Information Extraction Based Stanford Dependencies Using Relational Databases

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Provided by: International Journal for Development of Computer Science & Technology (IJDCST)
Topic: Big Data
Format: PDF
Commercial Relational DataBase Management Systems (RDBMSs) generally provide querying capabilities for text attributes that incorporate state-of-the-art Information Retrieval (IR) relevance ranking strategies, but this search functionality requires that queries specify the exact column or columns against which a given list of keywords is to be matched. The authors describe a novel approach for information extraction in which extraction needs are expressed in the form of database queries, which are evaluated and optimized by database systems.
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