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

2004 ◽  
pp. 17-30 ◽  
Author(s):  
Alexander Kozlenkov ◽  
Michael Schroeder
Keyword(s):  
Semantic Web ◽  
Rule Based

Creating a Policy-Aware Web

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.

Practical Rule-Based Qualitative Temporal Reasoning for the Semantic Web

2021 ◽  
pp. 188-202
Author(s):  
Guilherme Lima ◽  
Marcelo Machado ◽  
Rosario Uceda-Sosa ◽  
Marcio Moreno
Keyword(s):  
Semantic Web ◽  
Temporal Reasoning ◽  
Rule Based

Rule-based agents for the semantic web

2003 ◽  
Vol 2 (4) ◽  
pp. 323-338 ◽  
Author(s):  
J. Dietrich ◽  
A. Kozlenkov ◽  
M. Schroeder ◽  
G. Wagner
Keyword(s):  
Semantic Web ◽  
Rule Based

scholarly journals Performance Evaluation of the Semantic Web Reasoners

2019 ◽  
Vol 8 (4) ◽  
pp. 2531-2539
Keyword(s):  
Performance Evaluation ◽  
Semantic Web ◽  
Rule Based ◽  
Major Benefit ◽  
New Knowledge ◽  
Full Power ◽  
Software Codes ◽  
Advanced Model ◽  
Logical Rules ◽  
Reasoning Engine

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.

A Policy-Based Team Collaboration

2012 ◽  
Vol 8 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Jae W. Hwang ◽  
Shmuel Rotenstreich
Keyword(s):  
Semantic Web ◽  
Final Decision ◽  
Semantic Web Technologies ◽  
Team Collaboration ◽  
Rule Based ◽  
Semantic Query ◽  
Web Technologies ◽  
Negotiation Protocol ◽  
Coordination Model ◽  
Ontology Language

This paper presents a policy-based coordination model for team collaboration. Team collaboration requires an agreement that utilizes a negotiation protocol to find candidate teams and to decide on a collaboration partner. The decision relies on policies that are rules governing team situations in an organization. Contexts and rules allow reasoning about team situations. The authors describe a policy-based negotiation protocol. It introduces an ontology-based whiteboard component that uses the Semantic Web technologies such as Web Ontology Language (OWL), Semantic Web Rule Language (SWRL), and Semantic Query-enhanced Web Rule Language (SQWRL). The negotiation protocol facilitates whiteboards as a computational foundation for awareness of situations and policies, and it assists with the final decision using a measure based on the combination of rule-based queries and functions.

Function Semantic Representation (FSR): A Rule-Based Ontology for Product Functions

2010 ◽  
Vol 10 (3) ◽  
Author(s):  
Seung-Cheol Yang ◽  
Lalit Patil ◽  
Debasish Dutta
Keyword(s):  
Semantic Web ◽  
Semantic Representation ◽  
Functional Model ◽  
Consistency Checking ◽  
Formal Representation ◽  
Rule Based ◽  
Modeling And Analysis ◽  
Ontology Language ◽  
Web Standards ◽  
Product Function

Defining or understanding a product in terms of its functions facilitates a wide variety of tasks such as design synthesis, modeling, and analysis. However, the lack of a semantically correct formal representation of product functions creates a barrier to their effective capture, exchange, and reuse. This paper presents Function Semantics Representation, a rule-based ontological formalism that is consistent with the Semantic Web standards to capture different components of a product function. In particular, the Semantic Web Rule Language is used to overcome limitations in using the basic Web Ontology Language ontology to explicitly capture advanced semantics essential to completely represent product functions. This enables support for an effective reasoning mechanism to develop and validate the product function (or functional model). We present examples that demonstrate consistency checking and the ability to retrieve functionally similar products from a repository.

Knowledge-Based Intermediaries

2010 ◽  
pp. 191-205
Author(s):  
Levent V. Orman
Keyword(s):  
Semantic Web ◽  
Information Technologies ◽  
Electronic Markets ◽  
Rule Based ◽  
Knowledge Based ◽  
New Information ◽  
Maintenance Systems ◽  
Multiple Levels ◽  
Organizational Architecture ◽  
New Generation

A new generation of intermediaries is predicted to flourish in the emerging electronic markets. They rely on new information technologies such as the semantic web, rule-based triggers, and knowledge-based constraint maintenance systems. These technologies do not automate or reduce intermediation, but inspire new types of intermediaries that rely on the technologies and complement them with human organizations. An inter-organizational architecture based on multiple levels of intermediation is described, and arguments are presented for its usefulness in emerging electronic markets.

Rule-Based OWL Ontology Reasoning Systems

2010 ◽  
pp. 124-148 ◽  
Author(s):  
Georgios Meditskos ◽  
Nick Bassiliades
Keyword(s):  
Semantic Web ◽  
Description Logic ◽  
Formal Semantics ◽  
Web Ontology Language ◽  
Rule Engine ◽  
Basic Principles ◽  
Rule Based ◽  
Ontology Language ◽  
Open Nature ◽  
The Web

This chapter is focused on the basic principles behind the utilization of rules in order to perform reasoning about the Web Ontology Language (OWL), a Description Logic-based language that is the W3C recommendation for creating and sharing ontologies in the Semantic Web. More precisely, we elaborate on the entailment-based OWL reasoning (EBOR) paradigm, which is based on the utilization of RDF/ RDFS and OWL entailment rules that run on a rule engine, applying the formal semantics of the ontology language. To this end, seven EBOR systems are described and compared, analyzing the different approaches. Despite the closed rule environment, which comes in contrast with the open nature of the Semantic Web, and the fact that OWL semantics are partially mapped into rules, the rule-based OWL reasoning paradigm can give great potentials in the Semantic Web, enabling the utilization of rule engines on top of ontology information.

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