Supporting entity search: a large-scale prototype search engine

As the Web has evolved into a data-rich repository, with the standard "page view," current search engines are increasingly inadequate. While we often search for various data "entities" (e.g. phone number, paper PDF, date), today's engines only take us indirectly to pages. Therefore, we propose the concept of entity search, a significant departure from traditional document retrieval. Towards our goal of supporting entity search, in the WISDM1 project at UIUC we build and evaluate our prototype search engine over a 2TB Web corpus. Our demonstration shows the feasibility and promise of a large-scale system architecture to support entity search. Categories and Subject Descriptors H.3.3 [INFORMATION STORAGE AND RETRIEVAL]: Information Search and Retrieval; H.3.5 [INFORMATION STORAGE AND RETRIEVAL]: Online Information Services General Terms Design, Experimentation, Measurement, Performance Keywords Entity search, Web search, large-scale, association mining

• Type: Conference
• Year: 2007
• Where: SIGMOD
• Authors: Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang
• Keywords: Database, Entity Search, Keywords Entity Search, SIGMOD 2007, STORAGE AND RETRIEVAL