A multimodal content-based approach for web pages analysis. Issue 4 (1st January 2013)

• Record Type: Journal Article
• Authors: Rinaldi, Antonio M.
• Is Part Of: International journal of knowledge engineering and data mining. Volume 2:Issue 4(2013)
• Page Start: 292
• Page End: 316
• Publication Date: 2013-01-01
• Subjects: multimodal web information retrieval -- content-based information retrieval -- CBIR -- semantic relatedness metric -- ontologies -- WordNet; Knowledge representation (Information theory) -- Periodicals; Data mining -- Periodicals; 006.305
• Languages: English
• ISSNs: 1755-2087

Abstract

Multimedia information retrieval (MIR) has become a very active research area. Many retrieval approaches, based on extracting and representing visual properties of multimedia data, have been developed. These approaches are usually based on the processing of low level features (i.e., visual features for image and video data) or on high level knowledge: a combination of the two has not still drawn enough attention. This paper introduces a novel approach and a complete framework to MIR, in which the user uses both textual and visual semantic information in order to retrieve data more accurately. Our approach has been implemented in a prototype system and several experiments in the World Wide Web domain have been carried out using numerous tests. These tests show that the integration of such data significantly improves the retrieval system performances.