Authors:
Gonzalo A. Aranda-Corral
1
;
Joaquín Borrego-Díaz
2
and
Jesús Giráldez-Cru
3
Affiliations:
1
Universidad de Huelva, Spain
;
2
Universidad de Sevilla, Spain
;
3
Artificial Intelligence Research Institute (IIIA-CSIC), Spain
Keyword(s):
Mobile web 2.0, Formal concept analysis, Concept lattices, Tagging, Knowledge extraction.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Collective Intelligence
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Expert Systems
;
Health Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation and Reasoning
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
Symbolic Systems
Abstract:
Increasingly, users connect to the Internet by mobile devices and they are generating massive content through them. The lead-off projects in Mobile Web 2.0 offer the opportunity to add semantics in order to obtain structured knowledge. In this paper, we present specific challenges for tagging reasoning, into the SinNet project. SinNet is based on user generated content (UGC) by mobile devices, as well as how to solve them by means of combining multi-agent systems and formal concepts analysis.