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KMi Seminars
Discovering the semantics of user keywords
This event took place on Wednesday 05 September 2007 at 11:30

 
Jorge Gracia University of Zaragoza, Spain

Nowadays the Web is an information resource with an enormous potential. However this potential is not fully exploited by traditional search methods which not consider explicit semantics. In this talk, a system that discovers the intended meaning of a set of user keywords will be described. Firstly, the system discovers the semantics of the user keywords at run-time by harvesting the Semantic Web, obtaining a list of possible senses for each keyword. Secondly, it removes possible redundancies by using a synonymy probability measure. Finally, a disambiguation method is applied to select the most probable intended sense of each keyword according to the context. For example, it is expected that, for the keyword set "life of film stars", the meaning of "star" as "a famous actor" arises instead of its astronomical meaning. The output of this step can be used to build formal queries which represent the initial user query in a knowledge representation language.
In this new paradigm of applications that exploit the huge amount of formally specified information available on the Web, we can find another important example in the Ontology Matching field. A new method has been proposed to derive mappings from an exploration of multiple and heterogeneous online ontologies. In this talk I will describe how this method can be improved by using some techniques from the above mentioned system, in combination with the PowerMap system.

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.