Szczegóły publikacji
Opis bibliograficzny
Web-based editor for structured rule bases / Szymon BOBEK, Grzegorz J. NALEPA, Przemysław Babiarz // W: Artificial Intelligence and Soft Computing : 16th International Conference : ICAISC 2017 Zakopane, Poland, June 11–15, 2017 : proceedings, Pt. 2 / eds. Leszek Rutkowski, [et al.]. — Switzerland : Springer International Publishing, cop. 2017. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; LNAI 10246). — Toż na Dysku Flash. — ISBN: 978-3-319-59059-2; e-ISBN: 978-3-319-59060-8. — S. 411–421. — Bibliogr. s. 421, Abstr. — Publikacja dostępna online od: 2017-05-24
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 106587 |
|---|---|
| Data dodania do BaDAP | 2017-06-30 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-319-59060-8_37 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp | |
| Wydawca | Springer |
| Konferencja | International Conference on Artificial Intelligence and Soft Computing 2017 |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
Knowledge engineering aims at providing methods for efficient knowledge encoding to allow for automatic reasoning. Most of the research in this field is devoted to the design of expressive modeling languages or effective reasoning mechanisms. We argue that powerful knowledge representation and inference mechanism is not enough to assure high quality knowledge bases. It is crucial to provide methods for creation and visualization of knowledge. This allows an engineer to focus on the task of building the knowledge without the distraction caused by the complexity of the representation, syntax, etc. The original contribution of this paper is a definition of three categories of requirements for visualization and editing software for structured rule bases. We propose the prototype implementation of such a tool and provide the evaluation that involves comparison with existing approaches and user test to measure the usability of the solution.