Ahlam Sawsaa

Building an Advance Domain Ontology Model of Information Science (OIS)

The paper describes the process of modelling domain knowledge of Information Science (IS) by creating an Ontology of Information Science domain (OIS). It also reports on the life cycle of the ontology building process using Methontology, based on the IEEE standard for development software life cycle process, which mainly consists of: specification, conceptualization, formalization, implementation, maintenance and evaluation. The information resource used in acquisition and evaluation has been obtained from Information Science. The conceptualization consists of identifying IS concepts and grouping them into a hierarchy tree based on a faceted classification scheme. The OIS ontology is formalized by using the ontology editor Protege to generate the ontology code. The achieved result is OIS ontology which has fourteen facets: Actors, Method, Practice, Studies, Mediator, Kinds, Domains, Resources, Legislation, Philosophy & Theories, Societal, Tool, Time and Space. The model is evaluated using ontology quality criteria to check the ontology’s usefulness, and how it could be transferred into application ontology for Information Science education.

Virtual Community of Practice Ontocop: Towards a New Model of Information Science Ontology ISO

Information Science IS is an ambiguous field as its boundaries overlap with other domains such as Archive Science, Library Science and Computing Science which requires defined clear definition. This study creates a systematic and comprehensive ontology targeted to explore IS boundaries and foundations. This paper uses Mereotopolgy theory to describe classes, instances and their relations. The classes are created based on taxonomy of IS to create an asserted model of Information Science Ontology ISO that can be as a skeletal foundation for knowledge base. The main classes are Actors, Method, Practice, Studies, Mediate, Kinds, Domains, Resources, Legislation, Philosophy & Theories, Societal, Time, and Space. The design is based on Methontology to create ISO from scratch. Its framework facilitates the construction of ontology at the knowledge levels. It is found that identifying the IS boundaries through implementation ontology workflow is encoded using Protege and Web Ontology Language OWL for formalizing and representation of the ISO. ISO is an effective way to represent knowledge and overcome semantic heterogeneity, ISO is a fundamental integration between semantic that realizes the interoperability information of the domain.

Modeling Domain Ontology for Occupational Therapy Resources Using Natural Language Programming NLP Technology to Model Domain Ontology of Occupational Therapy Resources

Creation and development of a formal domain ontology of Ocuupational Therapy OT requires the prescription and formal evaluation of the results through specific criteria. Methontology of development ontologies was followed to create OTO ontology, and was implemented by using Protege-OWL. Accuracy of OTO ontology was assessed using a set of ontology design cretria. This paper describes a software engineering approach to model domain ontology for occupational therapy resources OT using Natural Language Programming NLP technology. The rules were written to annotate the domain concepts using Java Annotation Patterns Engine JAPE grammar. It is used to support regular expression matching and thus annotate OT concepts by using the GATE developer tool. This speeds up the time-consuming development of the ontology, which is important for experts in the domain facing time constraints and high workloads. The rules provide significant results: the pattern matching of OT concepts based on the lookup list produced 403 correct concepts and the accuracy was generally higher. Using NLP technique is a good approach to reducing the domain experts work, and the results can be evaluated. This study contributes to the understanding of ontology development and evaluation methods to address the knowledge gap of using ontology in the decision support system component of occupational therepy.

Visualizing Information Science Knowledge by Modelling Domain Ontology (OIS)

Information Science (IS) is one of the areas that need a unified ontology model to facilitate information in order to access the heterogeneous data resources, and share a common understanding of the domain knowledge. The aim of the study is to develop a generic model of ontology that serves as a foundation of knowledge modelling for applications and aggregation with other ontologies. This study adopts the Methontology methodology to develop an Ontology of Information Science (OIS). To support ontology development, the virtual community of practice of Information science (Ontocop) was employed. The Ontology was coded using Protege and the OWL web ontology language. The main achievement of the study is that a new model of Information Science Ontology (OIS) has been constructed, which is a generic model that contains only the key objects and associated attributes with their relationships. The model defines the 706 concept, which will be widely used in Information Science applications. The research reveals that OIS ontology is a model that meets the ontology quality criteria for the subject area. It is concluded that OIS ontology unifies information science knowledge, which is composed of Library, Computer, and Archival science, by creating a theoretical base that is useful for further practical systems. The OIS ontology can be reused as the basis for any domain development.

Integrating Smartphone's Intelligent Techniques on Authentication in Mobile Exam Login Process

The emerging build-in sensing techniques create opportunities for Human-Computer Interaction capability of the mobile devices. This investigation explores novel build-in sensing techniques and relevant computation intensive algorithms to enhance the operational efficiency and usability of mobile applications. A case study on mobile application authentication involving touch screen manual input, camera barcode scanning, NFC recognition is implemented. Qualitative and quantitative evaluations on usability, efficiency, stability, and accuracy of user operation are examined on mainstream mobile platforms. Result illustrates the advantage of the proposed scheme and verifies the feasibility to enhance user-mobile interaction with mobile sensing techniques.