Overview
- Aims at developing a set of common benchmarks, established evaluation procedures, tasks and datasets in the field of semantic web
- Contains detailed record of the one of the most important international scientific events for the semantic web research community
- Presents a snapshot of the state-of-the-art and material for replication of results
- Includes supplementary material: sn.pub/extras
Part of the book series: Communications in Computer and Information Science (CCIS, volume 769)
Included in the following conference series:
Conference proceedings info: SemWebEval 2017.
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About this book
This book includes the descriptions of all methods and tools that competed at SemWebEval 2017, together with a detailed description of the tasks, evaluation procedures and datasets. The 11 revised full papers presented in this volume were carefully reviewed and selected from 21 submissions. The contributions are grouped in the areas: the mighty storage challenge; open knowledge extraction challenge; question answering over linked data challenge; semantic sentiment analysis.
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Keywords
- artificial intelligence
- benchmarks
- computational linguistics
- information retrieval
- knowledge extraction
- knowledge management
- linked data
- machine learning
- Natural Language Processing (NLP)
- question answering
- Resource Description Framework (RDF)
- semantic web
- semantics
- sentiment analysis
- Social Networks (SN)
- SPARQL
- World Wide Web
Table of contents (15 papers)
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The Mighty Storage Challenge
-
Open Knowledge Extraction Challenge
-
Question Answering over Linked Data Challenge
-
Semantic Sentiment Analysis
Other volumes
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Semantic Web Challenges
Editors and Affiliations
Bibliographic Information
Book Title: Semantic Web Challenges
Book Subtitle: 4th SemWebEval Challenge at ESWC 2017, Portoroz, Slovenia, May 28 - June 1, 2017, Revised Selected Papers
Editors: Mauro Dragoni, Monika Solanki, Eva Blomqvist
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-319-69146-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-69145-9Published: 31 October 2017
eBook ISBN: 978-3-319-69146-6Published: 30 October 2017
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XII, 177
Number of Illustrations: 58 b/w illustrations
Topics: Information Storage and Retrieval, Artificial Intelligence, Natural Language Processing (NLP), Natural Language Processing (NLP), Information Systems Applications (incl. Internet), Data Mining and Knowledge Discovery