SQA project: Homepage
What is SQA?
What is SQA?

The Semantic Web can be seen as an extension of the current one, in which information is given a formal meaning, better enabling computers to understand such information and handle it in a smarter manner.

In order to give to the content of Web resources a formal, computer understandable, meaning and make possible the Semantic Web vision, we need to add semantic metadata to such Web resources. The process of adding semantic metadata to Web resources is commonly referred as semantic annotation. In general, the semantic annotation of a Web resource requires to relate, to link, its whole content or a part of it (for instance one word, a frame of a video, or a part of an image) with a certain concept identifier (usually an URI, Uniform Resource Identifier), taken from an ontology or other knowledge source. Semantic annotation has a critical importance in order to make the Semantic Web become a reality.

The SQA, Semantic Query-based Annotation system presents a collaborative approach to semantic annotation which tries to take advantage of the effort of the millions of users who every day look for information on the Web using Web search engines as Google. In order to do so, the system integrates the semantic annotation task with the keyword-based information retrieval task familiar to most Web users. The annotation process in SQA requires that the users annotate their queries instead of annotating directly the contents of the Web resources. The keywords in the annotated queries are send to classical Web search engines as Google and a list of relevant resources for the user query are shown to the user. By clicking on a button, the user can say which resources are relevant for his/her query. By doing so, the concepts annotating the query are associated to the Web resource and a new annotation is defined.

Apart from integrating semantic annotation with habitual user actions, other of the characteristics of SQA is the usage of Wikipedia as semantic source in the semantic annotation process. Some of the advantages of this approach are:

The SQA approach has also been sucessfully integrated with the Gnowsis semantic desktop. More information on this can be found on the SQA4Desktop homepage.

Related resources
Watch SQA video Video (flash plugin required)
Try SQA Web demo SQA Web demo
Download SQA annotation schema SQA annotation RDF(S) schema (N3 format)
SQA4Desktop Using SQA in Gnowsis semantic desktop
Interested in this work? Please cite the following article...
A Wikipedia-Based Framework for Collaborative Semantic Annotation
Fernández-García, N.; Arias Fisteus, J.; Sánchez-Fernández, L.; Fuentes Lorenzo, D.; Luque, V..
International Journal on Artificial Intelligence Tools, Vol. 20, Issue 5, October 2011, pp. 847-886, ISSN: 0218-2130.
Additional (elder) references are...
An Ontology-based P2P System for Query-based Semantic Annotation Sharing.
Fernández-García, N.; Sánchez-Fernández, L.; Blázquez-del-Toro, J.; Larrabeiti, D..
In Ontologies in P2P Communities Workshop colocated with ESWC 2005, Heraklion, Crete, May 2005.
PDF version
Exploiting User Queries and Web Communities in Semantic Annotation.
Fernández-García, N.; Sánchez-Fernández, L.; Blázquez-del-Toro, J.; Luque, V.. CEUR-WS Vol. 185
Exploiting Wikipedia in Integrating Semantic Annotation with Information Retrieval
Fernández-García, N.; Blázquez-del-Toro, J.; Sánchez-Fernández, L.; Luque, V..
In 4th Atlantic Web Intelligence Conference (AWIC 2006) Beer-Sheva, Israel, June 2006. Studies in Computational Intelligence, Ed. Springer, ISSN 1860-949X, Advances in Web Intelligence and Data Mining, Vol. 23, ISBN: 3-540-33879-9, pp. 61-70
Springer Link
A Semantic Web Portal for Semantic Annotation and Search
Fernández-García, N.; Blázquez-del-Toro, J.; Arias-Fisteus, J.; Sánchez-Fernández, L..
In proceedings of the Semantic Web Engineering Applications invited session, SWEA, colocated with the 10th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems, KES 2006. Bournemouth, UK. Lecture Notes on Artificial Intelligence vol. 4253, Ed. Springer, ISSN 0302-9743, pp. 580-587.
Springer Link
Contact person Norberto Fernández
Institution Web technologies lab (webTlab), Telematics Engineering Deparment, Universidad Carlos III de Madrid

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