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- 568 isPartOf proceedings.
- 568 title "Understanding and Supporting Ontology Evolution by Observing the WWW Conference".
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- item-1 hasContent nicolas-guelfi.
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- item-2 hasContent cedric-pruski.
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- item-3 hasContent chantal-reynaud.
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- 569 creator eiichi-sunagawa.
- 569 creator kouji-kozaki.
- 569 creator riichiro-mizoguchi.
- 569 creator yoshinobu-kitamura.
- 569 type InProceedings.
- 569 label "A Framework for Cooperative Ontology Construction Based on Dependency Management of Modules".
- 569 sameAs 569.
- 569 abstract "To construct large scale ontologies, two major approaches are discussed by many researchers. One is a cooperative construction of ontologies, and the other is a modularization of ontologies. To combine these two approaches, this paper discusses a framework for supporting cooperative ontology construction based on dependency management among modularized ontologies. In such a situation, one of the key issues is the maintenance of consistency among inter-dependent ontologies because each ontology is revised asynchronously by different developers. In order to realize consistent development of ontologies, the framework provides two functions: to manage the dependencies between ontology modules and to keep and restore consistencies between them when they are influenced by changes of other modules. Furthermore, we outline an implementation of our framework in our environment for building/using ontology: Hozo.".
- 569 hasAuthorList authorList.
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- 569 title "A Framework for Cooperative Ontology Construction Based on Dependency Management of Modules".
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- item-1 hasContent kouji-kozaki.
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- item-2 hasContent eiichi-sunagawa.
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- item-3 hasContent yoshinobu-kitamura.
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- item-4 hasContent riichiro-mizoguchi.
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- 570 creator kevin-ottens.
- 570 creator marie-pierre-gleizes.
- 570 creator nathalie-aussenac-gilles.
- 570 creator valerie-camps.
- 570 type InProceedings.
- 570 label "Dynamic Ontology Co-Evolution from Texts: Principles and Case Study ".
- 570 sameAs 570.
- 570 abstract "As claimed in the Semantic Web project, a huge amount of physically distributed interacting software agents could find the semantic of available resources and answer more relevantly to users' requests if the content of these resources would be represented with formal semantic concepts defined in ontologies. Because Web information sources are highly dynamic and conceptually heterogeneous, one of the most challenging problems in the Semantic Web research is the proper and frequent ontology updating in keeping with knowledge changes. To tackle this problem, we have developed a self-organizing multi-agent system -Dynamo- able to create an ontology draft from automatic text processing. Because it is well-known that only a part of a domain description is explicitly described in texts, Dynamo enables an ontology co-construction with a domain expert in a fully interactive way. In this paper, we present the principles of this approach and related experiments. ".
- 570 hasAuthorList authorList.
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- 570 title "Dynamic Ontology Co-Evolution from Texts: Principles and Case Study ".
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- item-1 hasContent kevin-ottens.
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- item-2 hasContent nathalie-aussenac-gilles.
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- item-3 hasContent marie-pierre-gleizes.
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- item-4 hasContent valerie-camps.
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- 571 creator olga-streibel.
- 571 creator vlad-tanasescu.
- 571 type InProceedings.
- 571 label "Extreme Tagging: Emergent Semantics through the Tagging of Tags".
- 571 sameAs 571.
- 571 abstract "While the Semantic Web requires a large amount of structured knowledge (triples) to allow machine reasoning, the acquisition of this knowledge still represents an open issue. Indeed, expressing expert knowledge in a given formalism is a tedious process. Less structured annotations such as tagging have, however, proved immensely popular, whilst existing unstructured or semi-structured collaborative knowledge bases such as Wikipedia have proven to be useful and scalable. Both processes are often regulated through social mechanisms such as wiki-like operations, recommendations, ratings, and collaborative games. To promote collaborative tagging as a means to acquire unstructured as well as structured knowledge we introduce the notion of Extreme Tagging, which describes systems which allow the tagging of resources, as well as of tags themselves and their relations. We provide a formal description of extreme tagging followed by examples and highlight the necessity of regulatory processes which can be applied to it. We also present a prototype implementation.".
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- 571 title "Extreme Tagging: Emergent Semantics through the Tagging of Tags".
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- item-1 hasContent vlad-tanasescu.
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