Visualizing Logical Dependencies in SWRL Rule Bases

Hassanpour, Saeed; O’Connor, Martin J.; Das, Amar K.

doi:10.1007/978-3-642-16289-3_22

Cited by 13 publications

(6 citation statements)

References 7 publications

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“…Axiomé is a free open source Protégé plugin for SWRL rule management (Hassanpour et al , 2010). The rule base visualization is accomplished using a dependency graph developed following a semantic method.…”

Section: Discussionmentioning

confidence: 99%

“…Some existing works have tried to provide a comprehensible representation of the rule base to help the experts in a better edition. Some have represented each rule separately (Hassanpour et al , 2010), others have used tables (Xitao et al , 2014), and others have used graphs (matrices) (Hassanpour et al , 2010). It is obvious that if the base exceeds a dozen rules, its comprehension and its management become complicated.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, the first version of Axiomé (Hassanpour et al , 2009) was based on an analysis of references to the same classes and object properties without considering the variables analysis. In 2010, the second version of Axiomé (Hassanpour et al , 2010) was proposed to enhance the first version by analyzing the domain and range of object property atoms and considering the hierarchical relationships between classes and properties defined in the ontology. Furthermore, Slider-p (Chevalier et al , 2016) is a reasoner proposed to handle streaming data with a growing background knowledge base.…”

Section: Related Workmentioning

confidence: 99%

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A method to assist in the proper management of rule bases in Web information systems

Boujelben

Amous

2019

IJWIS

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Purpose One key issue of maintaining Web information systems is to guarantee the consistency of their knowledge base, in particular, the rules governing them. There are currently few methods that can ensure that rule bases management can scale to the amount of knowledge in these systems environment. Design/methodology/approach In this paper, the authors propose a method to detect correct dependencies between rules. This work represents a preliminary step for a proposal to eliminate rule base anomalies. The authors previously developed a method that aimed to ameliorate the extraction of rules dependency relationships using a new technique. In this paper, they extend the proposal with other techniques to increase the number of extracted rules dependency relationships. The authors also add some modules to filter and represent them. Findings The authors evaluated their own method against other semantic methods. The results show that this work succeeded in extracting better numbers of correct rules dependency relationships. They also noticed that the rule groups deduced from this method’s results are very close to those provided by the rule bases developers. Originality/value This work can be applied to knowledge bases that include a fact base and a rule base. In addition, it is independent of the field of application.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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A method to assist in the proper management of rule bases in Web information systems

Boujelben

Amous

2019

IJWIS

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“…In Hassanpour et al [7] and Orlando et al [10], two different methods to visualize SWRL rules are presented. Hassanpour et al [7] shows a visualization technique that creates a rule dependency graph.…”

Section: Related Workmentioning

confidence: 99%

“…Hassanpour et al [7] shows a visualization technique that creates a rule dependency graph. This method groups graph nodes into layers, based on their dependencies, clustering nodes within a layer if they have similar dependencies.…”

Section: Related Workmentioning

confidence: 99%

User Extensible System to Identify Problems in OWL Ontologies and SWRL Rules

Orlando

Musen

Moreira

2015

Lecture Notes in Computer Science

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Abstract. The Semantic Web uses ontologies to associate meaning to Web content so machines can process it. One inherent problem to this approach is that, as its popularity increases, there is an ever growing number of ontologies available to be used, leading to difficulties in choosing appropriate ones. With that in mind, we created a system that allows users to evaluate ontologies/rules. It is composed by the Metadata description For Ontologies/Rules (MetaFOR), an ontology in OWL, and a tool to convert any OWL ontology to MetaFOR. With the MetaFOR version of an ontology, it is possible to use SWRL rules to identify anomalies in it. These can be problems already documented in the literature or user defined ones. SWRL is familiar to users, so it is easier to define new project specific anomalies. We present a case study where the system detects 9 problems, from the literature, and two user defined ones.

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A Semantic Approach to Multi-parameter Personalisation of E-Learning Systems

Al-Chalabi

Apoki

2021

Modelling and Development of Intelligent Systems

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Visualizing Logical Dependencies in SWRL Rule Bases

Cited by 13 publications

References 7 publications

A method to assist in the proper management of rule bases in Web information systems

A method to assist in the proper management of rule bases in Web information systems

User Extensible System to Identify Problems in OWL Ontologies and SWRL Rules

A Semantic Approach to Multi-parameter Personalisation of E-Learning Systems

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