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检索条件"任意字段=4th International Conference on Knowledge Engineering and Semantic Web, KESW 2013"

共 196 条记录，以下是81-90 订阅

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An Improved Genetic Algorithm for Document Clustering with semantic Similarity Measure

An Improved Genetic Algorithm for Document Clustering with S...

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4th international conference on Natural Computation (ICNC 2008)

作者： Song, Wei Park, Soon Cheol Chonnam Natl Univ Div Elect & Informat Engn Jeonju 561756 South Korea

ISBN: (纸本)9780769533049

this paper proposes a self-organized genetic algorithm for document clustering based on semantic similarity measure. the traditional method to represent text is that the document is organized as a string of words, while the conceptual similarity is ignored We take advantage of thesaurus-based ontology to overcome this problem. To investigate how ontology method could be used effectively in document clustering, a hybrid strategy which combines the thesaurus-based semantic similarity measure and vector space model (VSM) measure to provide more accurate assessment of similarity between documents are implemented. Considering the influence between the diversity of the population and the selective pressure, an approach of dynamic evolution operators is put forward in this article. In our experiment two data sets of 200 and 600 documents from Reuter-21578 corpus are excerpted for test and the experiment results show that our method of genetic algorithm in conjunction with the hybrid semantic strategy, the combination of the thesaurus-based measure and VSM-based measure, outperforms that with the sole VSM measure. Our clustering algorithm also efficiently enhances the performance of precision and recall in comparison with k-means in the same similarity environments.

关键词： Genetic algorithms Clustering algorithms Ontologies Clustering methods Partitioning algorithms Genetic engineering Extraterrestrial measurements Testing Vocabulary web sites

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Optimization of association word knowledge base through genetic algorithm

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4th international conference on Data Warehousing and knowledge Discovery, DaWaK 2002

作者： Ko, Su-Jeong Lee, Jung-Hyun Department of Computer Science and Engineering Inha University Yong-hyen dong Namgu Inchon Korea Republic of

ISBN: (纸本)3540441239

Query expansion in knowledge based on information retrieval system requires knowledge base being considered semantic relations between words. Since Apriori algorithm extracts association word without taking user preference into account, recall is improved but accuracy is reduced. this paper shows how to establish optimized association word knowledge base with improved accuracy only including association word that users prefer among association words being considered semantic relations between words. Toward this end, web documents related to computer are classified into eight classes, and nouns are extracted from web document of each class. Association word is extracted from nouns through Apriori algorithm, and association word that users do not favor is excluded from knowledge base through genetic algorithm. © 2002 Springer-Verlag Berlin Heidelberg.

关键词： Genetic algorithms

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An ontology-based approach for semantic web service searching 1

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4th international conference on Human-Centric Computing, HumanCom'11 and the 6th international conference on Embedded and Multimedia Computing, EMC'11

作者： Shen, Shuijing Li, Bing Shao, Bo Li, Dingwei State Key Laboratory of Software Engineering Wuhan University 430072 Wuhan China School of Computer Science and Complex Network Research Center Wuhan University 430205 Wuhan China

ISBN: (数字)9789400721050

ISBN: (纸本)9789400721043

web service is released, combined and invoked through the web. With the continuous growth of web services, finding the web service to meet user requirement has become a challenging problem. the current web service discovery technology such as UDDI which provides keyword-based search is unable to fulfill the user's demand of semantic search. In view of that web services have some functional and non-functional information described by natural language, and the sparsity of user requirement description, we put forward a semantic web service discovery method depending on a concept network which is built on the domain ontology and local ontology in registration model. this method fully uses the registered users' knowledge of web service to build conceptual network and processes the user's search text to mine the true intentions, thus enabling more effective service discovery. © 2011 Springer Science+Business Media B.V.

