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LAWEB
2009
IEEE

An Architecture for Finding Entities on the Web

10 years 5 months ago
An Architecture for Finding Entities on the Web
Abstract—Recent progress in research fields such as Information Extraction and Information Retrieval enables the creation of systems providing better search experiences to web users. For example, systems that retrieve entities instead of just documents have been built. In this paper we present an approach for large-scale Entity Retrieval using web collections as underlying corpus. We propose an architecture for entity extraction and entity ranking starting from web documents. This is obtained (1) using an existing web document index and (2) creating an entity centric index. We describe advantages and feasibility of our approach using state-of-the-art tools. Keywords-entity retrieval; web search; natural language processing;
Gianluca Demartini, Claudiu S. Firan, Mihai George
Added 24 May 2010
Updated 24 May 2010
Type Conference
Year 2009
Where LAWEB
Authors Gianluca Demartini, Claudiu S. Firan, Mihai Georgescu, Tereza Iofciu, Ralf Krestel, Wolfgang Nejdl
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