Supporting entity search: a large-scale prototype search engine

ABSTRACT

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 WISDM 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.

REFERENCES

• 1: Lemur toolkit for language modeling and information retrieval. http://www-2.cs.cmu.edu/~lemur.
• 2: Unstructured information management architecture. http://www.research.ibm.com/UIMA.
• 3: T. Cheng and K. C. C. Chang. Entity search engine: Towards agile best-effort information integration over the web. In CIDR, pages 108--113, 2007.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.5 On-line Information Services

General Terms:
Design, Experimentation, Measurement, Performance

Keywords:
association mining, entity search, large-scale, web search