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KMi Seminars
Background-based Ontology Mapping
This event took place on Thursday 01 March 2007 at 14:00

 
Zharko Aleksovski Vrije Universiteit, Amsterdam

Ontology matching is one of the most urgent and important problems on the Semantic Web. In the recent years it became apparent that using existing ontologies to mediate the matching process can have tremendous benefit as compared to the traditional matching methods.
This presentation provides: overview of a framework to perform ontology matching using other ontologies as background knowledge and an insight in matching experiments conducted with existing ontologies. Two ontologies were matched: NALT and Agrovoc, and other six ontologies taken from the Semantic Web were used as background knowledge. The experiments reveal what are the major causes for false matches, and how different characteristics of the background knowledge affect the matching performance.

 
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