Geodesic
A Layered Rule-Based Architecture for Approximate Knowledge Fusion
Computer Science and Information Systems, Tome 7 (2010) no. 3 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

Voir la notice de l'article

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.
Keywords: knowledge fusion, multi-agent systems, approximate reasoning, rule-based systems 
@article{CSIS_2010_7_3_a12,
     author = {Barbara Dunin-Keplicz and Linh Anh Nguyen and Andrzej Szalas},
     title = {A {Layered} {Rule-Based} {Architecture} for {Approximate} {Knowledge} {Fusion}},
     journal = {Computer Science and Information Systems},
     year = {2010},
     volume = {7},
     number = {3},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2010_7_3_a12/}
}
TY  - JOUR
AU  - Barbara Dunin-Keplicz
AU  - Linh Anh Nguyen
AU  - Andrzej Szalas
TI  - A Layered Rule-Based Architecture for Approximate Knowledge Fusion
JO  - Computer Science and Information Systems
PY  - 2010
VL  - 7
IS  - 3
UR  - http://geodesic.mathdoc.fr/item/CSIS_2010_7_3_a12/
ID  - CSIS_2010_7_3_a12
ER  - 
%0 Journal Article
%A Barbara Dunin-Keplicz
%A Linh Anh Nguyen
%A Andrzej Szalas
%T A Layered Rule-Based Architecture for Approximate Knowledge Fusion
%J Computer Science and Information Systems
%D 2010
%V 7
%N 3
%U http://geodesic.mathdoc.fr/item/CSIS_2010_7_3_a12/
%F CSIS_2010_7_3_a12
Barbara Dunin-Keplicz; Linh Anh Nguyen; Andrzej Szalas. A Layered Rule-Based Architecture for Approximate Knowledge Fusion. Computer Science and Information Systems, Tome 7 (2010) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2010_7_3_a12/