Authors:
Pierfrancesco Bellini
;
Daniele Cenni
and
Paolo Nesi
Affiliation:
University of Florence, Italy
Keyword(s):
Cross Media Content, Indexing, Searching, Search Engines, Information Retrieval, Cultural Heritage, Stochastic Optimization, Test Collections, Social Networks.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Operational Research
;
Optimization
;
Structured Data Analysis and Statistical Methods
;
Symbolic Systems
Abstract:
In recent years, the growth of Social Network communities has posed new challenges for content providers and distributors. Digital contents and their rich multilingual metadata sets need improved solutions for an efficient content management. This paper presents an indexing and searching solution for cross media content, developed for a Social Network in the domain of Performing Arts. The research aims to cope with the complexity of a heterogeneous indexing semantic model, with tuning techniques for discrimination of relevant metadata terms. Effectiveness and optimization analysis of the retrieval solution are presented with relevant metrics. The research is conducted in the context of the ECLAP project (http://www.eclap.eu).