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10.1109/IDEAS.2006.49guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

u38: A Framework for Database-Supported Enterprise Document-Retrieval

Published: 11 December 2006 Publication History

Abstract

In enterprises, information is encoded in documents and databases. Logically, the information in both worlds is tightly connected, however, on the system level there is usu- ally a large gap. In this paper, we propose a framework that improves document retrieval by exploiting available enter- prise databases. In particular, we use database information to model the context of documents and incorporate this con- text in our search framework. We present our framework architecture, its components and its major interfaces. The framework can be configured and enhanced at well-defined points and, hence, can easily be customized to other do- mains. We furthermore evaluate its core components. Our experiments show that the context-aware approach signifi- cantly improves the quality of search results.

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cover image Guide Proceedings
IDEAS '06: Proceedings of the 10th International Database Engineering and Applications Symposium
December 2006
322 pages
ISBN:0769525776

Publisher

IEEE Computer Society

United States

Publication History

Published: 11 December 2006

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  • (2010)Graph-based concept identification and disambiguation for enterprise searchProceedings of the 19th international conference on World wide web10.1145/1772690.1772709(171-180)Online publication date: 26-Apr-2010

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