Copyright © 2006 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply.
This document presents an ontology of temporal concepts, OWL-Time (formerly
DAML-Time) [4,10],
for describing the temporal content of Web pages and the temporal properties of
Web services. The ontology provides a vocabulary for expressing facts about
topological relations among instants and intervals, together with information
about durations, and about datetime information. We also demonstrate in detail,
using the Congo.com and Bravo Air examples from OWL-S [11],
how this time ontology can be used to support OWL-S, including use cases for defining input parameters and (conditional) output parameters. A use case for
meeting scheduling is also shown. In the appendix we also describe a time zone
resource in OWL we developed for not only the US but also the entire world,
including the time zone ontology, the US time zone instances, and the world time
zone instances.
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Temporal information is so common that it’s hard to find a real world Web
service without it. For example, whenever you place an online order, the order
date is always part of your order. When you reserve a car at a car rental site,
you have to specify the dates you need it. In response to this need, a temporal
ontology, OWL-Time (formerly DAML-Time), has been developed for describing the
temporal content of Web pages and the temporal properties of Web services. Its
development is being informed by temporal ontologies developed at a number of
sites and is intended to capture the essential features of all of them and make
them and their associated resources easily available to a large group of Web
developers and users. Although it can be used independently, we have made
sure it works well with OWL-S. Advantages of OWL-Time over XML Schema datatype
duration
and dateTime
will be discussed.
This document only presents the OWL encodings of the ontology. For a first-order logic axiomatization of the ontology, see [4,10]. In an extension of the time ontology [5,9], we also allow temporal predicates to apply directly to events, should the user wish, but here we restrict our treatment to temporal entities.
A simple use case example: "Suppose someone has a telecon scheduled for 6:00pm EST on November 5, 2006. You would like to make an appointment with him for 2:00pm PST on the same day, and expect the meeting to last 45 minutes. Will there be an overlap?" In this use case we can specify the facts about the telecon and the meeting using our ontology in OWL that will allow a temporal reasoner to determine whether there is a conflict. See [A Use Case for Scheduling] section for details.
More examples: "Someone who does a Web search trying to find a place to buy a book needed before next Tuesday may or may not be able to use an online bookstore that promises delivery within five business days."
"Someone doing a genealogical search may want to specify that the birthdate of a person is between 15 and 45 years before a known marriage date."
More use case examples will be described in detail in [Use Cases for Web Services] section below.
In keeping with SWBP policy, the code within the body of the note is in N3. Most of the code was generated by Protégé from the original OWL code in RDF/XML. Details in alternative syntaxes are given by links.
There are two subclasses of TemporalEntity
: Instant
and Interval
, and they are the only two subclasses of
TemporalEntity
:
:Instant a owl:Class ; rdfs:subClassOf :TemporalEntity .
:Interval a owl:Class ; rdfs:subClassOf :TemporalEntity .
:TemporalEntity a owl:Class ; rdfs:subClassOf :TemporalThing ; owl:equivalentClass [ a owl:Class ; owl:unionOf (:Instant :Interval) ] .
Intervals are, intuitively, things with extent and instants are, intuitively, point-like in that they have no interior points. It is generally safe to think of an instant as an interval with zero length, where the beginning and end are the same.
hasBeginning
and hasEnd
are relations between
instants and temporal entities, and the beginnings and ends of temporal
entities, if they exist, are unique. In some approach to infinite intervals, a
positively infinite interval has no end, and a negatively infinite interval has
no beginning. Hence, we use the relations hasBeginning
and
hasEnd
in the ontology, rather than defining functions
beginningOf
and endOf
, since the functions would not
be total. hasBeginning
, for example, can be specified as:
:hasBeginning a owl:ObjectProperty ; rdfs:domain :TemporalEntity ; rdfs:range :Instant .
inside
is a relation between an instant and an interval, and it
is not intended to include beginnings and ends of intervals. There is a
before
relation on temporal entities, which gives directionality to
time. If a temporal entity T1
is before another temporal
entity T2
, then the end of T1
is
before the beginning of T2
. Thus, before can be
considered to be basic to instants and derived for intervals.
Allen and Furgerson [1,2]
have developed a calculus of binary relations on intervals (e.g., meets,
overlaps) for representing qualitative temporal information and address the
problem of reasoning about such information. The relations between intervals
defined in their calculus can be defined in a relatively straightforward fashion
in terms of before
and identity on the beginning and end points.
The standard interval calculus assumes all intervals are proper, and we do that
here too. Proper intervals are ones whose beginning and end are different. It
can be specified as:
:ProperInterval a owl:Class ; rdfs:subClassOf :Interval ; owl:disjointWith :Instant .
OWL-Time provides the interval relations: intervalEquals
,
intervalBefore
, intervalMeets
,
intervalOverlaps
, intervalStarts
,
intervalDuring
, intervalFinishes
, and their reverse
interval relations: intervalAfter
, intervalMetBy
,
intervalOverlappedBy
, intervalStartedBy
,
intervalContains
, intervalFinishedBy
. For example, the
specification of intervalEquals
is:
:interval
Equals
a owl:ObjectProperty ;
rdfs:domain :ProperInterval ;
rdfs:range :ProperInterval .
