OWL2Jess: A Transformational Implementation of the OWL Semantics

Mei, Jing; Bontas, Elena Paslaru; Lin, Zuoquan

doi:10.1007/11576259_65

Cited by 20 publications

(9 citation statements)

References 8 publications

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“…The OWL2JESS tool [11], permits the conversion of the OWL ontology code to JESS facts. The semantic predefined rules RDFS and OWL are used to verify the coherence and uniformity of the ontology [12]. This will permit to designed, evaluates and refine the original obtained ontology.…”

Section: Steam Turbine Ontology Operationsmentioning

confidence: 99%

Steam turbine diagnostic system based on a domain ontology implemented using J2EE technology

Klai

Tarek

Ringwood

2009

2009 3rd International Conference on Signals, Circuits and Systems (SCS)

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Abstract-This paper describes the design and the implementation of an aided diagnostic system based on a domain ontology and an expert system. A mono ontology obtained from multiple CCOs (Canonical Conceptual Ontologies) constitutes the knowledge base of the Expert System. The NCCO (Non Canonical Conceptual Ontology) are defined and used for realising inter-CCO mapping and to express the relationships between the COO. An expert system JESS (Java Expert System Shell) is integrated with the ontology. Knowledge inference is then possible to solve maintenance cases by given adequate diagnoses to given symptoms. The second aspect of the paper focuses on the possible enhancement and evolution of the developed ontology in order to take into account new maintenance cases. The complete system is developed following a J2EE (Java 2 Enterprise Edition) architecture.

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Section: Steam Turbine Ontology Operationsmentioning

confidence: 99%

Steam turbine diagnostic system based on a domain ontology implemented using J2EE technology

Klai

Tarek

Ringwood

2009

2009 3rd International Conference on Signals, Circuits and Systems (SCS)

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“…Reasoning Engine is implemented based on Jess rule engine[l0], [11]. The OWL2jess [12]is part of Context Translator.…”

Section: Architecture and Implementationmentioning

confidence: 99%

HCAM:A Context-aware Middleware to Support Logic-based Context Conflict Detection

Rao

You

2007

2007 Second International Conference on Communications and Networking in China

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Context conflict is a key problem since it often occurs in context-aware system when multiple users share the same context at the same time. Context conflict not only causes confusion in applications but also slows down efficiency of context-aware systems. To address these problems, we design a harmonious context-aware middleware (HCAM) and propose a logic-based approach for context conflict detection. Our contextaware middleware provides mechanisms that belong to the middleware layer to simplify development of applications. In our logic-based approach, based on rules representation, we give a classification of context conflict so that we can calculate basic context conflict information from the view of semantics of rules as well as from the view of business logic. Using the inferring axioms, we combine two views together and detect complete context conflict. Experiments show that our logic-based conflict detection approach avoids confusion in applications and reduces unnecessary execution of activated rules to improve efficiency of context-aware middleware.

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“…To feed the JESS memory with OWL knowledge, we have to convert OWL to JESS and back if the knowledge base is modified. In [11] Mei et al presented an OWL2JESS transformation tool, which derives facts from an initial OWL file by one XSLT style sheet, while the RDF(S) and OWL Semantics are pre-defined as Jess rules. Since external OWL knowledge files that can be edited with alternative tools is an elemental requirement and permanent transformations from OWL to JESS add an inefficient factor, we decided not to use JESS as rule engine in our ontological application framework.…”

Section: Ontoworkmentioning

confidence: 99%

Information Security Fortification by Ontological Mapping of the ISO/IEC 27001 Standard

Courtès

Hamouda

Kaâniche

et al. 2007

13th Pacific Rim International Symposium on Dependable Computing (PRDC 2007)

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OWL2Jess: A Transformational Implementation of the OWL Semantics

Cited by 20 publications

References 8 publications

Steam turbine diagnostic system based on a domain ontology implemented using J2EE technology

Steam turbine diagnostic system based on a domain ontology implemented using J2EE technology

HCAM:A Context-aware Middleware to Support Logic-based Context Conflict Detection

Information Security Fortification by Ontological Mapping of the ISO/IEC 27001 Standard

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