Title :
Building a Priori Knowledge Spaces from Interrogative Domains
Author :
Hughes, Camer A. ; Hughes, Tracey D.
Author_Institution :
Ctest Labs., Youngstown, OH, USA
Abstract :
A Priori knowledge is the knowledge an agent has gained prior to experiences and learning. A priori knowledge acquisition along with relevant functional ontology building remain obstacles in the process of building knowledge-based agent-oriented systems. In this paper, we describe epistemic analysis techniques that we are exploring at Ctest Laboratories that are used to automatically discover ontological artifacts within the transcripts of interrogative domains. These ontological artifacts are then used as the fundamental basis of a priori knowledge spaces for epistemic agent-oriented systems. We are using ROGUE (Real-time Ontology Generation Using Epistemic Agents) to perform the transcript and text mining. ROGUE is a multi-agent system under development at Ctest Laboratories.
Keywords :
data mining; multi-agent systems; ontologies (artificial intelligence); ROGUE; a priori knowledge acquisition; a priori knowledge space; epistemic agent-oriented system; epistemic analysis technique; functional ontology; interrogative domain; knowledge-based agent-oriented system; multiagent system; real-time ontology generation; text mining; transcript mining; agents; epistemic structures; epistemological analysis; epistemology; interrogative transcript; propositional knowledge; text mining; transcript mining;
Conference_Titel :
Semantic Computing (ICSC), 2010 IEEE Fourth International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-7912-2
Electronic_ISBN :
978-0-7695-4154-9
DOI :
10.1109/ICSC.2010.64