International Workshop on Emergent Semantics and Ontology Evolution Export

@inproceedings{citeulike:2999190, abstract = {The SemanticWeb and collaborative tagging are two complementary approaches aiming at making information search, retrieval, navigation and knowledge discovery easier. While the Semantic Web enforces semantics top-down via the use of ontologies, collaborative tagging tries to obtain semantics in a bottom-up fashion. Del.icio.us and flickr are success stories of collaborative tagging; the winners of the Semantic Web Challenge demonstrate the success of the Semantic Web. Still, both approaches face open issues. For the Semantic Web, ontology engineering, in particular, large-scale ontology construction, has been a bottleneck. While effort and progress have been made in ontology matching, alignment, versioning and learning, it has become clear that constructing large ontologies requires collaboration among multiple individuals or groups with expertise in specific areas. Also critical is the ontology evolution in the open, dynamic Web environment in order to keep pace with the Web dynamics. For collaborative tagging, tags (metadata) can be generated in large-scale and capture users collective wisdom. However, large-scale tagging usually degrades the performance of re-findability due to the ambiguity of uncontrolled vocabulary and the flat structure of tag soup. In such a case tagging alone is not helpful at all for solving the problem. Bundles, classification, relations or tagging of tags are some promising ways to enforce some kinds of structure for tags in order to enable scalability and findability. We believe that the mashup and synergy of the two paradigms is the key to create large-scale semantic and intelligent content. The vision is that we should and can (1) derive emergent semantics from community-based collaborative interaction as demonstrated by Web 2.0 applications, in particular, folksonomic tagging; (2) extract and formally model emergent semantics in structures, such as ontologies; (3) construct and evolve ontologies as emergent semantics from collaborative applications are of dynamic nature; and (4) enhance collaborative applications with formal ontological structures, and enable large scale semantic Web applications. Against this background, we organize this workshop, aiming to provide a forum for researchers and practitioners in the relevant fields of the Semantic Web, ontology engineering, folksonomy, social Web, artificial intelligence, machine learning, information integration and relevant application areas to discuss the current state of the art and open research problems in emergent semantics and ontology evolution. This proceeding contains nine research papers reporting the latest research activities and initial results in this interdisciplinary area, which, while some of them are still at the early stage, offer future research directions, inspirations and visions. We expect that, through the workshop, understanding on the emergent semantics and ontology evolution be deepened, collaborations between researchers and/or teams be formed, and more attention and effort be drawn to this emering research area. Last but not least we thank the PC members and additional reviewers for their useful comments on the submitted papers, all authors for inspiring papers, the audience for the interest in this workshop, the local organizers from the ISWC 2007, and the Workshop Chair.}, author = {Chen, Luke L. and Cudr\'{e}-Mauroux, Philippe and Haase, Peter and Hotho, Andreas and Ong, Ernie}, booktitle = {The 6th International Semantic Web Conference and the 2nd Asian Semantic Web Conference}, citeulike-article-id = {2999190}, citeulike-linkout-0 = {http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-292/ESOE2007.pdf}, keywords = {folksonomy, ontology, semanticweb}, month = {November}, posted-at = {2008-07-14 17:28:41}, priority = {2}, title = {International Workshop on Emergent Semantics and Ontology Evolution}, url = {http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-292/ESOE2007.pdf}, year = {2007} }

TY - CONF ID - citeulike:2999190 L3 - citeulike-article-id:2999190 N2 - The SemanticWeb and collaborative tagging are two complementary approaches aiming at making information search, retrieval, navigation and knowledge discovery easier. While the Semantic Web enforces semantics top-down via the use of ontologies, collaborative tagging tries to obtain semantics in a bottom-up fashion. Del.icio.us and flickr are success stories of collaborative tagging; the winners of the Semantic Web Challenge demonstrate the success of the Semantic Web. Still, both approaches face open issues. For the Semantic Web, ontology engineering, in particular, large-scale ontology construction, has been a bottleneck. While effort and progress have been made in ontology matching, alignment, versioning and learning, it has become clear that constructing large ontologies requires collaboration among multiple individuals or groups with expertise in specific areas. Also critical is the ontology evolution in the open, dynamic Web environment in order to keep pace with the Web dynamics. For collaborative tagging, tags (metadata) can be generated in large-scale and capture users collective wisdom. However, large-scale tagging usually degrades the performance of re-findability due to the ambiguity of uncontrolled vocabulary and the flat structure of tag soup. In such a case tagging alone is not helpful at all for solving the problem. Bundles, classification, relations or tagging of tags are some promising ways to enforce some kinds of structure for tags in order to enable scalability and findability. We believe that the mashup and synergy of the two paradigms is the key to create large-scale semantic and intelligent content. The vision is that we should and can (1) derive emergent semantics from community-based collaborative interaction as demonstrated by Web 2.0 applications, in particular, folksonomic tagging; (2) extract and formally model emergent semantics in structures, such as ontologies; (3) construct and evolve ontologies as emergent semantics from collaborative applications are of dynamic nature; and (4) enhance collaborative applications with formal ontological structures, and enable large scale semantic Web applications. Against this background, we organize this workshop, aiming to provide a forum for researchers and practitioners in the relevant fields of the Semantic Web, ontology engineering, folksonomy, social Web, artificial intelligence, machine learning, information integration and relevant application areas to discuss the current state of the art and open research problems in emergent semantics and ontology evolution. This proceeding contains nine research papers reporting the latest research activities and initial results in this interdisciplinary area, which, while some of them are still at the early stage, offer future research directions, inspirations and visions. We expect that, through the workshop, understanding on the emergent semantics and ontology evolution be deepened, collaborations between researchers and/or teams be formed, and more attention and effort be drawn to this emering research area. Last but not least we thank the PC members and additional reviewers for their useful comments on the submitted papers, all authors for inspiring papers, the audience for the interest in this workshop, the local organizers from the ISWC 2007, and the Workshop Chair. TI - International Workshop on Emergent Semantics and Ontology Evolution T2 - The 6th International Semantic Web Conference and the 2nd Asian Semantic Web Conference KW - folksonomy KW - ontology KW - semanticweb AU - Chen, Luke AU - Cudré-Mauroux, Philippe AU - Haase, Peter AU - Hotho, Andreas AU - Ong, Ernie PY - 2007/11/12/ UR - http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-292/ESOE2007.pdf ER -