Semantic Web Dog Food

Presented at: 20th International World Wide Web Conference (WWW2011)

by Huayu Wu, Hideaki Takeda, Masahiro Hamasaki, Tok Wang Ling, Liang Xu

In this paper, we propose an adaptive ontology-based approach for related paper identification, to meet most researchers' practical needs. By searching ontology, we can return a diverse set of papers that are explicitly and implicitly related to an input paper. Moreover, our approach does not rely on known ontology. Instead, we build and update ontology for a collection with any domain of interest. Being independent from known ontology, our approach is much more adaptive for different domains.

An Adaptive Ontology-Based Approach to Identify Correlation Between Publications was presented at this event.

Keywords: World Wide Web

Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2011/poster/an-adaptive-ontology-based-approach-to-identify-co

Explore this resource elsewhere:

• on Snorql
• on Sindice
• on dotAC Explorer