A semantic multi-modal information retrieval approach based on linked data to multimedia convergent environments

Author

Lino, Natasha C. Q. ; Siebra, Clauirton A. ; Amaro, Manoel A. L.

Author_Institution

Inf. Center, Fed. Univ. of Paraiba, Joao Pessoa, Brazil

fYear

2014

Firstpage

830

Lastpage

834

Abstract

The Interactive Digital TV (IDTV) technology provides a set of information about its content via embedded metadata. However, such metadata does not present a semantic description, so that applications are not able to recover important information related to TV programs from other platforms, such as Internet. This additional information could, for example, improve the user experience using multimedia resources displayed over the TV stream. This paper proposes a Semantic Query approach based on the Semantic Web concepts, which enriches the metadata information via semantic relationships using data from the Linked Data cloud. The cross-platform aspect of this approach is demonstrated via the execution of a demo. Initial results show the potential of this approach mainly when compared to other current techniques.

Keywords

cloud computing; digital television; interactive television; multimedia computing; query processing; semantic Web; IDTV technology; Internet; Linked Data cloud; TV programs; TV stream; embedded metadata; interactive digital TV technology; metadata information; multimedia convergent environments; multimedia resources; semantic description; semantic multimodal information retrieval approach; semantic query approach; Google; HDTV; Multimedia communication; Ontologies; Semantic Web; Semantics; Linked data; Multimedia content; Semantic representations; iDTV;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Reuse and Integration (IRI), 2014 IEEE 15th International Conference on

Type

conf

DOI

10.1109/IRI.2014.7051975

Filename

7051975