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 :
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