The duration of an interval (or temporal sequence) can have many different
descriptions. An interval can be 1 day 2 hours, or 26 hours, or 1560 minutes,
and so on. It is useful to be able to talk about these descriptions in a
convenient way as independent objects, and to talk about their equivalences. We
do this first in terms of a predicate called durationOf
that takes
eight arguments, one for a temporal thing, and one each for years, months,
weeks, days, hours, minutes, and seconds. Then we will define a specific kind of
individual called a "duration description", together with a number of functions
relating the duration description to the values of each of the eight arguments.
Thereby we convert the 8-ary predicate durationOf
into eight binary
relations that are more convenient for description logic-based markup languages,
such as OWL:
:DurationDescription a owl:Class ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :seconds ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :minutes ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :hours ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :days ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :weeks ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :months ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :years ] .
An interval can have multiple duration descriptions (e.g., 2 days, 48 hours), but can only have one duration.
We use two different sets of properties for DateTimeDescription
and DurationDescription
, because their ranges are different. For
example, year
(in DateTimeDescription
) has a range of
xsd:gYear
, while years
(in
DurationDescription
) has a range of xsd:decimal
so
that you can say duration of 2.5 years.
iCalendar [3] is a widely supported standard for personal data interchange. It provides the definition of a common format for openly exchanging calendaring and scheduling information across the Internet. The representation of temporal concepts in this time ontology can be straightforwardly mapped to iCalendar. For example, duration of 15 days, 5 hours and 20 seconds is represented in iCalendar as P15DT5H0M20S, which can be represented in the time ontology as:
:duration a :DurationDescription ; :seconds 20 ; :hours 5 ; :days 15 .
The relation hasDurationDescription
is
used to specify a duration description for a temporal entity:
:hasDurationDescription a owl:ObjectProperty ; rdfs:domain :TemporalEntity ; rdfs:range :DurationDescription .
Other duration concepts can be straightforwardly defined. For example,
duration "Year" can be defined as a subclass of "DurationDescription" with the
restrictions that the "years" property is required (with "cardinality" of 1) and
all other properties (e.g., "hours", "months") should not be present (with
"cardinality" of 0):
:Year a owl:Class ; rdfs:subClassOf :DurationDescription ; rdfs:subClassOf [ a owl:Restriction ; owl:cardinality 1 ; owl:onProperty :years ] ; rdfs:subClassOf [ a owl:Restriction ; owl:cardinality 0 ; owl:onProperty :months ] ; ... rdfs:subClassOf [ a owl:Restriction ; owl:cardinality 0 ; owl:onProperty :seconds ] .Here we use "cardinality = 0" instead of restricting the values of days, etc. to 0. The reason is that using "cardinality = 0" means all those properties/fields (days, etc.) should not be specified (i.e., the granularity is "year"), while restricting all those values to 0 means they all have a fixed value of 0 (i.e., x years 0 months 0 days ...) and the granularity is actually "second", which is not the correct semantics of "year".
It's worth pointing out that there is a distinction between a year as a duration and a calendar year. The year from December 22, 2006 to December 21, 2007 is the former but not the latter.
What hour of the day an instant is in is relative to the time zone. This is also true of minutes, since there are regions in the world, e.g., central Australia, where the hours are not aligned with UTC hours, but are, e.g., offset half an hour. Seconds are not relative to the time zone.
Days, weeks, months and years are also relative to the time zone, since, e.g., 2006 began in the Eastern Standard time zone three hours before it began in the Pacific Standard time zone. Thus, predications about all datetime intervals except seconds are relative to a time zone.
We have been referring to time zones, but in fact it is more convenient to work in terms of what we might call the "time standard" that is used in a time zone. That is, it is better to work with the Pacific Standard Time (PST) as a legal entity than with the PST zone as a geographical region. A time standard is a way of computing the time, relative to a world-wide system of computing time. For each time standard, there is a zone, or geographical region, and a time of the year in which it is used for describing local times. Where and when a time standard is used have to be axiomatized, and this involves interrelating a time ontology and a geographical ontology. These relations can be quite complex. Only the entities like PST and EDT, the time standards, are part of the time ontology.
If we were to conflate time zones (i.e., geographical regions) and time standards, it would likely result in problems in several situations. For example, the Eastern Standard zone and the Eastern Daylight zone are not identical, since most of Indiana was on Eastern Standard time all year. The state of Arizona and the Navajo Indian Reservation, two overlapping geopolitical regions, have different time standards during the daylight saving times -- one is Pacific and the other is Mountain.
Time standards that seem equivalent, like Eastern Standard and Central Daylight, should be thought of as separate entities. Whereas they function the same in the time ontology, they do not function the same in the ontology that articulates time and geography. For example, it would be false to say those parts of Indiana shifted in April from Eastern Standard to Central Daylight time.
See [Appendix B] for the details about a time zone resource we developed in OWL.
