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KMi Seminars
Explainable Systems
This event took place on Monday 09 May 2005 at 10:00

 
Dr. Paulo Pinheiro da Silva

When most current applications return answers, many users do not know what information sources were used, when they were updated, how reliable the source was, or what information was looked up versus derived. Many users also do not know how answers were derived. In this talk, we first show examples of explanations helping users to understand and trust system answers. Then we introduce the Inference Web (IW), our solution that enables explainable systems. IW aims to take opaque query answers and make the answers more transparent by providing infrastructure for presenting and managing explanations. The explanations include information concerning where answers came from (knowledge provenance) and how they were derived (or retrieved). The infrastructure includes:
  • IWBase: an extensible web-based registry containing details
    about information sources, reasoners, languages, and rewrite rules;

  • PML: the Proof Markup Language, an interlingua representation
    for justifications of results produced by software systems; and

  • a comprehensive tool suite for browsing, checking and
    abstracting proofs, and explaining answers through dialogues with users.
Finally, we report on current Inference Web applications including details about two of these applications: explaining extraction as inference in support of IBM's Unstructured Information Management Architecture (UIMA) effort, and explaining task processing as inference in support of DARPA PAL's CALO personal assistant project.

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KMi Seminars
 

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