Comparison of a Deductive Database with a Semantic Web reasoning engine

被引：5

作者：

Ludwig, Simone A. ^{[1
]}

机构：

[1] Univ Saskatchewan, Dept Comp Sci, Saskatoon, SK S7N 0W0, Canada

来源：

KNOWLEDGE-BASED SYSTEMS | 2010年 / 23卷 / 06期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Knowledge engineering; Semantic Web; Performance comparison; Concept Base; Racer; Protege;

D O I：

10.1016/j.knosys.2010.04.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Knowledge engineering is a discipline concerned with constructing and maintaining knowledge bases to store knowledge of various domains and using the knowledge by automated reasoning techniques to solve problems in domains that ordinarily require human logical reasoning. Therefore, the two key issues in knowledge engineering are how to construct and maintain knowledge bases, and how to reason out new knowledge from known knowledge effectively and efficiently The objective of this paper is the comparison and evaluation of a Deductive Database system (ConceptBase) with a Semantic Web reasoning engine (Racer). For each system a knowledge base is implemented in such a way that a fair comparison can be achieved. Issues such as documentation, feasibility, expressiveness, complexity, distribution, performance and scalability are investigated in order to explore the advantages and shortcomings of each system. (C) 2010 Elsevier B V All rights reserved.

引用

页码：634 / 642

页数：9

共 13 条

[1] The neutral kaon decays to π+π-π0:: a detailed analysis of the CPLEAR data [J].

Angelopoulos, A ;

Apostolakis, A ;

Aslanides, E ;

Backenstoss, G ;

Bargassa, P ;

Behnke, O ;

Benelli, A ;

Bertin, V ;

Blanc, F ;

Bloch, P ;

Carlson, P ;

Carroll, M ;

Cawley, E ;

Chertok, MB ;

Danielsson, M ;

Dejardin, M ;

Derre, J ;

Ealet, A ;

Eleftheriadis, C ;

Faravel, L ;

Fassnacht, P ;

Fetscher, W ;

Fidecaro, M ;

Filipcic, A ;

Francis, D ;

Fry, J ;

Gabathuler, E ;

Gamet, R ;

Gerber, HJ ;

Go, A ;

Haselden, A ;

Hayman, PJ ;

Henry-Couannier, F ;

Hollander, RW ;

Jon-And, K ;

Kettle, PR ;

Kokkas, P ;

Kreuger, R ;

Le Gac, R ;

Leimgruber, F ;

Mandic, I ;

Manthos, N ;

Marel, G ;

Mikuz, M ;

Miller, J ;

Montanet, F ;

Nakada, T ;

Pagels, B ;

Papadopoulos, I ;

Pavlopoulos, P .

EUROPEAN PHYSICAL JOURNAL C, 1998, 5 (03) :389-409

[2]

[Anonymous], 2004, PRACTICAL GUIDE BUIL

[3] RETE A FAST ALGORITHM FOR THE MANY PATTERN MANY OBJECT PATTERN MATCH PROBLEM [J].

FORGY, CL .

ARTIFICIAL INTELLIGENCE, 1982, 19 (01) :17-37

[4] Toward principles for the design of ontologies used for knowledge sharing [J].

Gruber, TR .

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 1995, 43 (5-6) :907-928

[5]

JEUSFELD M, 1991, P DEDUCTIVE OBJECT O, V91

[6]

JEUSFELD M, 1993, QUERY PROCESSING ADV

[7]

LIM S, 1996, P 8 INT C COMP INF I, P979

[8]

MOHANIA MK, 1993, P IEEE REG 10 C COMP

[9]

MOHANIA MK, 1994, P 20 INT C VER LARG

[10]

NEJDL W, 2001, P WORKSH KNOWL MARK

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