Model Composition Via Object-Role Modeling

Taylor, Lamar; Sharma, Sharad

doi:10.1109/secon.2018.8478867

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…For this reason, we have chosen object-role modeling (ORM) to represent the concepts graphically. ORM originated as a semantic modeling approach in the early 1970s, which views the world clearly in terms of objects playing roles [15], [16]. ORM is a conceptual modeling language and its constraints that impose on concepts are very similar to the in restrictions OWL language [17], [18].…”

Section: Phase 2: Ontology Modeling Phasementioning

confidence: 99%

Building Quranic stories ontology using MappingMaster domain-specific language

Alsalhee

Abdullah²

2022

IJECE

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<p>The Holy Quran, due to it is full of many inspiring stories and multiple lessons that need to understand it requires additional attention when it comes to searching issues and information retrieval. Many works were carried out in the Holy Quran field, but some of these dealt with a part of the Quran or covered it in general, and some of them did not support semantic research techniques and the possibility of understanding the Quranic knowledge by the people and computers. As for others, techniques of data analysis, processing, and ontology were adopted, which led to directed these to linguistic aspects more than semantic. Another weakness in the previous works, they have adopted the method manually entering ontology, which is costly and time-consuming. In this paper, we constructed the ontology of Quranic stories. This ontology depended in its construction on the MappingMaster domain-specific language (MappingMaster DSL)technology, through which concepts and individuals can be created and linked automatically to the ontology from Excel sheets. The conceptual structure was built using the object role modeling (ORM) modeling language. SPARQL query language used to test and evaluate the propsed ontology by asking many competency questions and as a result, the ontology answered all these questions well.</p>

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Section: Phase 2: Ontology Modeling Phasementioning

confidence: 99%

Building Quranic stories ontology using MappingMaster domain-specific language

Alsalhee

Abdullah²

2022

IJECE

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“…As a result, object-role modeling (ORM) was used to graphically represent the concepts. ORM began in the early 1970s as a semantic modeling method that observes the world in terms of objects fulfilling roles [11,12]. ORM is a conceptual modeling language that imposes constraints on ideas that are very similar to OWL [13,14].…”

Section: Phase 3: Ontology Modelingmentioning

confidence: 99%

Ontology-Based Knowledge Flow Model Design to Develop Global Virtual Team (GVT) Performance

2022

Basrah Researches Sciences

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Global virtual teams (GVTs) have grown in popularity as a result of increased globalization and advancements in communication technologies. GVTs are playing an increasingly important role. Little is known about its strategy, dynamics, or efficacy in global organizations. Many researchers have focused on virtual teams but have not supported semantic search techniques and the ability of GVT knowledge to be understood by people and computers. This study was therefore aimed at building an ontology-based knowledge flow model for improving GVT performance. The Mapping Master domain-specific language (Mapping Master DSL) technology was used to build the ontology. It enables the creation and linking of concepts and individuals to the ontology using Excel sheets. The conceptual framework was built using the object role modeling (ORM) language. The SPARQL query was used to test and evaluate the proposed ontology..

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Model Composition Via Object-Role Modeling

Cited by 2 publications

References 12 publications

Building Quranic stories ontology using MappingMaster domain-specific language

Building Quranic stories ontology using MappingMaster domain-specific language

Ontology-Based Knowledge Flow Model Design to Develop Global Virtual Team (GVT) Performance

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