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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.

Download PowerPoint Presentation (512Kb ZIP file)

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

Future Internet is...


Future Internet
With over a billion users, today's Internet is arguably the most successful human artifact ever created. The Internet's physical infrastructure, software, and content now play an integral part of the lives of everyone on the planet, whether they interact with it directly or not. Now nearing its fifth decade, the Internet has shown remarkable resilience and flexibility in the face of ever increasing numbers of users, data volume, and changing usage patterns, but faces growing challenges in meetings the needs of our knowledge society. Globally, many major initiatives are underway to address the need for more scientific research, physical infrastructure investment, better education, and better utilisation of the Internet. Within Japan, USA and Europe major new initiatives have begun in the area.

To succeed the Future Internet will need to address a number of cross-cutting challenges including:

  • Scalability in the face of peer-to-peer traffic, decentralisation, and increased openness

  • Trust when government, medical, financial, personal data are increasingly trusted to the cloud, and middleware will increasingly use dynamic service selection

  • Interoperability of semantic data and metadata, and of services which will be dynamically orchestrated

  • Pervasive usability for users of mobile devices, different languages, cultures and physical abilities

  • Mobility for users who expect a seamless experience across spaces, devices, and velocities