Data Mining and Knowledge Discovery Handbook
Data Mining and Knowledge Discovery Handbook
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
Building a Priori Knowledge Spaces from Interrogative Domains
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
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We are investigating the potential use of trial transcripts as sources of social knowledge for epistemic agents. But we are immediately faced with the reality that not all transcripts are equal. The quality of the transcripts will be partially related to the knowledge, consistency, and integrity of the individuals that testify during the course of the trial, and related to the nature and sophistication of the questions. Before we can determine whether a transcript will be useful as a knowledge source for an epistemic agent, we have to identify the consistency and quality of the knowledge present in the transcript. Coherence clusters demarcate the network of positively and negatively related propositions in the transcript. The justification clusters define the subcluster of propositions that support or justify other propositions in a coherence cluster. These clusters can be used to determine the nature of the consistency of the knowledge potentially present in the transcript. In this paper, we show how these clusters are identified using epistemic analysis. Our goals is to use these clusters as the basis for an epistemic metric used to determines the quality propositional knowledge present in a transcript.