Framework for Web Content Mining Using Semantic Search and Natural Language Queries

被引：0

作者：

Shaikh, A. J. ^{[1
]}

Kolhe, V. L. ^{[2
]}

机构：

[1] DY Patil Coll Engn, Dept Comp Engn, Comp 2, Pune, Maharashtra, India

[2] DY Patil Coll Engn, Dept Comp Engn, Pune, Maharashtra, India

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC) | 2013年

关键词：

Information Retrieval; search engine; SPARQL; OWL; ontology; NLP; Semantic Web; Web Mining;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Current keyword based search engines are not able to search semantics in web pages. In this paper we present framework for semantic based web content mining system using semantic ontology and SPARQL. A major challenge in the work involves building ontology database from natural language web pages. Second challenge is automated translation of natural language queries into more precise SPARQL queries. Proposed approach is tested on cricket websites and shows outstanding improvements over traditional keyword based search results.

引用

页码：280 / 284

页数：5