Distributed knowledge by explanation networks
2004 (English)Conference paper (Refereed)
A knowledge based system may be considered as knowledge, distributed between one or several experts and the system users. Explanations in such a system provide for a more intensive interaction between the system and the user. We construct an explanation network by defining relationships between various knowledge fragments. Knowledge fragments on varying levels are formulated using the Qualitative Process Theory. The relationships are defined by links, compatible with Rhetorical Structure Theory. Different knowledge elements are combined into an explanation path by using Toulmin's argumentation theory. The feasibility of this approach is investigated. We show the following: By representing relations in a concept hierarchy as well as representing the relationships between elements in a rule of a knowledge base, both problem solving inferences and explanations can be generated. At the moment, the derivation of explanations cannot be performed automatically, but ready-made explanations may be stored and presented in a useful way. The explanation network idea has great knowledge acquisition power. An empirical study with users showed that different paths within the explanation net are useful for users with different prior knowledge. To conclude, the idea of distributing knowledge by support from an explanation network is fruitful and feasible.
Place, publisher, year, edition, pages
2004. 2127-2136 p.
, Proceedings of the Hawaii International Conference on System Sciences, ISSN 1060-3425 ; 37
Activity theory, Knowledge fragments, Rhetorical structure theory, Toulmin augmentation theory, Cognitive systems, Data processing, Knowledge acquisition, Knowledge based systems, Learning systems, Problem solving, Proteins, Purification, Distributed computer systems
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-157718ScopusID: 2-s2.0-12344291212OAI: oai:DiVA.org:kth-157718DiVA: diva2:771884
Proceedings of the Hawaii International Conference on System Sciences, 5 January 2004 through 8 January 2004, Big Island, HI, United States
QC 201412152014-12-152014-12-122014-12-15Bibliographically approved