A datetime description has the following properties/fields:
unitType
, year
, month
, week
,
day
, dayOfWeek
, dayOfYear
,
hour
, minute
, second
, and
timeZone
. The property unitType
specifies the temporal
unit type of the datetime description, and its domain is
TemporalUnit
:
:TemporalUnit a owl:Class ; owl:equivalentClass [ a owl:Class ; owl:oneOf (:unitSecond :unitMinute :unitHour :unitDay :unitWeek :unitMonth :unitYear) ] .
For example, the temporal unit type of 10:30 is minute
(unitMinute
), and the temporal unit type of March 20, 2006 is day
(unitDay
). The unit type is required. With a given temporal unit
type, all the fields/properties for smaller units will be ignored. For instance,
if the temporal unit type is day (unitDay
), the values of the
field/property hour, minute, and second, if present, will be ignored. Since
datetime description is for describing datetime intervals, we defined a
property, called hasDateTimeDescription
with
DateTimeDescription
as the range, for datetime intervals. To
represent "March 12 in 2006", for example, using datetime description, we need
an instance of DateTimeDescription
that has values only for
unitType
(unitDay
), year
(2006),
month
(3), and day
(12).
DateTimeDescription
and hasDateTimeDescription
are
defined in OWL as:
:DateTimeDescription a owl:Class ; rdfs:subClassOf [ a owl:Restriction ; owl:cardinality 1 ; owl:onProperty :unitType ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :second ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :minute ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :hour ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :day ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :dayOfWeek ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :dayOfYear ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :week ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :month ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :year ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :timeZone ] . :hasDateTimeDescription a owl:ObjectProperty ; rdfs:domain :DateTimeInterval ; rdfs:range :DateTimeDescription .
DateTimeInterval
is a subclass of ProperInterval
.
Any TemporalEntity
has a duration, but only
DateTimeInterval
can have DateTimeDescription
(e.g.,
May 8 has a DateTimeDescription
, but the interval from 1:30pm, May
8, to 1:30pm, May 9, does not. Both have a duration of a day. A
DateTimeDescription
is always a description of an interval
(DateTimeInterval
), not an instant, which can be described
by inDateTime
and inXSDDateTime
, as described
later in the section.
The domain of the property dayOfWeek
is the class
DayOfWeek
:
:DayOfWeek a owl:Class ; owl:equivalentClass [ a owl:Class ; owl:oneOf (:Sunday :Monday :Tuesday :Wednesday :Thursday :Friday :Saturday) ] .
Other datetime concepts can be straightforwardly defined.
For example, "January" can be defined as a a subclass of
DateTimeDescription
with the restrictions that the
unitType
property has allValuesFrom
unitMonth and
property month
hasValue
of 1:
:January a owl:Class ; rdfs:subClassOf :DateTimeDescription ; rdfs:subClassOf [ a owl:Restriction ; owl:onProperty :unitType owl:hasValue :unitMonth ] ; rdfs:subClassOf [ a owl:Restriction ; owl:onProperty :month owl:hasValue --01 ; ] .
In order to specify that an instant is in a datetime interval, an
inDateTime
property/relation is defined similarly to
hasDateTimeDescription
as follows:
:inDateTime a owl:ObjectProperty ; rdfs:domain :Instant ; rdfs:range :DateTimeDescription .
With this inDateTime
relation, we can say that an instant
happens at a specific time. For example, the beginning of a meeting, which is an
instant, is at 6:00pm which is actually in a datetime interval of [6:00:00,
6:01:00). With inDateTime
you do not describe instants; you only
approximate them by confining them within an interval. This should generally be
adequate. Where it is not, you can always define an instant in a roundabout way
as the beginning of an interval.
We also defined in OWL two simpler relations,
xsdDateTime
and inXSDDateTime
. The only difference
between these two relations and the above hasDateTimeDescription
and
inDateTime
relations is their ranges: these two simpler relations
use the XML Schema datatype dateTime
as their ranges, while the
above uses DateTimeDescription
:
:xsdDateTime a owl:DatatypeProperty ; rdfs:domain :DateTimeInterval ; rdfs:range xsd:dateTime . :inXSDDateTime a owl:DatatypeProperty ; rdfs:domain :Instant ; rdfs:range xsd:dateTime .
To illustrate more clearly the difference between using
DateTimeDescription
and using the XML datatype
dateTime
, let’s look at a concrete example: an instant that
represents the start of a meeing, called meetingStart
, happens at
10:30am EST on 01/01/2006 can be expressed using both inXSDDateTime
and inDateTime
in OWL as:
:meetingStart a :Instant ; :inDateTime :meetingStartDescription ; :inXSDDateTime 2006-01-01T10:30:00-5:00 . :meetingStartDescription a :DateTimeDescription ; :unitType :unitMinute ; :minute 30 ; :hour 10 ; :day 1 ; :dayOfWeek :Sunday ; :dayOfYear 1 ; :week 1 ; :month 1 ; :timeZone tz-us:EST ; :year 2006 .
We can see from this example that it’s much more concise to use the XML
Schema datatype dateTime
. However, the advantage of using
DateTimeDescription
is that it can express more information than
dateTime
, such as "week", "day of week" and "day of year", so in
the above example, we can also know that 01/01/2006 is Sunday, on the first
day of the year, and in the first week of the year.
