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agricultural ontology Based Feature Optimization for agricultural Text Clustering

Journal of Integrative Agriculture 2012年第5期11卷 752-759页

作者： SU Ya-ru WANG Ru-jing CHEN Peng WEI Yuan-yuan LI Chuan-xi HU Yi-min Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 P.R.China School of Information Science and Technology University of Science and Technology of China Hefei 230026 P.R.China

Feature optimization is important to agricultural text mining. Usually, the vector space model is used to represent text documents. However, this basic approach still suffers from two drawbacks： thecurse of dimension and the lack of semantic information. In this paper, a novel ontology-based feature optimization method for agricultural text was proposed. First, terms of vector space model were mapped into concepts of agricultural ontology, which concept frequency weights are computed statistically by term frequency weights; second, weights of concept similarity were assigned to the concept features according to the structure of the agricultural ontology. By combining feature frequency weights and feature similarity weights based on the agricultural ontology, the dimensionality of feature space can be reduced drastically. Moreover, the semantic information can be incorporated into this method. The results showed that this method yields a significant improvement on agricultural text clustering by the feature optimization.

关键词： agricultural ontology feature optimization agricultural text clustering

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Structured AJAX Data Extraction Based on agricultural ontology

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Journal of Integrative Agriculture 2012年第5期11卷 784-791页

作者： LI Chuan-xi SU Ya-ru WANG Ru-jing WEI Yuan-yuan HUANG He Institute oflntelligent Machines Chinese Academy of Sciences Hefei 230031 P.R.China School of Information Science and Technology University of Science and Technology of China Hefei 230026 P.R.China

More web pages are widely applying AJAX （Asynchronous JavaScript XML） due to the rich interactivity and incremental communication. By observing, it is found that the AJAX contents, which could not be seen by traditional crawler, are well-structured and belong to one specific domain generally. Extracting the structured data from AJAX contents and annotating its semantic are very significant for further applications. In this paper, a structured AJAX data extraction method for agricultural domain based on agricultural ontology was proposed. Firstly, Crawljax, an open AJAX crawling tool, was overridden to explore and retrieve the AJAX contents; secondly, the retrieved contents were partitioned into items and then classified by combining with agricultural ontology. HTML tags and punctuations were used to segment the retrieved contents into entity items. Finally, the entity items were clustered and the semantic annotation was assigned to clustering results according to agricultural ontology. By experimental evaluation, the proposed approach was proved effectively in resource exploring, entity extraction, and semantic annotation.

关键词： information extraction structured data AJAX agricultural ontology semantic annotation

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维普期刊数据库

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A Review and Prospects on Collaborative ontology Editing Tools

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Journal of Integrative Agriculture 2012年第5期11卷 731-740页

作者： XIAN Guo-jian ZHAO Rui-xue agricultural Information Institution Chinese Academy of Agricultural SciencesBeijing 10008lPR.China

Building ontology is a fundamental but also hard work. Collaborative ontology editing tools can make ontology development more efficiently. In this paper, the important features of collaborative ontology development were analyzed, and several tools such as AGROVOC Concept Server Workbench （ACSW）, Collaborative Prot6g6 and WebProt6g6 were studied. Besides, some comparisons among them from several aspects were made and some prospects for the further improvement of these tools were given. Finally, we show it is a good way to build agricultural ontology with these tools collaboratively and simultaneously.

关键词： collaborative ontology editing agricultural ontology ACSW Collaborative Prot6g6 WebProt6g6

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Research on the Inconsistency Checking in agricultural Knowledge Base 6th

Research on the Inconsistency Checking in Agricultural Knowl...

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Computer and Computing Technologies in Agriculture VI——6th IFIP WG 5.14 International Conference(CCTA2012) Part I

作者： Nengfu Xie agricultural Information Institute The Chinese Academy of Agricultural Sciences Key Laboratory of Digital agricultural Early-Warning Technology Ministry of Agriculture

The paper will propose a method to check the knowledge inconsistency in the agricultural knowledge Base,which is one the main measures to evaluate the agricultural knowledge baseThis paper will pay at

ISBN: (纸本)9783642361234

关键词： agricultural ontology Inconsistency agricultural knowledge Knowledge Bases Epistemology Inconsistency Checking

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