Squiggle: a semantic search engine for indexing and retrieval of multimedia content
Irene Celino, Emanuele Della Valle, Dario Cerizza, Andrea Turati · 2006
Abstract. Search engines are becoming such an easy way to find textual resources that we wish to use them also for multimedia content; however, syntactic techniques, even if promising, are not up to the task: future search engines must consider new approaches. Experimental prototypes of this search engine of the future are appearing. Most of them employs “smart machines ” able to directly elaborate multimedia resources, but we believe that the solution should embrace also “smart data”, able to capture lexical and conceptual characteristics of a domain in an ontology. In order to prove that Semantic Web technologies provide real benefits to end users in terms of an easier and more effective access to information, we developedËÕÙ���Ð�, a Semantic Web framework that eases the deployment of semantic search engines. Following a model-driven approach to application development,ËÕÙ���Ð�makes ontologies (both the SKOS model and the domain knowledge) part of the running code. We evaluate the advantages ofËÕÙ���Ð�against traditional approaches in two real world deployments: one to search images of skiers for Torino 2006 Winter Olympic Games and one to search music files. 1