The namespace “tz-us” points to our US time zone data [17].
Moreover, each field of DateTimeDescription
is separate so that
it's easier to extract the value of some fields for the later use and easier to
reason about.
[RDF/XML]
Congo.com and Bravo Air are the two examples used in the OWL-S 0.9 draft release [12] (the most recent release is OWL-S 1.1 [13], and we use code in 0.9 draft release here for illustrative purpose). Congo.com is a fictitious book-selling service site, and Bravo Air is a fictitious airline-ticketing service site. We use these two examples to demonstrate in detail how the time ontology can be used to support OWL-S, including use cases for defining input parameters and (conditional) output parameters.
In the profile of the Congo.com example (i.e. CongoProfile.owl), for example,
our time ontology is currently used for describing the input parameter
CreditCardExpirationDate
:
profile:CreditCardExpirationDate a profile:ParameterDescription ; profile:parameterName creditCardExpirationDate ; profile:restrictedTo time:Instant ; profile:referTo congoProcess:creditCardExpirationDate .
The namespace “time” points to the location of the OWL code for the time
ontology. In this example Instant
is used to describe
CreditCardExpirationDate
, because the expiration date is actually
an instant -- the midnight, of the day the credit card expires.
In the Bravo Air example, our time ontology can be used to describe the
existing input parameters, DepartureDate
and
ArrivalDate
. We will change this to the more appropriate
DepartureTime
and ArrivalTime
. We can define
DepartureTime
in the profile of the Bravo Air example (i.e.
BravoAirProfile.owl) as:
profile:DepartureTime a profile:ParameterDescription ; profile:parameterName DepartureTime ; profile:restrictedTo time:Instant ; profile:referTo ba_process:outboundDate_In .
DepartureTime
is defined as Instant
. With this
definition, as we discussed in the previous datetime description section, an
instance of DepartureTime
can has either an
inXSDDateTime
property/relation pointing to a specific value of XML
Schema datatype dateTime, say 2006-01-01T10:30:00-5:00, or an
inDateTime
object-property/relation pointing to an instance of
DateTimeDescription
class specifying a specific time, say 10:30am
EST on 01/01/2006, Sunday. It would be the user’s decision to define the time
in either way based on the trade-offs discussed in the previous section.
In fact, there is much more that our time ontology can do to support OWL-S. In the Congo.com and Bravo Air examples, the time ontology is not used for any output parameters. However, in the real world many service outputs are time-related. For example, in the Congo.com example we can add two outputs that are very common in real world book-selling sites: process time and delivery duration.
ProcessTime
output parameterProcessTime
is a conditional output parameter that specifies how
long before the book will be ready for delivery, say, 24 hours, which depends on
whether the book is in stock. In this use case, the process time is returned
only if the book is in stock. It can be defined in the process model of the
Congo.com example (i.e. CongoProcess.owl) as:
:ProcessTime a owl:Class ; rdfs:subClassOf time:Interval . :fullCongoBuyProcessTime a rdf:Property ; rdfs:subPropertyOf process:output ; rdfs:domain :FullCongoBuy ; rdfs:range [ a owl:Class ; rdfs:subClassOf process:ConditionalOutput ; rdfs:subClassOf [ a owl:Restriction ; owl:allValuesFrom :BookInStock ; owl:onProperty process:coCondition ] ; ] ; rdfs:subClassOf [ a owl:Restriction ; owl:allValuesFrom :ProcessTime ; owl:onProperty process:coOutput ] .
ProcessTime
is defined as an interval, rather than a duration.
As discussed previously, in our time ontology durations are properties of
intervals. Thus to talk about a duration, i.e. a quantity of time, an interval
must be defined first. This approach may look roundabout at first glance.
However, the process time is not purely a quantity of time; it has a location on
the time line. The beginning of the process time is the time the user places the
order, and the end of the process time is the time the order is shipped out. An
advantage of defining ProcessTime
as an interval is that if the
relationship among the order time, the shipping time, and the process time is
known, any one of them (e.g. the shipping time) can be computed from the other
two (e.g. the order time and the process time) by temporal arithmetic.
DeliveryDuration
output parameterDeliveryDuration
is a conditional output parameter that
specifies how long it will take for the customer to receive the book after it is
shipped out, which depends on the delivery type the customer selects. As defined
in the process model of the Congo.com example (i.e. CongoProcess.owl), the
current delivery types are FedExOneDay, FedEx2-3day, UPS, and OrdinaryMail.
To add this output parameter may seem similar to the above
ProcessTime
example. However, since an instance of
Condition
is a logical formula that evaluates to true or false (see
the comment with the definition of Condition [14]),
DeliveryType
cannot be directly used as a condition to determine
the delivery duration. Thus one property and one condition are defined for each
delivery type.
