In this paper we present an overview of the definitions of the terms of trust and reputation from the literature. Trust and reputation have been defined in different ways by the various researchers. As a result of these various definitions of trust and reputation there is a lot of confusion regarding what these terms actually mean. Additionally in the literature there is no work towards collecting all the definitions of trust and reputation. In this paper we discuss and present an overview of the terms of trust and reputation from the literature.
Protégé is a set of open-source ontology design software developed in Stanford Medical Informatics. SPARQL (Protocol and RDF Query Language) is recommended by W3C, to represent the RDF (Resource Description Framework) graph-a set of triples that consist of a subject, a predicate and an object as the basic expression of data stored in OWLbased knowledge base. In this paper, we propose an ontology-based project knowledge management methodology, by means of Protégé and SPARQL, to solve the issues in project management activities. By introducing a set of new ontology notations, we present the conceptual model of our ontology to realize the function of knowledge management in project organizations. Following that, we realize the prototype in Protégé and validate it by means of SPARQL. Finally we make comments on our project and plan our future work.
Abstract-Along with the evolution of Digital Ecosystem, in regards to its definition, two different theories have emerged, respectively from Soluta.net and from Digital Ecosystem and Business Intelligence Institute. This is paper explains the differences between the two theories and more importantly proposes a ontology-based conceptual representation for the concept of Digital Ecosystem with the purpose of helping researchers in the field to better understand the notion of Digital Ecosystem. In addition, we will introduce a simple ontology notation system, as the basis of our ontology model.
Biomedical Ontologies are huge. It is not possible for any one person to manage and engineer a complete ontology. They would need the help of Research Assistants and other people to develop and maintain the ontology. In the process of developing and maintaining the ontology the Research Assistants may enter incorrect data, resulting in low quality of the ontology. In this paper we will propose a conceptual framework to solve these ontology management and ontology development issues. There can be N assistants entering data into the ontology. All the data entered initially is stored in an intermediate ontology. The administrator of the ontology has a set of rules, which makes a checklist that checks and validates the data in intermediate ontology for correctness according to the ontology schema. We use the Case Study of Protein Ontology for this proposed approach to develop interfaces for assistants and administrators. The proposed approach can easily be extended to other biomedical ontologies just by tweaking the administrator rule set according to the ontology.
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