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KMi Seminars
Learning Web Service Ontologies: Two Extraction Methods and their Evaluation
This event took place on Monday 11 October 2004 at 12:30

 
Dr. Marta Sabou KMi, The Open University

The promise of Semantic Web Services, that of automatic discovery and configuration of semantically described web services, depends on the existence of high quality ontologies that describe the domains of web services as well as their main functionalities. While only few ontologies designed for web service description exist, building such ontologies is time consuming and difficult.

To address this problem, we have built two semi-automatic methods for extracting web service ontologies from textual sources attached to web services (or their underlying implementations). The first method uses extraction patterns applied on the output of a Part Of Speech Tagger, also called surface patterns. The second method relies on deeper linguistic analysis, by employing a dependency checker. This allows writing more complex extraction patterns (called syntactic patterns) and therefore identifying more ontological elements (subsumption hierarchy, meronymy) than with the first method. The talk will describe these extraction methods and their evaluation in two real-life case studies.

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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.