Performance Evaluation of the Semantic Web Reasoners

The major benefit of working on Ontology Web Language (OWL) is its ability to define semantics such that the information becomes more valuable. To realize the full power of semantics, it is essential to integrate a reasoning engine to it. The software codes that perform inferences are often referred to as reasoning engines or reasoners. The reasoners can be classified into categories: tableau based and rule based reasoners. The rule based reasoners combines the assertions with a set of logical rules to infer new knowledge chunks. The Jena framework offers several ways to integrate rule based reasoners programmatically. The operation is similar to creating a more advanced model from a simpler one. The objective of this paper is to list and classify the reasoners according to OWL 2 profiles thereafter the focus of this study is to develop a model which evaluate the performance of Semantic Web Reasoner based on few parameters.

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Comparison of a Deductive Database with a Semantic Web reasoning engine

Knowledge-Based Systems ◽

10.1016/j.knosys.2010.04.005 ◽

2010 ◽

Vol 23 (6) ◽

pp. 634-642 ◽

Cited By ~ 4

Author(s):

Simone A. Ludwig

Keyword(s):

Semantic Web ◽

Deductive Database ◽

Reasoning Engine

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Fuzzy Rule-based Integrated System Multi-indicators Economic Performance Evaluation and Decision Making Support Framework

International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06) ◽

10.1109/cimca.2005.1631348 ◽

2006 ◽

Author(s):

Jian Zhou ◽

Qing Li ◽

Dafeng Xu ◽

Yuliu Chen ◽

Tianyuan Xiao

Keyword(s):

Decision Making ◽

Performance Evaluation ◽

Economic Performance ◽

Fuzzy Rule ◽

Integrated System ◽

Rule Based ◽

Decision Making Support

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PROVA: Rule-Based Java-Scripting for a Bioinformatics Semantic Web

Lecture Notes in Computer Science - Data Integration in the Life Sciences ◽

10.1007/978-3-540-24745-6_2 ◽

2004 ◽

pp. 17-30 ◽

Cited By ~ 9

Author(s):

Alexander Kozlenkov ◽

Michael Schroeder

Keyword(s):

Semantic Web ◽

Rule Based

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A Fuzzy Rule-Based Expert System for Evaluating Intellectual Capital

Advances in Fuzzy Systems ◽

10.1155/2012/823052 ◽

2012 ◽

Vol 2012 ◽

pp. 1-11 ◽

Cited By ~ 2

Author(s):

Mohammad Hossein Fazel Zarandi ◽

Neda Mohammadhasan ◽

Susan Bastani

Keyword(s):

Performance Evaluation ◽

Expert System ◽

Intellectual Capital ◽

Fuzzy Rule ◽

Qualitative Evaluation ◽

Linguistic Variables ◽

Rule Based ◽

Proposed Model ◽

Linguistic Approach ◽

Fuzzy Linguistic

A fuzzy rule-based expert system is developed for evaluating intellectual capital. A fuzzy linguistic approach assists managers to understand and evaluate the level of each intellectual capital item. The proposed fuzzy rule-based expert system applies fuzzy linguistic variables to express the level of qualitative evaluation and criteria of experts. Feasibility of the proposed model is demonstrated by the result of intellectual capital performance evaluation for a sample company.

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SWRLx

Information Retrieval and Management ◽

10.4018/978-1-5225-5191-1.ch016 ◽

2018 ◽

pp. 348-367

Author(s):

Souad Bouaicha ◽

Zizette Boufaida

Keyword(s):

Semantic Web ◽

Knowledge Base ◽

Object Oriented ◽

Web Ontology Language ◽

Rule Engine ◽

Ontology Language ◽

New Knowledge ◽

Semantic Web Rule Language

Although OWL (Web Ontology Language) and SWRL (Semantic Web Rule Language) add considerable expressiveness to the Semantic Web, they do have expressive limitations. For some reasoning problems, it is necessary to modify existing knowledge in an ontology. This kind of problem cannot be fully resolved by OWL and SWRL, as they only support monotonic inference. In this paper, the authors propose SWRLx (Extended Semantic Web Rule Language) as an extension to the SWRL rules. The set of rules obtained with SWRLx are posted to the Jess engine using rewrite meta-rules. The reason for this combination is that it allows the inference of new knowledge and storing it in the knowledge base. The authors propose a formalism for SWRLx along with its implementation through an adaptation of different object-oriented techniques. The Jess rule engine is used to transform these techniques to the Jess model. The authors include a demonstration that demonstrates the importance of this kind of reasoning. In order to verify their proposal, they use a case study inherent to interpretation of a preventive medical check-up.

