Clarification KBS as Consultation-Justification Mash Ups - Proposing A Novel Paradigm for All-in-One Knowledge-Based Systems

Regarding knowledge-based systems (KBS), the once common paradigm—perfectly mimicking the abilities of human experts—is gradually replaced by an increasing demand for more (active) user participation. The therefore required key features intelligent data input handling and results presentation/justification, however, are still treated separately most often. In this paper, we propose a novel KBS paradigm, the Clarification KBS, as a mash up type of consultation and justification interaction and presentation—intended to foster active user participation according to users’ competency; the KBS’ explicability; and support for learnability. We discuss both the theoretical concept of clarification KBS, as well as several distinct variants for realizing appropriate UI- and interaction designs. Further, we report diverse evaluation experiences regarding a specific instantiation of clarification KBS—the ITree KBS type; therefore, we subsume its specific characteristics, describe corresponding case studies, and discuss the respective results.

• Publication year

  2014

• Venue

  LWA

• Publication date

  2014-10-21

• Fields of study

  Computer Science

• Identifiers
  DOI 10.5220/0005028501680175
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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