Overview
Part of the book series: Communications in Computer and Information Science (CCIS, volume 588)
Included in the following conference series:
Conference proceedings info: RUMOUR 2015.
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Table of contents (10 papers)
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Front Matter
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Ontological Modeling of Social Media Data
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Front Matter
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Application of Social Media and Linked Data Methodologies in Real-Life Scenarios
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Front Matter
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User Profiling and Assessing the Suitability of Content from Social Media
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Front Matter
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Extracting and Linking Content
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Front Matter
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Sentiment Analysis in Social Media and Linked Data
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Front Matter
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Social Data Mining to Create Structured Social Media Resources
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Front Matter
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Back Matter
Other volumes
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Linguistic Linked Open Data
Keywords
- annotation interoperability
- data mining
- information extraction
- information integration
- information retrieval
- knowledge management
- linguistics
- linked data
- Linked Open Data (LOD)
- Natural Language Processing (NLP)
- ontologies
- ontology engineering
- reference corpus
- semantic web
- sentiment analysis
- social computing
- social media
- social networks
- taxonomies
- text analysis
About this book
This book constitutes the refereed proceedings of the 12th EUROLAN Summer School on Linguistic Linked Open Data and its Satellite Workshop on Social Media and the Web of Linked Data, RUMOUR 2015, held in Sibiu, Romania, in July 2015.
The 10 revised full papers presented together with 12 abstracts of tutorials were carefully reviewed and selected from 21 submissions.
Editors and Affiliations
Bibliographic Information
Book Title: Linguistic Linked Open Data
Book Subtitle: 12th EUROLAN 2015 Summer School and RUMOUR 2015 Workshop, Sibiu, Romania, July 13-25, 2015, Revised Selected Papers
Editors: Diana Trandabăţ, Daniela Gîfu
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-3-319-32942-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-32941-3Published: 10 April 2016
eBook ISBN: 978-3-319-32942-0Published: 09 April 2016
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: XLII, 155
Number of Illustrations: 48 b/w illustrations
Topics: Information Storage and Retrieval, Natural Language Processing (NLP), Artificial Intelligence, Data Mining and Knowledge Discovery, Database Management