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Titlebook: Knowledge Engineering and Knowledge Management; 21st International C Catherine Faron Zucker,Chiara Ghidini,Yannick Tous Conference proceedi

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发表于 2025-3-21 18:03:49 | 显示全部楼层 |阅读模式
书目名称Knowledge Engineering and Knowledge Management
副标题21st International C
编辑Catherine Faron Zucker,Chiara Ghidini,Yannick Tous
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Knowledge Engineering and Knowledge Management; 21st International C Catherine Faron Zucker,Chiara Ghidini,Yannick Tous Conference proceedi
描述This book constitutes the refereed proceedings of the 21th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2018, held in Nancy, France, in November 2018. The 36 full papers presented were carefully reviewed and selected from 104 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics. A special focus was on "Knowledge and AI", i.e. papers describing algorithms, tools, methodologies, and applications that exploit the interplay between knowledge and Artificial Intelligence techniques, with a special emphasis on knowledge discovery.
出版日期Conference proceedings 2018
关键词artificial intelligence; data mining; data security; data stream; databases; description logic; Human-Comp
版次1
doihttps://doi.org/10.1007/978-3-030-03667-6
isbn_softcover978-3-030-03666-9
isbn_ebook978-3-030-03667-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Fuzzy Semantic Labeling of Semi-structured Numerical DatasetsV files or HTML tables on the Web). We propose an approach to suggest . for the numerical columns of a collection of input files available as CSVs. Our approach is based on the application of the . clustering technique to numerical data in the input files, using existing SPARQL endpoints to generate
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A Framework for Explaining Query Answers in database storing facts about the domain, and a mapping between the data and the ontology. In this paper, we consider ontologies expressed in the popular . family of Description Logic, and we address the problem of computing explanations for answers to queries in an OBDA system, where queries are eit
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DLFoil: Class Expression Learning Revisitedtion of class expressions from groups of individual resources labeled by a domain expert. Stating the target task as a search problem, a .-like algorithm was devised based on the employment of refinement operators to traverse the version-space of candidate definitions for the target class. The algor
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Requirements Behaviour Analysis for Ontology Testing, there are several approaches which, integrated in the software development process, deal with software testing, such as unit testing or behaviour-driven development. However, in the ontology engineering field there is a lack of clearly defined testing processes that can be integrated into the onto
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Network Metrics for Assessing the Quality of Entity Resolution Between Multiple Datasetsches to this entity resolution problem. However, much less work has been done on how to . the quality of such entity links once they have been generated. Evaluation methods for link quality are typically limited to either comparison with a . (which is often not available), . (which is cumbersome and
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