DeliveryDuration
is defined with two boundaries: one
minDeliveryDuration
and one maxDeliveryDuration
. For
example, an order with the FedEx2-3day delivery type takes 2 to 3 days, so its
min delivery duration is 2 days, and its max delivery duration is 3 days. For
the delivery duration of the order with FedExOneDay delivery type, the min and
max delivery duration will both be 1 day. We can define
DeliveryDuration
in the process model of the Congo.com example
(i.e. CongoProcess.owl) as:
:DeliveryDuration a owl:Class ; rdfs:subClassOf [ a owl:Restriction ; owl:cardinality 1 ; owl:onProperty :maxDeliveryDuration ] ; rdfs:subClassOf [ a owl:Restriction ; owl:cardinality 1 ; owl:onProperty :minDeliveryDuration ] . :maxDeliveryDuration a rdf:Property ; rdfs:domain :DeliveryDuration ; rdfs:range time:Interval . :minDeliveryDuration a rdf:Property ; rdfs:domain :DeliveryDuration ; rdfs:range time:Interval .
Both minDeliveryDuration
and maxDeliveryDuration
are defined as properties of DeliveryDuration
. For the same
reason discussed for the process time example, both properties use Interval as
their ranges. The cardinality of 1 for both properties in the definition of
DeliveryDuration
indicates that an instance of
DeliveryDuration
must have one and only one property value for
minDeliveryDuration
and maxDeliveryDuration
respectively. For example, in order to define delivery duration for
FedEx2-3day, we have to first define a condition of FedEx2-3day being
selected:
:FedEx2-3dayCondition a owl:Class ; rdfs:subClassOf process:Condition .
Then we define an output property, called
deliverySelectFedEx2-3day
that is conditional on
FedEx2-3dayCondition
defined above:
:deliverySelectFedEx2-3day a rdf:Property ; rdfs:subPropertyOf process:output ; rdfs:domain :SpecifyDeliveryDetails ; rdfs:range [ a owl:Class ; rdfs:subClassOf process:ConditionalOutput ; rdfs:subClassOf [ a owl:Restriction ; owl:allValuesFrom :FedEx2-3dayDuration ; owl:onProperty process:coOutput ] ; rdfs:subClassOf [ a owl:Restriction ; owl:allValuesFrom :FedEx2-3dayCondition ; owl:onProperty process:coCondition ] .
This definition says that deliverySelectFedEx2-3day
is a
conditional output, and if FedEx2-3dayCondition
is true, an
instance of FedEx2-3dayDuration
class will be the output.
FedEx2-3dayDuration
is not defined yet. In order to define it, we
have to define its min delivery duration, i.e. 2 days, and max delivery
duration, i.e. 3 days. Since the range of minDeliveryDuration
and
maxDeliveryDuration
is Interval
, intervals with
specific durations need to be created first. For
FedEx2-3dayDuration
, we need to define Interval2Days
and Interval3Days
first as follows:
:Interval2Days a owl:Class ; rdfs:subClassOf time:Interval ; owl:subClassOf [ a owl:Restriction ; owl:hasValue P2D ; owl:onProperty time:durationDescriptionDataType ] . :Interval3Days a owl:Class ; rdfs:subClassOf time:Interval ; owl:subClassOf [ a owl:Restriction ; owl:hasValue P3D ; owl:onProperty time:durationDescriptionDataType ] .
These two definitions use durationDescriptionDataType
, a
relatively simpler duration property of Interval
using the XML
Schmea datatype duration
as its range. P2D
and
P3D
are values of the XML Schema datatype duration
,
meaning 2 days and 3 days.
Finally, FedEx2-3dayDuration
restricts the value of
minDeliveryDuration
and maxDeliveryDuration
to class
Interval2Days
and Interval3Days
respectively as
follows:
:FedEx2-3dayDuration a owl:Class ; rdfs:subClassOf :DeliveryDuration ; rdfs:subClassOf [ a owl:Restriction ; owl:allValuesFrom :Interval3Days ; owl:onProperty :maxDeliveryDuration ] ; rdfs:subClassOf [ a owl:Restriction ; owl:allValuesFrom :Interval2Days ; owl:onProperty :minDeliveryDuration ] .
Properties to output delivery durations when the user selects other delivery types (FedExOneDay, UPS, and OrdinaryMail) can be defined similarly.
[RDF/XML]
Suppose someone has a telecon scheduled for 6:00pm EST on November 5, 2006. You would like to make an appointment with him for 2:00pm PST on the same day, and expect the meeting to last 45 minutes. Will there be an overlap?
In this use case we can specify the facts about the telecon and the meeting using our ontology in OWL that will allow a temporal reasoner to determine whether there is a conflict:
:telecon a :Interval ; :hasBeginning :teleconStart . :meeting a :Interval ; :hasBeginning :meetingStart ; :hasDurationDescription :meetingDuration . :teleconStart a :Instant ; :inXSDDateTime 2006-11-05T18:00:00-5:00 . :meetingStart a :Instant ; :inXSDDateTime 2006-11-05T14:00:00-8:00 . :meetingDuration a :DurationDescription ; :minutes 45 .
The telecon and the meeting are defined as intervals.
hasBeginning
is used for specifying the start times of the
meetings. The datetimes are specified using inXSDDateTime
. The
duration of the meeting is specified using the duration description class.
