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Titlebook: Intelligent Information Processing IV; 5th IFIP Internation Zhongzhi Shi,E. Mercier-Laurent,D. Leake Conference proceedings 2008 IFIP Inter

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書目名稱Intelligent Information Processing IV
副標(biāo)題5th IFIP Internation
編輯Zhongzhi Shi,E. Mercier-Laurent,D. Leake
視頻videohttp://file.papertrans.cn/470/469708/469708.mp4
概述The papers in this volume were peer-reviewed and carefully selected.Much information in this series is published in advance of journal publication.The contributors in this volume are world-renowned ex
叢書名稱IFIP Advances in Information and Communication Technology
圖書封面Titlebook: Intelligent Information Processing IV; 5th IFIP Internation Zhongzhi Shi,E. Mercier-Laurent,D. Leake Conference proceedings 2008 IFIP Inter
描述Knowledge existing in modern information systems usually comes from many sources and is mapped in many ways. There is a real need for representing “knowledge pieces” as rather universal objects that should fit to multi-purpose a- ing systems. According to great number of information system’s tasks, knowledge representation is more or less detailed (e.g. some level of its granularity is - sumed). The main goal of this paper is to present chosen aspects of expressing granularity of knowledge implemented in intelligent systems. One of the main r- sons of granularity phenomena is diversification of knowledge sources, therefore the next section is devoted to this issue. 2. Heterogeneous Knowledge as a Source for Intelligent Systems Knowledge, the main element of so-called intelligent applications and systems, is very often heterogeneous. This heterogeneity concerns the origin of knowledge, its sources as well as its final forms of presentation. In this section the selected c- teria of knowledge differentiation will be presented, in the context of potential sources of knowledge acquisition. In Fig. 1 an environment of intelligent systems is shown, divided into different knowledge sources
出版日期Conference proceedings 2008
關(guān)鍵詞Beijing; Data Mining; IFIP TC12; IIP 2008; K-NN Algorithm; Virtual Organization; artificial intelligence; c
版次1
doihttps://doi.org/10.1007/978-0-387-87685-6
isbn_softcover978-1-4419-4686-7
isbn_ebook978-0-387-87685-6Series ISSN 1868-4238 Series E-ISSN 1868-422X
issn_series 1868-4238
copyrightIFIP International Federation for Information Processing 2008
The information of publication is updating

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A Context Model for Service Composition Based on Dynamic Description Logicntext utilizing ontology-based or attribute-based method to assist service composition. We propose a new context model by combining the context logic with the dynamic description logic (DDL), where user’ context, provider’s context and broker’s context are described by DDL separately and reasoned un
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Evaluation of Ontologies and DL Reasonersvendors systems. Sound reasoning support is highly important for sound semantic web ontologies which can only be possible if state-of-the-art Description Logic Reasoners were capable enough to identify inconsistency and classify taxonomy in ontologies. We have discussed existing ontological errors a
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ER2OWL: Generating OWL Ontology from ER Diagramystems and artifacts. Most legacy systems have been documented in structural analysis and structured design (SASD), especially in simple or Extended ER Diagram (ERD). Such systems need up-gradation to become the part of semantic web. In this paper, we present ERD to OWL-DL ontology transformation ru
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A Modified Clustering Method with Fuzzy Antscircuit design, and to text-mining, etc. A modified clustering method with fuzzy ants has been presented in this paper. Firstly, fuzzy ants and its behavior are defined; secondly, the new clustering algorithm has been constructed based on fuzzy ants. In this algorithm, we consider multiple ants base
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