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KMi Seminars
Learning Ontologies by Processing Natural Language Text
This event took place on Wednesday 03 November 2004 at 12:30

Dileep Damle KMi, The Open University

Ontology construction is a costly and slow process requiring ontological engineering skills as well as domain expertise. The semantic web will be greatly facilitated if domain ontologies could be built quickly and cheaply without human expertise of either kind.

One approach to automatic ontology creation is to utilize existing knowledge resources such as database schema. These can be very useful, but are rare and natural language text is more likely to be available for many domains. But complete, unambiguous and accurate interpretation of natural language texts by computers is currently a very major challenge This work is concerned with extracting ontological elements such as concepts, their properties and inter-relationships from natural language corpora in order to grow an ontology for the domain in a semi-automatic way. The hypothesis is that it is not necessary to fully, and unambiguously interpret all sentences in text, but inferences drawn from parts of sentences may be sufficient for the purpose if enough text is available.

The presentation will cover some early results in two of the main areas of this research.

1. Identification of the domain relevant terms in the corpus
2. Some early examples of semantic extractors

 
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