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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

Research on agricultural ontology and Fusion Rules Based Knowledge Fusion Framework

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agricultural Science & Technology 2012年第12期13卷 2638-2641页

作者：谢能付中国农业科学院农业信息研究所/农业部智能化农业预警技术重点开放实验室/中国农业科学院智能化农业预警技术与系统重点开放实验室北京100081

Currently, knowledge-based sharing and service system has been a hot issue and knowledge fusion, especially for implicit knowledge discovery, becomes the core of knowledge processing and optimization in the system. In the research, a knowledge fusion framework based on agricultural ontology and fusion rules was pro- posed, including knowledge extraction, clearing and annotation modules based on a- gricultural ontology, fusion rule construction, choosing and evaluation modules based on agricultural ontology and knowledge fusion module for users＇ demands. Finally, the significance of the framework to system of agricultural knowledge services was proved with the help of a case.

关键词： agricultural ontology Knowledge fusion Fusion rule Inconsistency

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

Research on the Inconsistency Checking in agricultural Knowledge Base

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Research on the Inconsistency Checking in Agricultural Knowl...