Classes (subclass relations)
TemporalEntity
Instant
Interval
ProperInterval
DateTimeInterval
DurationDescription
DateTimeDescription
TemporalUnit
DayOfWeek
Properties
Property Name |
Domain |
Range |
before |
TemporalEntity |
TemporalEntity |
after |
TemporalEntity |
TemporalEntity |
hasBeginning |
TemporalEntity |
Instant |
hasEnd |
TemporalEntity |
Instant |
inside |
Interval |
Instant |
intervalEquals |
ProperInterval |
ProperInterval |
intervalBefore |
ProperInterval |
ProperInterval |
intervalMeets |
ProperInterval |
ProperInterval |
intervalOverlaps |
ProperInterval |
ProperInterval |
intervalStarts |
ProperInterval |
ProperInterval |
intervalDuring |
ProperInterval |
ProperInterval |
intervalFinishes |
ProperInterval |
ProperInterval |
intervalAfter |
ProperInterval |
ProperInterval |
intervalMetBy |
ProperInterval |
ProperInterval |
intervalOverlappedBy |
ProperInterval |
ProperInterval |
intervalStartedBy |
ProperInterval |
ProperInterval |
intervalContains |
ProperInterval |
ProperInterval |
intervalFinishedBy |
ProperInterval |
ProperInterval |
years |
DurationDescription |
xsd;decimal |
months |
DurationDescription |
xsd;decimal |
weeks |
DurationDescription |
xsd;decimal |
days |
DurationDescription |
xsd;decimal |
hours |
DurationDescription |
xsd;decimal |
minutes |
DurationDescription |
xsd;decimal |
seconds |
DurationDescription |
xsd;decimal |
hasDurationDescription |
TemporalEntity |
DurationDescription |
unitType |
DateTimeDescription |
TemporalUnit |
year |
DateTimeDescription |
xsd;gYear |
month |
DateTimeDescription |
xsd;gMonth |
week |
DateTimeDescription |
xsd;nonNegativeInteger |
day |
DateTimeDescription |
xsd;gDay |
dayOfWeek |
DateTimeDescription |
DayOfWeek |
dayOfYear |
DateTimeDescription |
xsd;nonNegativeInteger |
hour |
DateTimeDescription |
xsd;nonNegativeInteger |
minute |
DateTimeDescription |
xsd;nonNegativeInteger |
second |
DateTimeDescription |
xsd;decimal |
timeZone |
DateTimeDescription |
tzont;TimeZone |
inDateTime |
Instant |
DateTimeDescription |
inXSDDateTime |
Instant |
xsd;dateTime |
hasDateTimeDescription |
DateTimeInterval |
DateTimeDescription |
xsdDateTime |
DateTimeInterval |
xsd;dateTime |
We have developed a time zone resource [15] in OWL for not only the US but also the entire world, including three parts: the time zone ontology file [16], the US time zone instance file [17], and the world time zone instance file [18].
The time zone ontology links a preliminary geographic ontology with a time ontology. It defines the vocabulary about regions, political regions (countries, states, counties, reservations, and cities), time zones, daylight saving policies, and the relationships between these concepts. Its instances also link to other existing data on the Web, such as FIPS 55 county instances [19], and ISO country instances [20].
It can handle all the usual time zone and daylight savings cases. For example, Los Angles uses PST, the time offset from Coordinated Universal Time (UTC) is -8 hours, and it observed daylight savings from April 2 to October 29 in 2006. But it handles unusual cases as well. For example, in Idaho the northern part is in the Pacific zone, the southern part in the Mountain. The city of West Wendover, Nevada is in the Mountain time zone, while the rest of Nevada is in the Pacific.
Suppose someone has a telecon scheduled for 6:00pm EST on November 5, 2006. You would like to make an appointment with him for 2:00pm PST on the same day, and expect the meeting to last 45 minutes. Will there be an overlap? In order to specify the facts about the telecon and the meeting and reason about the relation between them, a time zone ontology would be necessary to help a time ontology (e.g. OWL-Time) to resolve the time difference between EST and PST. [Anticipated Use] will be described in detail in a later section.
We take PoliticalRegion
to be a subclass of Region
with the following properties:
This can be defined in OWL as:
:PoliticalRegion a owl:Class ; rdfs:subClassOf :Region ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :name ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :hasParentRegion ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 3 ; owl:onProperty :hasTimeZone ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :observesDaylightSavingsTime ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :hasDaylightSavingsPolicy ] ; rdfs:subClassOf [ a owl:Restriction ; owl:minCardinality 0 ; owl:onProperty :exceptionalRegion ] ; rdfs:subClassOf [ a owl:Restriction ; owl:minCardinality 0 ; owl:onProperty :timeZonePart ] .
Countries, states, counties, cities, and reservations are all subclass of
political regions with different range types for the
hasParentRegion
property.
For example, Country
and State
can be defined in OWL as:
:Country a owl:Class ; rdfs:subClassOf :PoliticalRegion .
:State a owl:Class ; rdfs:subClassOf :PoliticalRegion ; owl:subClassOf [ a owl:Restriction ; owl:onProperty :hasParentRegion ; owl:allValuesFrom :Country ] .Time zones have two properties:
This can be defined in OWL as:
:TimeZone a owl:Class ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :name ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :GMToffset ] .
