Szczegóły publikacji
Opis bibliograficzny
Semantic annotations for mediation of complex rule systems / Mateusz ŚLAŻYŃSKI, Grzegorz J. NALEPA, Szymon BOBEK, Krzysztof KUTT // 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. 623–634. — Bibliogr. s. 633–634, Abstr.
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 106592 |
|---|---|
| Data dodania do BaDAP | 2017-06-30 |
| DOI | 10.1007/978-3-319-59060-8_56 |
| 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
Design of Business Intelligence systems capable of effectively handling a domain knowledge is a well known, but currently not solved challenge for both Software and Knowledge Engineers. There exist several approaches to extract and model the Business Knowledge, most notably Business Processes and Business Rules. However, each of them has its own weaknesses and therefore it is often desirable to build hybrid models composed of several knowledge representations. In this paper we describe an extension to Business Rules in order to facilitate creation of such heterogeneous systems. This is achieved by introducing semantic annotations to existing rule modeling languages. We also present how the additional semantic information is leveraged in the Prosecco project.
