NDLI: A framework of ontological semantic knowledge tree for vertical search engine

Content Provider	IEEE Xplore Digital Library
Author	Peng Lu Lin Chen Yibo Gao Yiping Yang
Copyright Year	2010
Description	Author affiliation: Dept. of Integration Information System and Research Center, Institute of Automation Chinese Academy of Sciences, Beijing, China (Peng Lu; Lin Chen; Yibo Gao; Yiping Yang)
Abstract	Search engine is becoming more and more important in our life. Traditional search technologies, however, cannot provide the required information for the users. Future search engine must be intelligent and semantic. We develop a vertical search engine based on ontological semantic knowledge tree model. In this model, concept is regarded as the basic knowledge representation unit. And attribute, relation and behavior describe concept. On the basis of characteristics of Chinese, concept is divided into primitive concept, semantic binding concept, semantic state concept and semantic logical concept. Then these concepts are organized by tree hierarchical structure to describe a specific domain. And this model has been proved successfully to many domains such knowledge reasoning of agriculture and knowledge service of automobile etc. Subsequently, the architecture of search engine are described, especially, semantic classification has been proved practical. Finally, because this tree is expansible, vertical search engine can be built on any domain.
Starting Page	3682
Ending Page	3686
File Size	283945
Page Count	5
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5583740
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Industries Vertical Search Engine Ontology Semantics Natural languages Search engines Ontologies Semantic Knowledge Tree Indexing
Content Type	Text
Resource Type	Article

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