We assume default reasoning is used for this ontology. When a political
region lacks one of its properties, we will use the one from its parent region.
Thus all political sub-regions of the United States get their
DaylightSavingsPolicy
values from that of the United States,
provided their observesDaylightSavingsTime
property is true. All
counties in California get their hasTimeZone
values from
California, whereas the hasTimeZone
value is specified for each
county in Kentucky and not for the state as a whole, since it is split between
the Eastern and Central time zones. When most of a region is in one time zone,
and only some exceptional sub-regions are in different time zones or have
different daylight savings time policies, we use exceptionalRegion
to point to each exceptional sub-region, e.g. West Wendover, which is in the
Mountain time zone, is an exception in Nevada, which is otherwise in the Pacific
time zone. Here is the OWL code of Nevada and West
Wendover in the US time zone instance file [17]:
:us-states:NV a :State ; :hasParentRegion iso:US; :hasTimeZone :PST ; :observesDaylightSavingsTime true ; :exceptionalRegion :NVWestWendoverCity . :NVWestWendoverCity a :City ; :name "West Wendover City" ; :stateOf us-states:NV ; :hasTimeZone :MST ; owl:sameIndividualAs <http://www.daml.org/2003/02/fips55/NV.owl#p83730> .
When different parts of the same county are in different time zones, the
hasTimeZone
is not specified for the county. Instead the
hasTimeZone
is specified for each part with different time zones,
and the timeZonePart
property is used to point to the parts from
the county instance, e.g. the two different time zone parts in Idaho County,
Idaho. Here is the OWL encoding of Idaho County, Idaho in our US time zone
instance file [17]:
:IDIdaho a :County ; :name "Idaho County" ; :hasParentRegion us-states:ID ; :timeZonePart :IDIdahoPST , :IDIdahoMST ; owl:sameIndividualAs <http://www.daml.org/2003/02/fips55/ID.owl#c049> .
DaylightSavingsPolicy
has one property:
EnumeratedDaylightSavingsPolicy
, a subclass of
DaylightSavingsPolicy
, has the following properties:
This can be defined in OWL as:
:EnumeratedDaylightSavingsPolicy a owl:Class ; rdfs:subClassOf :DaylightSavingsPolicy ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :DLSendDate ] ; rdfs:subClassOf [ a owl:Restriction ; owl:maxCardinality 1 ; owl:onProperty :DLSstartDate ] .
DLSstartDate
and DLSendDate
properties have the
range of xsd:date. In the current instance
files, different daylight saving policies were only defined for year 2006 as
instances of EnumeratedDaylightSavingsPolicy
, e.g.
USA2006DLS
for the United States, and EU2006DLS
for
the European Union.
Alternatively, a temporal aggregates ontology in OWL-Time can be used to describe the daylight saving policies. For example, in the US daylight saving starts on "the first Sunday of every April", which can be expressed in OWL as:
:tseq a :TemporalSeq ; :hasTemporalAggregateDescription :firstSunEveryApril .
:tseq-everyApril a :TemporalSeq ; :hasTemporalAggregateDescription :everyApril .
:everyApril a :TemporalAggregateDescription ; :hasTemporalUnit :unitMonth ; :hasithTemporalUnit 4 . :firstSunEveryApril a :TemporalAggregateDescription ; :hasContextTemporalSeq :tseq-everyApril ; :hasContextTemporalUnit :unitMonth ; :hasithTemporalUnit 7 ; :hasTemporalUnit :unitDay ; :hasPosition 1 .
This defines the desired temporal sequence tseq
of class
TemporalSeq
which has a
hasTemporalAggregateDescription
property that points to a temporal
aggregate description firstSunEveryApril
that describes the
temporal sequence. In order to describe this two-layered temporal sequence ("the
first Sunday" of "every April"), the outside layer ("every April"), i.e. the
context temporal sequence (tseq-everyApril
), needs to be defined
first. This context temporal sequence also has its own
hasTemporalAggregateDescription
property that points to
everyApril
which describes that it is the every 4th
(hasithTemporalUnit
of 4) month (hasTemporalUnit
of
unitMonth
). The desired temporal sequence is then defined as "the
first (hasPosition
of 1) Sunday (hasithTemporalUnit
of
7 and hasTemporalUnit
of unitDayOfWeek
) of every April
(hasContextTemporalSeq
of tseq-everyApril
and
hasContextTemporalUnit
of unitMonth
)".
For details about the temporal aggregates ontology and its use case examples, please see [6,7].
[RDF/XML]
The expected input to the ontology is a location, e.g. a city, and the output
will be its current time offset, say -6 hours, from the Greenwich Mean Time
(GMT).
The ontology would be used as follows: given an input location, we
first find in the ontology the lowest-level political region containing this
location, say a county, then go up along the political region hierarchy based on
the hasParentRegion
property to the top of the hierarchy, usually a
country. Along the path to the top, we get all the available information from
each node (region) in order to calculate the time offset from the GMT. The
information includes the time zone this location is in, whether it uses Daylight
Savings (DLS) time, and if it does, what the start and end dates are.
