New Frontiers in Artificial Intelligence JSAI-isAI 2014 Workshops, LENLS, JURISIN, and GABA, Kanagawa, Japan, October 27-28, 2014, Revised Selected Papers / edited by Tsuyoshi Murata, Koji Mineshima, Daisuke Bekki.

This book constitutes the thoroughly refereed post-conference proceedings of the JSAI-isAI 2014 Workshops LENLS, JURISIN, and GABA which tool place on November 2014, in Japan. The 26 contributions in this volume were carefully reviewed and selected from 57 submissions. From the 3 workshops (LENLS11,...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Murata, Tsuyoshi (Editor), Mineshima, Koji (Editor), Bekki, Daisuke (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Lecture Notes in Artificial Intelligence ; 9067
Springer eBook Collection.
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Summary:This book constitutes the thoroughly refereed post-conference proceedings of the JSAI-isAI 2014 Workshops LENLS, JURISIN, and GABA which tool place on November 2014, in Japan. The 26 contributions in this volume were carefully reviewed and selected from 57 submissions. From the 3 workshops (LENLS11, JURISIN2014, and GABA2014), 23 papers were carefully selected and revised according to the comments of the workshop program committee. LENLS (Logic and Engineering of Natural Language Semantics) is an annual international workshop on formal semantics and pragmatics and it focused on the formal and theoretical aspects of natural language. JURISIN (Juris-informatics) 2014 was the 8th event in the series, the purpose of this workshop was to discuss fundamental and practical issues for juris-informatics, bringing together experts from a variety of relevant backgrounds, including law, social science, information and intelligent technology, logic and philosophy (including the area of AI and law). GABA (Graph-based Algorithms for Big Data and its Applications) 2014 was the first workshop on graph structures including string, tree, bipartite- and di-graph for knowledge discovery in big data. The purpose of this workshop was to discuss ideas for realizing big data integration, including algorithms with theoretical / experimental results.
Physical Description:XIII, 357 p. 48 illus. online resource.
ISBN:9783662481196
DOI:10.1007/978-3-662-48119-6