SWRL: Rule Acquisition Using Ontology

Original scientific paper Open Government Ontology proposed in this paper is an extensive ontology aimed at modelling a wide range of Open Government services. Semantic model of the Open Government opens possibilities for the integration with other semantic and information models, and enables semantic reasoning and resource discovery. Characteristics of the Open Government are transparency, participation and collaboration. Main components of the Open Government are Open Architecture, Open Data and Open Standards. Organizational structure of the Open Government consists of the internal government organizations, associated domains and Open (e)Government services. Open Government Ontology can be used as a semantic meta-data repository for the (e)Government and Open (e)Government services. Using formal methods of reasoning with the proposed ontology we can search for information about Open (e)Government services and infer on gathered knowledge. Also Open Architecture Ontology can be used as Information Architecture framework for the creation of these services as was the case regarding Montenegrin Semantic Science Network.

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“…For this purpose we used Protégé SWRLDrools Tab plug-in. [46]. The SWRLDroolsTab uses an OWL 2 RL-based reasoner.…”

Section: An Example Of the Model Applicationmentioning

confidence: 99%

Semantic modelling and ontology integration of the open government systems

2016

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“…It consists of classes sometimes called concepts; properties of each concept describing various features and attributes of the concept called slots, roles or properties; and restrictions on slots called facets or role restrictions. The main advantage of ontology-based systems is the ability of communication and sharing knowledge between people and between computer systems [10]. Despite several other applications, an ontology is mainly used to share a common understanding of the structure of information among people or software agents [11].…”

Section: F Ontologymentioning

confidence: 99%

Ontology Building Using Data Mining Techniques

Gorskis¹,

Chizhov²

2012

Information Technology and Management Science

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This paper deals with certain data mining techniques in order to discover their potential for use in automated ontology building. The end goal is the reduction in the time requirement for the construction of any given ontology and necessity for expert consultation. This can be achieved by combining data mining and ontology engineering. The aim of this paper is to take a deeper look at potentially useful data mining techniques for an automated ontology building process, to research related publications in this field and to propose ideas on how to use data mining techniques in ontology building.

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