Transactions on Computational Collective Intelligence XXI: Special Issue on Keyword Search and Big Data

Transactions on Computational Collective Intelligence XXI: Special Issue on Keyword Search and Big Data

ISBN-10:
3662495201
ISBN-13:
9783662495209
Pub. Date:
04/11/2016
Publisher:
Springer Berlin Heidelberg
ISBN-10:
3662495201
ISBN-13:
9783662495209
Pub. Date:
04/11/2016
Publisher:
Springer Berlin Heidelberg
Transactions on Computational Collective Intelligence XXI: Special Issue on Keyword Search and Big Data

Transactions on Computational Collective Intelligence XXI: Special Issue on Keyword Search and Big Data

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Overview

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-first issue contains 7 carefully selected and revised contributions.


Product Details

ISBN-13: 9783662495209
Publisher: Springer Berlin Heidelberg
Publication date: 04/11/2016
Series: Lecture Notes in Computer Science , #9630
Edition description: 1st ed. 2016
Pages: 175
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Keyword-based Search over Databases: A Roadmap for a Reference Architecture Paired with an Evaluation Framework.- Entity-based Keyword Search in Web Documents.- Evaluation of Keyword Search in Affective Multimedia Databases.- Subject-related Message Filtering in Social Media Through Context-enriched Language Models.- Improving Open Information Extraction for Semantic Web Tasks.- Searching Web 2.0 Data through Entity-Based Aggregation.

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