Semantic Web Dog Food

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

by Na Dai, Xiaoguang Qi, Brian D. Davison

Web entities, such as documents and hyperlinks, are created for different purposes, or intents. Existing intent-based retrieval methods largely focus on information seekers' intent expressed by queries, ignoring the other side of the problem: web content creators' intent. We argue that understanding why the content was created is also important. In this work, we propose to classify such intents into two broad categories: "navigational" and "informational". Then we incorporate such intents into traditional retrieval models, and show their effect on ranking performance.

Enhancing Web Search with Entity Intent was presented at this event.

Keywords: World Wide Web

Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2011/poster/enhancing-web-search-with-entity-intent

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