Programme:
17 Oct
8:45-9:30 Registration
9:30-9:45 Opening
9:45 – 10:15 Nicolas Matentzoglu and Bijan Parsia. The OWL Full/DL gap in the field
10:15 – 10:45 David Carral, Adila Krisnadhi, Sebastian Rudolph and Pascal Hitzler. All But Not Nothing: Left-Hand Side Universals for Tractable OWL Profiles
10:45 – 11:15 Nicolas Matentzoglu and Bijan Parsia. OWL/ZIP: Distributing Large and Modular Ontologies
11:15 – 11:45 Coffee break
11:45 – 12:15 Chris Mungall, Heiko Dietze and David Osumi-Sutherland. Use of OWL within the Gene Ontology
12:15 – 12:45 David Osumi-Sutherland, Marta Costa, Robert Court and Cahir O’Kane. Virtual Fly Brain – Using OWL to support the mapping and genetic dissection of the Drosophila brain.
12:45 – 14:00 Lunch
14:00 – 15:00 Keynote: Nicola Guarino. On the semantics of reified relationships
Relationships reification is a common technique in the description logics community and in the development of OWL ontologies. Reification allows us to express (meta) properties inhering to a relationship itself, and in general to overcome the limits of dealing only with binary relations. But what’s the semantics of a reified relationship? For some, it is an assertion (of which we can express the provenance, for instance); for others, it is a fact (or a situation), which can occur at multiple times, so that some kind of temporal description logic may be adopted. And yet for others it is a particular temporal occurrence of a certain situation, i.e. a perdurant according to the DOLCE ontology, which becomes a member of the domain of discourse. In this talk I will defend the latter position, discussing the practical relevance of a methodological approach called “Episode-centric conceptual modeling”. Such approach shifts the focus of attention from relationships to their truth-makers, considered indeed –in most cases– as maximal perdurants (i.e., episodes, like a marriage, a loan, or a football game). I will discuss why and when it is important to represent such episodes explicitly, as well as why and when, in certain circumstances, it is necessary to go inside the microscopic structure of such episodes, analysing what would be responsible of internal changes within the episode itself. For instance, within their period of existence, a marriage can undergo a crisis, a loan can be restructured, a football game can become boring. This is ongoing work with Giancarlo Guizzardi.
15:00 – 15:30 Coffee break
15:30 – 16:00 Matthew Horridge, Csongor I Nyulas, Tania Tudorache and Mark Musen. WebProtégé: a Web-based Development Environment for OWL Ontologies
16:00 – 16:20 Ewa Kowalczuk, Jędrzej Potoniec and Agnieszka Lawrynowicz. Extracting Usage Patterns of Ontologies on the Web: a Case Study on GoodRelations Vocabulary in RDFa
16:20 – 16:50 poster and demo announcements
16:20 -16:25 Alexander Šimko and Ondrej Zamazal. Towards Searching for Transformation Patterns in Support of Language Profiling
16:25 -16:30 Catalina Martínez Costa and Stefan Schulz. An example of approximating DL reasoning by ontology-aware RDF querying
16:30 – 16:35 Ujwala Bharambe and Surya Durbha. Ontology Matching for Geospatial Domain
16:35 – 16:40 Ondrej Zamazal and Vojtěch Svátek. Automated Exploration of Ontology Repositories
16:40 – 16:45 Rafael Peñaloza and Aparna Saisree Thuluva. COBRA, a Demo
16:45 – 16:50 Zubeida Khan and C. Maria Keet. The ROMULUS resource for using foundational ontologies
16:50 – 17:00 Poster Setup
17:00 – 18:30 posters and demos evolving into a welcome reception
There is no official social dinner; the plan is to all go for dinner together
18 Oct
8:45-9:15 Registration
9:15 – 9:45 Tahani Alsubait, Bijan Parsia and Uli Sattler. Generating Multiple Choice Questions From Ontologies: Lessons Learnt
9:45 – 10:15 Catherine Chavula and C. Maria Keet. Is Lemon Sufficient for Building Multilingual Ontologies for Bantu Languages?
10:15 – 10:35 Matteo Matassoni, Marco Rospocher, Mauro Dragoni and Paolo Bouquet. Authoring OWL 2 ontologies with the TEX-OWL syntax
10:35 – 11:00 Coffee break
11:00 – 11:30 Alessandro Solimando, Ernesto Jimenez-Ruiz and Giovanna Guerrini. A Multi-strategy Approach for Detecting and Correcting Conservativity Principle Violations in Ontology Alignments
11:30 – 12:00 Birte Glimm, Yevgeny Kazakov, Ilianna Kollia and Giorgos Stamou. OWL Query Answering based on Query Extension
12:00 – 12:30 Marcelo Arenas, Bernardo Cuenca Grau, Evgeny Kharlamov, Sarunas Marciuska and Dmitriy Zheleznyakov. Enabling Faceted Search over OWL 2 with SemFacet
12:30 – 14:00 Lunch
14:00 – 15:00 Keynote: Claudia d’Amato. Machine Learning for Ontology Mining: Perspectives and Issues
In the Semantic Web view, ontologies play a key role. They act as shared vocabularies to be used for semantically annotating Web resources and they allow to perform deductive reasoning for making explicit knowledge that is implicitly contained within them. However, noisy/inconsistent ontological knowledge bases may occur, being the Web a shared and distributed environment, thus making deductive reasoning no more straightforwardly applicable. Machine learning techniques, and specifically inductive learning methods, could be fruitfully exploited in this case. Additionally, machine learning methods, jointly with standard reasoning procedure, could be usefully employed for discovering new knowledge from an ontological knowledge base, that is not logically derivable. The focus of the talk will be on various ontology mining problems and on how machine learning methods could be exploited for coping with them. For ontology mining are meant all those activities that allow to discover hidden knowledge from ontological knowledge bases, by possibly using only a sample of data. Specifically, by exploiting the volume of the information within an ontology, machine learning methods could be of great help for (semi-)automatically enriching and refining existing ontologies, for detecting concept drift and novelties within ontologies and for discovering hidden knowledge patterns (also possibly exploiting other sources of information). If on one hand this means to abandon sound and complete reasoning procedures for the advantage of uncertain conclusions, on the other hand this could allow to reason on large scale and to to dial with the intrinsic uncertainty characterizing the Web, that, for its nature, could have incomplete and/or contradictory information.
15:00 – 15:30 Coffee break
15:30 – 16:00 ORE report
16:00 – 16:45 OWL feature popularity contest and discussion of results
16:45 – 17:30 OWLED meeting, closing
There is no official social dinner; the plan is to all go for dinner together
