DocumentCode
2181703
Title
Toward large scale data-aware search: Ranking, indexing, resolution and beyond
Author
Cheng, Tao ; Chang, Kevin Chen-Chuan
Author_Institution
Comput. Sci. Dept., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2010
fDate
1-6 March 2010
Firstpage
297
Lastpage
300
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.
Keywords
Internet; data handling; indexing; search engines; World Wide Web; data-rich repository; indexing; large scale data-aware search; search engines; Computer science; Customer service; Indexing; Large-scale systems; Proposals; Scalability; Search engines; Search problems; Seminars;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering Workshops (ICDEW), 2010 IEEE 26th International Conference on
Conference_Location
Long Beach, CA
Print_ISBN
978-1-4244-6522-4
Electronic_ISBN
978-1-4244-6521-7
Type
conf
DOI
10.1109/ICDEW.2010.5452729
Filename
5452729
Link To Document