However, flexible inputs and more efficiency are supported by using the
exceptionalRegion
and timeZonePart
properties, i.e.
the location input does not have to be as detailed as the lowest-level political
region, especially because usually only the information about what state it is
in would be enough to calculate the time offset from the GMT for the input
location.
If the input only says it's a location of a state without specifying the
county or city it is in, then we can first go to its state and see whether we
can find all the information we need there, i.e. time zone and daylight savings
information. If the state doesn't have any exceptionalRegion
’s,
then we don't need any more inputs for this location, and can safely go up along
the political region hierarchy to the top of the hierarchy, e.g. the country US,
and get all the information we need along the way to calculate the time offset
from the GMT for this location. If the state does have any
exceptionalRegion
’s, however, we have to check each exceptional
region to see whether this location is in it or not, at this checking phase,
more detailed information about this location may be needed, i.e. which
county/city/reservation it is in. If it's in an exceptional county that further
has timeZonePart
’s, then even more detailed information is needed
from the input, i.e. which time zone part the location is in within this county.
When reaching a sub-region with no exceptionalRegion
’s or
timeZonePart
’s, we know for sure that no more input location
information is needed and it's safe to go up along the political region
hierarchy to the top, and get all the information we need to calculate the time
offset from the GMT for this location.
For example, suppose the input
location is a location in West Wendover, Nevada, but at first we only know it's
in Nevada (please see the OWL code [in the
previous section]). In the ontology, we first find Nevada state, from which
we see one exceptional region pointing to West Wendover City, then we ask for
further input location information: which city is this location in? Say we get
West Wendover City. Since it matches the exceptional region, we then go to the
West Wendover City instance to get its time zone information, which is the
Mountain time zone. Since there is no exceptionalRegion
’s or
timeZonePart
’s in the West Wendover City instance, it's now safe
for us to go up along the hierarchy to the top, the United States. Along the
path, at Nevada State we learn this location uses DLS time, then at its parent
region, the US, we learn the DLS policy used is USA2006DLS which specifies the
start date of the DLS in 2006 is 04/02/2006 and the end date is 10/29/2006.
Based on our current time, e.g. 1:50pm on 09/06/2006, we know the current time
offset from the GMT at this location is -7 hours.
[1] Allen, J. F. 1984. Towards a general theory of action
and time. Artificial Intelligence 23, pp. 123-154.
[2] Allen, J. F. and Ferguson, G. 1997. Actions and events in
interval temporal logic. In Spatial and Temporal Reasoning. O. Stock,
ed., Kluwer, Dordrecht, Netherlands, 205-245.
[3] Dawson, F. and Stenerson, D. 1998. Internet Calendaring and Scheduling Core Object Specification (iCalendar), RFC2445. http://www.ietf.org/rfc/rfc2445.txt
[4] Hobbs, J. R. and Pan, F. 2004. An Ontology of Time for the Semantic Web. ACM Transactions on Asian Language Processing (TALIP): Special issue on Temporal Information Processing, Vol. 3, No. 1, March 2004, pp. 66-85.
[5] Pan, F and Hobbs, J. R. 2004. Time in OWL-S. In Proceedings of the AAAI Spring Symposium on Semantic Web Services, Stanford University, CA, pp. 29-36.
[6] Pan, F and Hobbs, J. R. 2005. Temporal Aggregates in OWL-Time. In Proceedings of the 18th International Florida Artificial Intelligence Research Society Conference (FLAIRS), Clearwater Beach, Florida, pp. 560-565, AAAI Press.
[7] Pan, F. 2005. A Temporal Aggregates Ontology in OWL for the Semantic Web. In Proceedings of the AAAI Fall Symposium on Agents and the Semantic Web, Arlington, Virginia, pp. 30-37.
[8] OWL code of the time ontology. http://www.w3.org/2006/time
[9] OWL code of the entry sub-ontology of time. http://www.w3.org/2006/time-entry
[10] OWL-Time Homepage: http://www.isi.edu/~pan/OWL-Time.html
[11] OWL-S homepage. http://www.daml.org/services/owl-s/
[12] OWL-S 0.9 release. http://www.daml.org/services/daml-s/0.9/
[13] OWL-S 1.1 release. http://www.daml.org/services/owl-s/1.1/
[14] The process file of the OWL-S 0.9 release. http://www.daml.org/services/owl-s/0.9/Process.owl
[15] The homepage of the time zone resource in OWL. http://www.isi.edu/~pan/timezonehomepage.html
[16] The time zone ontology file. http://www.w3.org/2006/timezone
[17] The US time zone instance file. http://www.w3.org/2006/timezone-us
[18] The world time zone instance file. http://www.w3.org/2006/timezone-world
[19] FIPS 55 County instance file. http://www.daml.org/2003/02/fips55/
[20] ISO Country instance file. http://www.daml.org/2001/09/countries/iso
The editors would like to thank Deborah McGuinness, Chris Welty, and the reviewers of the earlier versions of the doucment, i.e., Jeremy Carroll, John McClure, Libby Miller, and Guus Schreiber, for their very helpful feedbacks and comments to the document.