%0 Journal Article %1 mika2005ontology %A Mika, Peter %D 2005 %J The Semantic Web – ISWC 2005 %K master_thesis ontology ontology_learning %P 522--536 %T Ontologies Are Us: A Unified Model of Social Networks and Semantics %U http://dx.doi.org/10.1007/11574620_38 %X In our work we extend the traditional bipartite model of ontologies with the social dimension, leading to a tripartite model of actors, concepts and instances. We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation. We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies from Web pages. ER -

@article{mika2005ontology, abstract = {In our work we extend the traditional bipartite model of ontologies with the social dimension, leading to a tripartite model of actors, concepts and instances. We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation. We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies from Web pages. ER -}, added-at = {2009-01-13T09:58:53.000+0100}, author = {Mika, Peter}, biburl = {https://www.bibsonomy.org/bibtex/212bba91c38e6cdbec4e8a9372d1f3891/steff83}, interhash = {5ea12110b5bb0e3a8ad09aeb16a70cdb}, intrahash = {12bba91c38e6cdbec4e8a9372d1f3891}, journal = {The Semantic Web – ISWC 2005}, keywords = {master_thesis ontology ontology_learning}, pages = {522--536}, timestamp = {2009-01-13T09:58:53.000+0100}, title = {Ontologies Are Us: A Unified Model of Social Networks and Semantics}, url = {http://dx.doi.org/10.1007/11574620_38}, year = 2005 }