Linguistic linked open data [electronic resource] : 12th EUROLAN 2015 Summer School and RUMOUR 2015 Workshop, Sibiu, Romania, July 13-25, 2015, Revised selected papers / Diana Trandabăţ, Daniela Gûfu (eds.).
2016
TK5105.88815
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Title
Linguistic linked open data [electronic resource] : 12th EUROLAN 2015 Summer School and RUMOUR 2015 Workshop, Sibiu, Romania, July 13-25, 2015, Revised selected papers / Diana Trandabăţ, Daniela Gûfu (eds.).
Meeting Name
EUROLAN Summer School (12th : 2015 : Sibiu, Romania)
ISBN
9783319329420 (electronic book)
3319329421 (electronic book)
9783319329413
3319329421 (electronic book)
9783319329413
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xlii, 155 pages) : illustrations.
Other Standard Identifiers
10.1007/978-3-319-32942-0 doi
Call Number
TK5105.88815
Dewey Decimal Classification
025.042/7
Summary
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. .
Bibliography, etc. Note
Includes bibliographical references and author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 13, 2016).
Added Author
Trandabăț, Diana, editor.
Gûfu, Daniela, editor.
Gûfu, Daniela, editor.
Added Meeting Name
RUMOUR (Workshop) (2015 : Sibiu, Romania), jointly held conference.
Series
Communications in computer and information science ; 588.
Available in Other Form
Print version: 9783319329413
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Table of Contents
Ontological modeling of social media data
Application of social media and linked data methodologies in real-life scenarios
User proling and assessing the suitability of content from social media
Extracting and linking content
Sentiment analysis in social media and linked data.-Social data mining to create structured social media resources.
Application of social media and linked data methodologies in real-life scenarios
User proling and assessing the suitability of content from social media
Extracting and linking content
Sentiment analysis in social media and linked data.-Social data mining to create structured social media resources.