Question Answering on the Semantic Web 来自 IEEEXplore 喜欢 0 阅读量: 44 作者: D Mcguinness 摘要: Question answering on the Web is moving beyond the stage where users simply type a query and retrieve a ranked ordering of appropriate Web pages. Users and analysts want targeted answers to ...
【1】Pythia: Compositional meaning construction for ontology-based question answering on the Semantic Web
Here we introduce some tools that will play a role in the development of fuzzy set based question-answering systems, We discuss idea of knowledge trees which aid in the organization of our knowledge to answer question. We also discuss the use of protoforms as aid in reasoning with these ...
Semantic Web technologies bring new benefits to knowledge-based question answering system. Especially, ontology is becoming the pivotal methodology to represent domain-specific conceptual knowledge in order to promote the semantic capability of a QA system. In this paper we present a QA system in whic...
Question Answering on the Semantic Web Question answering on the Web is moving beyond the stage where users simply type a query and retrieve a ranked ordering of appropriate Web pages. Users and... D Mcguinness - 《Intelligent Systems IEEE》 被引量: 204发表: 2004年 Question Answering Using En...
Automated Question Answering Using Semantic Web Services Question answering(QA) can vastly improve the quality and effectiveness of knowledge acquisition on the Web. Web search provides a list of documents target... M Jang,JC Sohn,HK Cho - IEEE Asia-pacific Service Computing Conferenc...
An Analysis of the AskMSR Question-Answering System We describe the architecture of a question answering system and systematically evaluate contributions of different system components to accuracy. The system differs from most question answering systems in its dependency on data redundanc... E Brill,S...
Web based automated question answering is an emerging paradigm of Natural Language Processing and Information Extraction. Yet, question answering systems are incapable of challenging the human question answering ability, though they are driven by tremendous amounts of information on the web. This study ...
This paper introduces a kind of semantic computation and presents how tocombine it into our Chinese Question-Answering (QA) system. Based on two kinds of languageresources, Hownet and Cilin, we present an approach to computing the similarity and relevancybetween words. Using these results, we ca...
In this paper, we describe a discriminative learning approach for question answering. Our training corpus consists of 2 million Frequently Asked Questions (FAQs) and their corresponding answers that we mined from the World Wide Web. This corpus is used to train the lexical and semantic association...