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Titlebook: Current Trends in Web Engineering; ICWE 2018 Internatio Cesare Pautasso,Fernando Sánchez-Figueroa,Juan Man Conference proceedings 2018 Spri

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書目名稱Current Trends in Web Engineering
副標(biāo)題ICWE 2018 Internatio
編輯Cesare Pautasso,Fernando Sánchez-Figueroa,Juan Man
視頻videohttp://file.papertrans.cn/242/241478/241478.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Current Trends in Web Engineering; ICWE 2018 Internatio Cesare Pautasso,Fernando Sánchez-Figueroa,Juan Man Conference proceedings 2018 Spri
描述.This book constitutes the refereed thoroughly refereed post-workshop proceedings of the 18.th. International Conference on Web Engineering, ICWE 2018, held in Cáceres, Spain, in June 2018. The 18 revised full papers were selected from 40 submissions. The workshops complement the main conference and explore new trends on core topics of Web engineering and provide an open discussion space combining solid theory work with practical on-the-field experience. The workshop committee accepted five workshops for publication in this volume: First International Workshop on Maturity of Web Engineering Practices (MATWEP 2018), Second International Workshop on Engineering theWeb of Things (EnWoT 2018), Fourth International Workshop on Knowledge Discovery on the Web (KDWEB 2018), International Workshop on Engineering Open Data (WEOD 2018), First International Workshop on Knowledge Graphs on Travel and Tourism (TourismKG 2018)..
出版日期Conference proceedings 2018
關(guān)鍵詞Resource Description Framework (RDF); accessibility; artificial intelligence; collaborative and social
版次1
doihttps://doi.org/10.1007/978-3-030-03056-8
isbn_softcover978-3-030-03055-1
isbn_ebook978-3-030-03056-8Series 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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Harald Dyckhoff,Heinz Ahn,Rainer Souren., focused to analyze contextualized data. The tool is described and a case study is presented based on a model manually composed from two Open Data APIs. The monitoring of the open data consumption reports highly valuable information to data owners, guaranteeing the return-on-investment.
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Applying Model-Driven Web Engineering to the Testing Phase of the ADAGIO Projecte is to offer researchers the possibility of integrating and consolidating heterogeneous data sources, showing a unified vision of them, allowing to simplify the search task in different repositories as well as the relationship between the sources found.
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SemQuire - Assessing the Data Quality of Linked Open Data Sources Based on DQVis based on open standards such as W3C’s RDF, SPARQL and DQV, and implements as a proof-of-concept a basic set of 55 recommended intrinsic, representational, contextual and accessibility quality metrics. We provide a use case for evaluating SemQuire’s feasibility and effectiveness.
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Model-Driven Analytics for Open Data APIs., focused to analyze contextualized data. The tool is described and a case study is presented based on a model manually composed from two Open Data APIs. The monitoring of the open data consumption reports highly valuable information to data owners, guaranteeing the return-on-investment.
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