= Use Case Title: Ontology Mediated Information Retrieval =
Version |
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Date/Time |
-04 June 2007 ~ |
Original author |
~ Umberto Straccia ~ |
Current lead |
Umberto Straccia |
Last Modified By |
Umberto Straccia |
Primary Actors |
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Secondary Actors |
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Application domain |
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Triggering event |
Purpose/Goals (Summarize what the use case is to accomplish, e.g. story, real world example)
Suppose we want to device ontology mediated multimedia information retrieval system, which combines logic-based retrieval with multimedia feature-based similarity retrieval. An ontology layer may be used to define (in terms of semantic web like language) the relevant abstract concepts and relations of the application domain, while a content-based multimedia retrieval system is used for feature-based retrieval. We ask to make queries such as
- Find top-k ranked video passages made by Umberto whose title is about 'tour' - Find top-k ranked images similar to a given one, which is about an animal
Issues and Relevance to Uncertainty (Summarize how relevant to uncertainty (vagueness, ambiguity, imprecision,…) reasoning)
The notion of "Relevance" in Multimedia Information Retrieval can be formalized as a vague relation among information need and multimedia object. The uncertainty type is vagueness(UncertaintyType:Vagueness), as matchings are found only to some degree. The possible model is based on mathematical fuzzy logic(UncertaintyModel:Fuzzy Sets). A reasoning procedure is also involved (Agent:Machine:Machine Deduction - optimizing finding top-k answers on the web).
Assumptions/Preconditions (List the preconditions necessary for this use case to occur, including description of necessary context)
Required Resources (List the general resources, such as data sources, ontologies, needed for scenario)
Successful End (Describe what happens if this use case is successful)
Failed End (Describe what happens if this use case fails)
Main Scenario (List the sequence of events for the basic course (numbered))
Existing software or other resources (Summarize/provide references to existing tools that may be relevant to the use case problem, including examples of Required Resources noted above)
Additional background information or references (Summarize/provide references to information to further describe or characterize use case)
- @inproceedings{Straccia07a,
- Address = {Insbruck, Austria}, Author = {Straccia, Umberto and Visco, Giulio}, Booktitle = {Proceeedings of the International Workshop on Description Logics (DL-07)}, Publisher = {CEUR}, Title = {{DLM}edia: an Ontology Mediated Multimedia Information Retrieval System}, Volume = {250}, Year = {2007}}
- Basic System reference: there a system, which go towards iplementing the use case.
DLMedia, a fuzzy DLR-Lite reasoner with a built-in top-k multimedia retrieval engine (http://gaia.isti.cnr.it/~straccia/software/DLMedia/DLMedia.html)
Variations (List the alternatives that will not be further decomposed at this time)
Open Issues