关键词： Ontology

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Managing change history in web ontologies

Managing change history in web ontologies

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4th international conference on semantics, knowledge, and Grid, SKG 2008

作者： Khattak, Asad Masood Latif, Khalid Khan, Sharifullah Ahmed, Nabeel School of Electrical Engineering and Computer Science National University of Sciences and Technology Rawalpindi Pakistan

ISBN: (纸本)9780769534015

Ontologies changes in the sense of constantly growing in scientific discourse and being revised over time by different people. It refers to the fact that groups of professionals over time (e.g. in a longer term project) develop a common understanding based on joint interpretation of a shared terminology. the terminology will get structured and refined as the Communities of Practice concerned with a field of knowledge develop a deeper understanding of issues, thus moving from a loosely clustered terminology to a semi-format or even formal ontology. Keeping trail of these changes in semantically rich and formally sound mechanism, on one hand, has pragmatic advantages for providing the undo and redo facility and to recover to a previous state of ontology. On the other hand, it also contributes in understanding the change process and identifying the patterns of changes in the ontologies. this research aims at developing semantic structure for comprehensively storing ontology changes, and the application of the stored changes. For change history management in evolving ontologies, we have modeled an ontology for change history. © 2008 IEEE.

关键词： Ontology

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Self-sustaining platforms: A semantic workflow engine 4

Self-sustaining platforms: A semantic workflow engine

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4th international Workshop on Consuming Linked Data, COLD 2013 - Co-located with the 12th international semantic web conference, ISWC 2013

作者： Coppens, Sam Verborgh, Ruben Mannens, Erik Van De Walle, Rik Ghent University IMinds Multimedia Lab. Gaston Crommenlaan 8 bus 201 Ledeberg-GhentB-9050 Belgium

In this paper, we provide a novel semantic workflow system, based on semantic functional service descriptions and a rule file. the workflow engine follows a three-step process. First, it determines for all the resources in its knowledge base the functionality they need to progress in the workflow. this uses a phase-functionality rule file which binds phases of the workflow to functionalities. During a second phase, the functionalities are mapped to REST service calls using RESTdesc functional descriptions. During the third step, the engine executes the generated service calls and pushes the resource it acted on to the next phase in the workflow using a phase-transition rule file. the main advantage of this approach is that each step can be influenced by external information from the Linked Open Data cloud. It exploits the fact that Linked Open Data and RESTful web services and APIs are resource-oriented. Moreover, the workflow rule file makes the system easily adaptable and extensible to achieve new functionalities or to obey changing company policies. Finally, the separation between functional descriptions and service descriptions supports easy management over the fast-changing services at hand.

关键词： Engines

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Automatic construction of the knowledge base of an onomasiological dictionary 4

Automatic construction of the knowledge base of an onomasiol...

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4th international conference on Biomedical Ontology, ICBO 2013 Workshops on international Workshop on Vaccine and Drug Ontology Studies, VDOS 2013 and international Workshop on Definitions in Ontologies, DO 2013 - Part of the semantic Trilogy 2013

作者： Sierra, Gerardo Hernández, Laura Language Engineering Group Engineering Institute Universidad Nacional Autónoma de México Ciudad Universitaria México Mexico

For almost 14 years in the Language engineering Group we have worked on a wide variety of Natural Language Processing (NLP) problems, being one of the earliest in the creation and operation of onomasiological dictionaries. During that time we have focused on search engine dictionary improvement, but recently our aim has been a development methodology for creating specialized onomasiological dictionaries in a semi-automatic way. To automate the creation of onomasiological dictionaries necessarily implies the automatic execution of used processes to populate the dictionaries knowledge base. Due to the nature of these dictionaries, the definitions that must be included in the knowledge base are both normative and colloquial. In this paper we present a proposal for semi-automatically populating the knowledge base of these dictionaries.

关键词： Search engines

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Clustering citation distributions for semantic categorization and citation prediction 4

Clustering citation distributions for semantic categorizatio...

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4th Workshop on Linked Science: Making Sense Out of Data, LISC 2014, Collocated with the 13th international semantic web conference, ISWC 2014

作者： Osborne, Francesco Peroni, Silvio Motta, Enrico Knowledge Media Institute Open University Milton Keynes United Kingdom Department of Computer Science and Engineering University of Bologna Bologna Italy STLab CNR Institute of Cognitive Sciences and Technologies Rome Italy

In this paper we present i) an approach for clustering authors according to their citation distributions and ii) an ontology, the Bibliometric Data Ontology, for supporting the formal representation of such clusters. this method allows the formulation of queries which take in consideration the citation behaviour of an author and predicts with a good level of accuracy future citation behaviours. We evaluate our approach with respect to alternative solutions and discuss the predicting abilities of the identified clusters.

