Read more
Thesetransactions publish research in computer-based methods of computationalcollective intelligence (CCI) and their applications in a wide range of fieldssuch as the semantic Web, social networks, and multi-agent systems. TCCIstrives to cover new methodological, theoretical and practical aspects of CCIunderstood as the form of intelligence that emerges from the collaboration andcompetition of many individuals (artificial and/or natural). The application ofmultiple computational intelligence technologies, such as fuzzy systems,evolutionary computation, neural systems, consensus theory, etc., aims tosupport human and other collective intelligence and to create new forms of CCIin natural and/or artificial systems. This twenty-first issue contains 7 carefullyselected and revised contributions.
List of contents
Keyword-basedSearch over Databases: A Roadmap for a Reference Architecture Paired with anEvaluation Framework.- Entity-basedKeyword Search in Web Documents.- Evaluationof Keyword Search in Affective Multimedia Databases.- Subject-relatedMessage Filtering in Social Media Through Context-enriched Language Models.- ImprovingOpen Information Extraction for Semantic Web Tasks.- Searching Web 2.0 Datathrough Entity-Based Aggregation.
Summary
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.