A Layered Rule-Based Architecture for Approximate Knowledge Fusion

Computer Science and Information Systems

Andrzej Szalas¹  Linh Anh Nguyen²  Barbara Dunin-Keplicz³ 

[1] Dept. of Computer and Information Science, Linkoping University;Institute of Computer Science, Polish Academy of Sciences;Institute of Informatics, University of Warsaw

关键词: knowledge fusion;    multi-agent systems;    approximate reasoning;    rule-based systems;   

DOI  :  10.2298/CSIS100209015D

学科分类：社会科学、人文和艺术（综合）

来源: Computer Science and Information Systems

【 摘 要 】

In this paper we present a framework for fusing approximate knowledge obtained from various distributed, heterogenous knowledge sources. This issue is substantial in modeling multi-agent systems, where a group of loosely coupled heterogeneous agents cooperate in achieving a common goal. In paper [5] we have focused on defining general mechanism for knowledge fusion. Next, the techniques ensuring tractability of fusing knowledge expressed as a Horn subset of propositional dynamic logic were developed in [13,16]. Propositional logics may seem too weak to be useful in real-world applications. On the other hand, propositional languages may be viewed as sublanguages of first-order logics which serve as a natural tool to define concepts in the spirit of description logics [2]. These notions may be further used to define various ontologies, like e.g. those applicable in the Semantic Web. Taking this step, we propose a framework, in which our Horn subset of dynamic logic is combined with deductive database technology. This synthesis is formally implemented in the framework of HSPDL architecture. The resulting knowledge fusion rules are naturally applicable to real-world data.

【 授权许可】

CC BY-NC-ND