KMi Publications

Tech Reports

Tech Report kmi-04-30 Abstract


Adaptive Named Entity Recognition for Social Network Analysis and Domain Ontology Maintenance
Techreport ID: kmi-04-30
Date: 2004
Author(s): Jianhan Zhu, Alexandre L. Goncalves, Victoria Uren
Download PDF

We present a system which unearths relationships between named entities from information in Web pages. We use an adaptive named entity recognition system, ESpotter, which recognizes entities of various types with high precision and recall from various domains on the Web, to generate entity data such as peoples' names. Given an entity, we apply a link analysis algorithm to the entity data for finding other entities which are closely related to it. We present our results to people whose names had been included for them to assess our findings. User feedback is analyzed by a statistical method. The results can be used to maintatin a domain ontology. Our experiments on the Knowledge Media Institute (KMi) domain show that our system can accurately find entities such as organizations, people, projects, and research areas which are closely related to people working in KMi, and the results conform with the existing knowledge in our ontology and suggest new knowledge which can be used to update the ontology.
 
KMi Publications
 

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