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Mini-ME Matchmaker and Reasoner for the Semantic Web of Things

Innovations, Developments, and Applications of Semantic Web and Information Systems - Advances in Web Technologies and Engineering ◽

10.4018/978-1-5225-5042-6.ch010 ◽

2018 ◽

pp. 262-294 ◽

Cited By ~ 2

Author(s):

Floriano Scioscia ◽

Michele Ruta ◽

Giuseppe Loseto ◽

Filippo Gramegna ◽

Saverio Ieva ◽

...

Keyword(s):

Performance Evaluation ◽

Decision Support ◽

Semantic Web ◽

Knowledge Bases ◽

Semantic Web Technologies ◽

Experimental Performance ◽

Web Of Things ◽

Web Technologies ◽

Constrained Environments ◽

And Performance

The Semantic Web of Things (SWoT) aims to support smart semantics-enabled applications and services in pervasive contexts. Due to architectural and performance issues, most Semantic Web reasoners are often impractical to be ported: they are resource consuming and are basically designed for standard inference tasks on large ontologies. On the contrary, SWoT use cases generally require quick decision support through semantic matchmaking in resource-constrained environments. This paper describes Mini-ME (the Mini Matchmaking Engine), a mobile inference engine designed from the ground up for the SWoT. It supports Semantic Web technologies and implements both standard (subsumption, satisfiability, classification) and non-standard (abduction, contraction, covering, bonus, difference) inference services for moderately expressive knowledge bases. In addition to an architectural and functional description, usage scenarios and experimental performance evaluation are presented on PC (against other popular Semantic Web reasoners), smartphone and embedded single-board computer testbeds.

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Ontological Dimensions of Semantic Mobile Web 2.0

Handbook of Research on Mobility and Computing ◽

10.4018/978-1-60960-042-6.ch042 ◽

2011 ◽

pp. 667-688

Author(s):

Gonzalo Aranda-Corral ◽

Joaquín Borrego-Díaz

Keyword(s):

Social Networks ◽

Semantic Web ◽

Knowledge Representation ◽

Web 2.0 ◽

Point Of View ◽

Knowledge Representation And Reasoning ◽

Mobile Web ◽

New Knowledge ◽

New Challenges

In this chapter, we advance, from the point of view of Knowledge Representation and Reasoning, an analysis of which ontological dimensions are needed to develop Mobile Web 2.0 on top of Semantic Web. This analysis will be particularly focused on social networks and it will try to make an outlook about the new knowledge challenges on this field. Some of these new challenges will be linked to Semantic Web context, while others will be inherent to Semantic Mobile Web 2.0.

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Creating a Policy-Aware Web

Global Information Technologies ◽

10.4018/978-1-59904-939-7.ch008 ◽

2008 ◽

pp. 81-100

Author(s):

Daniel J. Weitzner ◽

Jim Hendler ◽

Tim Berners-Lee ◽

Dan Connolly

Keyword(s):

Semantic Web ◽

Management System ◽

World Wide ◽

Theorem Prover ◽

Future Research ◽

Policy Management ◽

Rule Based ◽

The World ◽

The Web ◽

Current Mechanism

In this chapter, we describe the motivations for, and development of, a rule-based policy management system that can be deployed in the open and distributed milieu of the World Wide Web. We discuss the necessary features of such a system in creating a “Policy Aware” infrastructure for the Web and argue for the necessity of such infrastructure. We then show how the integration of a Semantic Web rules language (N3) with a theorem prover designed for the Web (Cwm) makes it possible to use the Hypertext Transport Protocol (http) to provide a scalable mechanismfor the exchange of rules and, eventually, proofs for access control on the Web. We also discuss which aspects of the Policy Aware Web are enabled by the current mechanism and describe future research needed to make the widespread deployment of rules and proofs on the Web a reality.

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