关键词： Data mining

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MatML: XML for information exchange with materials property data

MatML: XML for information exchange with materials property ...

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2007 ACM SIGKDD conference on knowledge Discovery in Data - 4th international Workshop on Data MiningStandards, Services and Platforms

作者： Varde, Aparna S. Begley, Edwin F. Fahrenholz-Mann, Sally Department of Computer Science Worcester MA United States Gaithersburg MD United States Electronic Publishing and Content Management ASM International Materials Park OH United States

ISBN: (纸本)159593443X

this paper describes the development and use of MatML, the Materials Markup Language. MatML is an emerging XML standard intended primarily for the exchange of materials property information. It provides a medium of communication for users in materials science and related fields such as manufacturing and aerospace. It sets the stage for the development of semantic web standards to enhance knowledge discovery in materials science and related areas. MatML has been used in applications such as the development of materials digital libraries and analysis of contaminant emissions data. Data mining applications of MatML include statistical process control and failure analysis. Challenges in promoting MatML involve satisfying a broad range of constituencies in the international engineering and materials science community and also adhering to other related standards in web data exchange. these issues are being addressed through the development of a good ontology, the automation of format conversions and possible schema extensions. MatML aims to be a lingua franca for data exchange in materials science and its broader horizons. Copyright 2006 ACM.

关键词： XML

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Detecting good practices and pitfalls when publishing vocabularies on the web 4

Detecting good practices and pitfalls when publishing vocabu...

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4th Workshop on Ontology and semantic web Patterns, WOP 2013 - Co-located with 12th international semantic web conference, ISWC 2013

作者： Poveda-Villalón, María Vatant, Bernard Suárez-Figueroa, Mari Carmen Gómez-Pérez, Asunción Ontology Engineering Group Universidad Politécnica de Madrid Madrid Spain Mondeca Paris France

the uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies bringing their semantic to the data being published. these ontologies should be evaluated at different stages, both during their development and their publication. As important as correctly modelling the intended part of the world to be captured in an ontology, is publishing, sharing and facilitating the (re)use of the obtained model. In this paper, 11 evaluation characteristics, with respect to publish, share and facilitate the reuse, are proposed. In particular, 6 good practices and 5 pitfalls are presented, together with their associated detection methods. In addition, a grid-based rating system is generated showing the results of analysing the vocabularies gathered in LOV repository. Both contributions, the set of evaluation characteristics and the grid system, could be useful for ontologists in order to reuse existing LD vocabularies or to check the one being built. Copyright © 2013 for the individual papers by the papers' authors.

关键词： Linked data

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An Ontology-Based Reuse Approach for Information Systems engineering

An Ontology-Based Reuse Approach for Information Systems Eng...

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4th international conference on Signal Image Technology and Internet Bases Systems

作者： Ramadour, Philippe Cauvet, Corine Univ Aix Marseille 3 LSIS Res Lab F-13397 Marseille 20 France

ISBN: (纸本)9780769534930

In the world-wide web context, availability of software components increases the possibility of applying a reuse approach in software development. thus, component retrieval is a key problem, both for software industry and for end-users, moreover for Open Source community which uses more and more components-based software engineering approaches. the OMG has defined a unified framework for reusable items (so-called "assets') descriptions. Even if this framework supports description of a large variety of components, it reduces retrieval aspects to keywords search without considering user's profile and user's need within the current task. We believe that the retrieval difficulty is related to the crucial problem of interaction between component providers and users (i.e. the consumers). this interaction can be supported and even automated by increasing the expressiveness of the language used for encoding component properties and formulating queries, enhancing therefore the quality of the retrieval. In this research, we propose to use common ontologies for representing user's profiles, user's needs and semantic knowledge of the components. these ontologies also support reasoning on components and matching of provided and required components. the approach makes use of business domain ontologies and ontology of the domain of information system engineering. the paper describes how these ontologies can be used both at design time for asset descriptions and user's profiles definition and at reuse time for matching user's requirements, user's profiles and asset descriptors.

关键词： Ontology

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