An Ontology-Based Extraction Framework for a Semantic Web Application

Author:

Peter Hadrian1,Greenidge Charles1

Affiliation:

1. University of the West Indies, Barbados

Abstract

The Semantic Web vision is rapidly becoming a mainstream reality, but obstacles remain in the way. A major challenge is the adoption of practical Semantic Web applications and the production of vast stores of ubiquitous meta-data which is needed to allow robust inference engines to attain the goals of machine readability of web documents. The authors propose the Semantic Web Applications (SEMWAP) framework which facilitates semi-automatic matching of instance data from opaque web databases using lightweight ontology terms. This framework combines information retrieval, information extraction, natural language processing, and ontology techniques to produce a matching and thus provides a viable building block for Semantic Web applications. To experimentally investigate the characteristics and limitations of the SEMWAP framework, a prototype system called the Semantic Ontological Data Labeler (SODL) was constructed.

Publisher

IGI Global

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Integrating Ontologies and Bayesian Networks in Big Data Analysis;Encyclopedia of Business Analytics and Optimization;2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3