Using BM25F for Semantic Search
published: May 17, 2010, recorded: April 2010, views: 512
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Information Retrieval (IR) approaches for semantic web search engines have become very popular in the last years. Popularization of different IR libraries, like Lucene, that allows IR implementations almost out-of-the-box have make easier IR integration in Semantic Web search engines. However, one of the most important features of Semantic Web documents is the structure, since this structure allow us to represent semantic in a machine readable format. In this paper we analyze the specific problems of structured IR and how to adapt weighting schemas for semantic document retrieval.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !