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Titlebook: Databases and Information Systems; 12th International B Guntis Arnicans,Vineta Arnicane,Laila Niedrite Conference proceedings 2016 Springer

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书目名称Databases and Information Systems
副标题12th International B
编辑Guntis Arnicans,Vineta Arnicane,Laila Niedrite
视频video
概述Includes supplementary material:
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Databases and Information Systems; 12th International B Guntis Arnicans,Vineta Arnicane,Laila Niedrite Conference proceedings 2016 Springer
描述.This book constitutes the refereed proceedings of the 12th International Baltic Conference on Databases and Information Systems, DB&IS 2016, held in Riga, Latvia, in July 2016.. .The 25 revised full papers presented were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections on ontology, conceptual modeling and databases; tools, technologies and languages for model-driven development; decision support systems and data mining; advanced systems and technologies; business process modeling and performance measurement; software testing and quality assurance; linguistic components of IS; information technology in teaching and learning..
出版日期Conference proceedings 2016
关键词algorithms; artificial intelligence; Business Process Modeling (BPM); computational linguistics; databas
版次1
doihttps://doi.org/10.1007/978-3-319-40180-5
isbn_softcover978-3-319-40179-9
isbn_ebook978-3-319-40180-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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G. C. Bricault,P. Isbell,J. L. Carrthe ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, the users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readab
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G. C. Bricault,P. Isbell,J. L. Carrproblem lies in complexity of means used to query data. We propose a new natural language- and . ontology-based ad-hoc querying approach which lowers the steep learning curve required to be able to query data. The proposed approach would significantly shorten the time needed to master the ad-hoc que
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