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Obtaining Profiles Based on Localized Non-negative Matrix Factorization

Wuhan University Journal of Natural Sciences 2004年第5期9卷 580-584页

作者： JIANGJi-xiang XUBao-wen LUJian-jiang ZhouXiao-yu 不详 JiangsuInstituteofSoftwareQuality.Nanjing210096 JiangsuChina schoolofcommunicationsengineering.People＇s1.iberationArmyUniversityofScience＆Technology.Nanjing210007.Jiangsu.China

Nonnegative matrix factorization (NMF) is a method to get parts-based features of information and form the typical profiles. But the basis vectors NMF gets are not orthogonal so that parts-based features of information are usually redundancy. In this paper, we propose two different approaches based on localized non-negative matrix factorization (LNMF) to obtain the typical user session profiles and typical semantic profiles of junk mails. The LNMF get basis vectors as orthogonal as possible so that it can get accurate profiles. The experiments show that the approach based on LNMF can obtain better profiles than the approach based on NMF. Key words localized non-negative matrix factorization - profile - log mining - mail filtering CLC number TP 391 Foundation item: Supported by the National Natural Science Foundation of China (60373066, 60303024), National Grand Fundamental Research 973 Program of China (2002CB312000), National Research Foundation for the Doctoral Program of Higher Education of China (20020286004).Biography: Jiang Ji-xiang (1980-), male, Master candidate, research direction: data mining, knowledge representation on the Web.

关键词： localized non-negative matrix factorization profile log mining mail filtering

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Bridge Ontology: A Multi-Ontologies-Based Approach for Semantic Annotation

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Wuhan University Journal of Natural Sciences 2004年第5期9卷 617-622页

作者： WANGPeng XUBao-wen LUjian-jiang LiYan-hui JIANGJian-hua DepartmentofComputerSeienceandEngineering SoutheastUniversity.Nanjing210096JiangsuChina JiangsuInstituteofSoftwareQuality.Nanjing210096.Jiangsu China schoolofcommunicationsengineering People＇sI.iherationArmyUniversityofScienceandTechnology.Nanjing210007.Jiangsu.China

Representing the relationships between ontologies is the key problem of semantic annotations based on multi-ontologies. Traditional approaches only had the ability of denoting the simple concept subsumption relations between ontologies. Through analyzing and classifying the relationships between ontologies, the idea of bridge ontology was proposed, which had the powerful capability of expressing the complex relationships between concepts and relationships between relations in multi-ontologies. Meanwhile, a new approach employing bridge ontology was proposed to deal with the multi-ontologies-based semantic annotation problem. The bridge ontology is a peculiar ontology, which can be created and maintained conveniently, and is effective in the multi-ontologies-based semantic annotation. The approach using bridge ontology has the advantages of low-cost, scalable, robust in the web circumstance, and avoiding the unnecessary ontology extending and integration. Key words semantic web - bridge ontology - multi-ontologies - semantic annotation CLC number TP 391 Foundation item: Supported by the National Natural Science Foundation of China (60373066, 60303024). National Grand Fundamental Research 973 Program of China (2002CB312000), National Re-search Foundation for the Doctoral Program of Higher Education of China (20020286004)Biography: WANG Peng (1977-), male, Ph.D candidate, research direction: semantic web, ontology, and knowledge representation on the Web.

关键词： semantic web bridge ontology multi-ontologies semantic annotation

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Query Through Heterogeneous Ontologies Using Association Matrix

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Wuhan University Journal of Natural Sciences 2004年第5期9卷 575-579页

作者： KANGDa-zhou XUBao-wen LUJian-jiang WANGPeng LIYan-hui DepartmentotComputerScienceandEngineering SouthcastUniversity.Nanjing210096.JiangsuChina JianasuInstituteofSoftwarcQualily Nanjing210096Jiangsu-China schoolofcommunicationsengineering ThePeople＇sI.ibcra-fion：＼rmyUniversityofScienceandTechnologyNanjing210007.Jiangsu.China

This paper introduces the definition and calculation of the association matrix between ontologies. It uses the association matrix to describe the relations between concepts in different ontologies and uses concept vectors to represent queries; then computes the vectors with the association matrix in order to rewrite queries. This paper proposes a simple method of querying through heterogeneous Ontology using association matrix. This method is based on the correctness of approximate information filtering theory; and it is simple to be implemented and expected to run quite fast. Key words semantic Web - information retrieval - ontology - query - association matrix CLC number TP 391 Foundation item: Supported by the National Natural Science Foundation of China (60373066, 60303024), National Grand Fundamental Research 973 Program of China (2002CB312000) and National Research Foundation for the Doctoral Program of Higher Education of China (20020286004)Biography: KANG Da-zhou (1980-), male, Master candidate, research direction: Semantic Web, knowledge representation on the Web.

关键词： semantic Web information retrieval ontology query association matrix

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