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Titlebook: Knowledge Engineering and Knowledge Management; EKAW 2016 Satellite Paolo Ciancarini,Francesco Poggi,Valentina Presutt Conference proceedi

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書目名稱Knowledge Engineering and Knowledge Management
副標(biāo)題EKAW 2016 Satellite
編輯Paolo Ciancarini,Francesco Poggi,Valentina Presutt
視頻videohttp://file.papertrans.cn/544/543901/543901.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Knowledge Engineering and Knowledge Management; EKAW 2016 Satellite  Paolo Ciancarini,Francesco Poggi,Valentina Presutt Conference proceedi
描述This book contains the best selected papers of two Satellite Events held at the 20th?International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, in November 2016 in Bologna, Italy: The Second International Workshop on Educational Knowledge Management, EKM 2016, and the First Workshop: Detection, Representation and Management of Concept Drift in Linked Open Data, Drift-an-LOD 2016.?.The 6 revised full papers included in this volume were carefully reviewed and selected from the 13 full papers that were accepted for presentation at the conference from the initial 82 submissions. ?This volume also contains the 37 accepted contributions for the EKAW 2016 tutorials, demo and poster sessions, and the doctoral consortium.?The special focus of this year‘s EKAW was "evolving knowledge", which concerns?all aspects of the management and acquisition of knowledge representations?of evolving, contextual, and local models. This includes change management, trend detection, model evolution, streaming data and stream reasoning, event?processing, time-and space dependent models, contextual and local knowledge?representations with a?special emphasis on the evolvability and lo
出版日期Conference proceedings 2017
關(guān)鍵詞automated reasoning; data mining; internet of things; machine learning; ontologies; applied computing; bus
版次1
doihttps://doi.org/10.1007/978-3-319-58694-6
isbn_softcover978-3-319-58693-9
isbn_ebook978-3-319-58694-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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978-3-319-58693-9Springer International Publishing AG 2017
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Selecting and Tailoring Ontologies with JOYCE effective and efficient reuse of formalized domain knowledge. . includes a conceptual filter to identify relevant classes, minimizes unintended redundancies, i.e. concept duplicates, and excludes knowledge considered irrelevant for the specific conceptual design task.
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Representing Contextual Information as Fluentsepresent temporal information about a statement, a general annotation framework which allows representing more contextual information is needed. In this paper, we extend the 4dFluents ontology by Welty and Fikes to any dimension of context.
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https://doi.org/10.1007/978-3-319-58694-6automated reasoning; data mining; internet of things; machine learning; ontologies; applied computing; bus
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