%0 Conference Paper %1 Ottens/2007/Dynamic %A Ottens, Kévin %A Aussenac-Gilles, Nathalie %A Gleizes, Marie-Pierre %A Camps, Valérie %B Proceedings of the International Workshop on Emergent Semantics and Ontology Evolution (ESOE2007) at ISWC/ASWC2007, Busan, South Korea %D 2007 %E Haase, Peter %E Hotho, Andreas %E Chen, Luke %E Ong, Ernie %E Mauroux, Philippe Cudre %K 2007 case co-evolution dynamic iswc ontology principle study workshop_esoe %T Dynamic Ontology Co-Evolution from Texts: Principles and Case Study %X 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.

@inproceedings{Ottens/2007/Dynamic, 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.}, added-at = {2007-11-07T19:17:05.000+0100}, author = {Ottens, Kévin and Aussenac-Gilles, Nathalie and Gleizes, Marie-Pierre and Camps, Valérie}, biburl = {https://www.bibsonomy.org/bibtex/2f01ed278de5d8ea7ec9def5fbae850d8/iswc2007}, booktitle = {Proceedings of the International Workshop on Emergent Semantics and Ontology Evolution (ESOE2007) at ISWC/ASWC2007, Busan, South Korea}, crossref = {http://data.semanticweb.org/workshop/esoe/2007/proceedings}, editor = {Haase, Peter and Hotho, Andreas and Chen, Luke and Ong, Ernie and Mauroux, Philippe Cudre}, interhash = {982884d949eed3e988f3857b2c33a90a}, intrahash = {f01ed278de5d8ea7ec9def5fbae850d8}, keywords = {2007 case co-evolution dynamic iswc ontology principle study workshop_esoe}, month = {November}, timestamp = {2007-11-07T19:20:50.000+0100}, title = {Dynamic Ontology Co-Evolution from Texts: Principles and Case Study}, year = 2007 }