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Entity Based Information Retrieval Technology
Received date: 2014-03-20
Revised date: 2014-04-06
Online published: 2014-04-20
The goal is to match the entities which are related to a given set of entities as wide as possible, to help users quickly find relevant information, especially the dynamically integrated semantic information associated with domain-specific. To this end, this paper analyzes the structure of entities and their relationships in a Web document, and proposes a development scheme of building an entity database with semantic properties using semantic classification scheme in Schema.org. Then, proposes an adaptive entity search framework based on the entity database, the framework can carry out analysis on the user's query intent, classify the queries into certain semantic types, and form a number of queries with covered entities separately. Finally, the framework "intelligently" selects and performs some queries with priority to match related entities which stored in the facts databases. The study, to some extent, achieved efficient retrieval through a "snowball" style to meet the needs of intelligent search technology, promoted research work on intelligence theoretical studies using entities, and provided a useful reference for application planning of intelligent information retrieval techniques.
Key words： entity search; intelligent search; semantic categorization
Gao Guangshang . Entity Based Information Retrieval Technology[J]. Library and Information Service, 2014 , 58(08) : 96 -104,35 . DOI: 10.13266/j.issn.0252-3116.2014.08.016
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