The on-line world is populated by an increasing number of knowledge-rich resources. Furthermore, there is a growing trend among authors to provide semantic markup of these resources. This presents a tantalizing prospect. Perhaps we can leverage the person-years of effort invested in building these knowledge-rich resources to create large-scale knowledge bases. The World Fact Book knowledge base...

An improved version of IRACQ (for Interpretation Rule ACQuisition) is presented. I Our approach to semantic knowledge acquisition: 1 ) is in the context of a general purpose NL interface rather than one that accesses only databases, 2) employs a knowledge representation formalism with limited inferencing capabilities, 3) assumes a trained person but not an AI expert, and 4) provides a complete ...

Managing uncertainty in complex domains requires a exible and semantically sound knowledge representation. This is especially important during the initial knowledge engineering and subsequent maintenance of the knowledge base. We present a new model of knowledge representation called Bayesian Knowledge Bases. It uniies a \if-then" style rules with probability theory. We can prove that such a me...

A long term goal in knowledge representation is the development of a knowledge based system (KBS). A KBS stores knowledge in a completely declarative way and is equipped with various domain independent inference methods to perform different reasoning tasks for a broad field of applications. In this paper we took a state-of-the-art KBS, IDP, with corresponding language FO(), and tested its appli...

New product development (NPD) in the pharmaceutical industry is very knowledge intensive. Knowledge generated and used during medical NPD processes is fragmented and distributed across various phases and artifacts. Many challenges in medical NPD can be addressed by the integration of this fragmented knowledge. We propose the creation and use of knowledge networks to address these challenges. Ba...

candidatecharacters.And thisalgorithmhasafacultyfor extractingwordsevenwhentherightcharacteTisnotamong thecandidatecharacters.Asaresultalgorithm(b)isfaster thanalgorithm(a)andcanbemoreprecise・ ThispaperproposesanerrorcorrectionalgorithmEor handwrittenKaniinamerecognition・Errorsandreiectsofa eharaeterrecognitionareautomaticallycorrected with the helpofanameknowledgebase・Furthermore,Whenusers wri...

In open environments, agents need to reason with knowledge from various sources, represented in different languages. Managed Multi-Context Systems (mMCSs) allow for the integration of knowledge from different heterogeneous sources in an effective and modular way, where so-called bridge rules express how information flows between the contexts. The problem is that mMCSs are essentially static as ...

We take a simple form of non-adversarial persuasion dialogue in which one participant (the persuader) aims to convince the other (the responder) to accept the topic of the dialogue by asserting sets of beliefs. The responder replies honestly to indicate whether it finds the topic to be acceptable (we make no prescription as to what formalism and semantics must be used for this, only assuming so...

In this paper, we describe a user focused approach to generating goal oriented explanations that motivate the user to achieve their task. The planner is combined with the knowledge base in a way that distinguishes between the user’s and tutor’s reasoning processes, skills and knowledge and that reflects the way humans’ reason in the context of explanatory dialogue. Personalised information is p...