Toward large scale data-aware search: Ranking, indexing, resolution and beyond

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As the Web has evolved into a data-rich repository, with the standard "page view," current search engines are becoming increasingly inadequate. To realize data-aware search, toward searching for data entities on the Web, we have been developing the various aspects of an entity search system, including: entity ranking, entity indexing and parallelization, entity resolution, as well as generalization and customization. Preliminary results show the promise of our proposals, achieving high accuracy, efficiency and scalability. We will also summarize our contributions and point out interesting future directions along the line of enabling data-aware search on the Web.

Original languageEnglish (US)
Title of host publicationICDE Workshops 2010 - The 2010 IEEE 26th International Conference on Data Engineering Workshops
Pages297-300
Number of pages4
DOIs
StatePublished - May 28 2010
Event2010 IEEE 26th International Conference on Data Engineering Workshops, ICDEW 2010 - Long Beach, CA, United States
Duration: Mar 1 2010Mar 6 2010

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other2010 IEEE 26th International Conference on Data Engineering Workshops, ICDEW 2010
CountryUnited States
CityLong Beach, CA
Period3/1/103/6/10

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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