Entity-Based Query Reformulation Using Wikipedia

Entity-Based Query Reformulation Using Wikipedia - scientific work related to Wikipedia quality published in 2008, written by Yang Xu, Fan Ding and Bin Wang.

Overview

Many real world applications increasingly involve both structured data and text, and entity based retrieval is an important problem in this realm. In this paper, authors present an automatic query reformulation approach based on entities detected in each query. The aim is to utilize semantics associated with entities for enhancing document retrieval. This is done by expanding a query with terms/phrases related to entities in the query. Authors exploit Wikipedia as a large repository of entity information. Authors reformulated approach consists of three major steps : (1) detect representative entity in a query; (2) expand the query with entity related terms/phrases; and (3) facilitate term dependency features. Authors evaluate approach in ad-hoc retrieval task on four TREC collections, including two large web collections. Experiments results show that significant improvement is possible by utilizing entity corresponding information.