Ontology Application for the Al-Quran

Knowledge is related to data and information that already modified. Knowledge management can be shared and interlinked. For broader scope, it can be used to structure the ontology. The use of ontology on knowledge helps users to understand the structure easier. The important matter in ontology is represented by showing the relation among classes in domain. When the relation is already identified, then the structure of ontology for the Al-Quran can be modeled. Protégé is used to model the structure of ontology. Then, the pray visualization form will be produced. This structure of ontology will assists in sharing knowledge

An Ontology for Autonomic License Management

The license agreement can be seen as the knowledge source for a license management system. As such, it may be referenced by the system each time a new process is initiated. To facilitate access, a machine readable representation of the license agreement is highly desirable, but at the same time we do not want to sacrifice too much readability of such agreements by human beings. Creating an ontology as a formal knowledge representation of licensing not only meets the representation requirements, but also offers improvements to knowledge reusability owing to the inherent sharing nature of such representations. Furthermore, the XML-based ontology languages such as OWL (Web Ontology Language) can be user friendly for the non-developers who are often those responsible for implementing and managing such license agreements. This paper shows our use of ontology to represent the license agreement in a development prototype. The ultimate goal is to build ontology for the license management domain that will facilitate autonomic knowledge management. Knowledge based on such ontology can then be shared and utilized by many types of license management system

Trust based decision making approach for protein ontology

Biomedical Knowledge of Proteomics Domain is represented in the Protein Ontology, whose instantiations, which are undergoing evolution, need a good management and maintenance system. Protein Ontology instantiations signify information about proteins that is shared and has evolved to reflect development in Protein Ontology Project and Proteomics Domain itself. In this paper we explore the development of a conceptual framework for Protein Ontology instantiations management by using the concepts of trust and reputation in Biomedical Domain. The developed and engineered ontology approach is trustworthy and facilitates reliable additions and updates to the Protein Ontology

Ontology Application for the Hajj

In this our dynamic world, knowledge is related to data and information that already exist, and knowledge management can be shared and interlinked. In a broader scope, it can be used to structure ontology. The use of ontology on knowledge helps users to understand the structure easier. The important matter in ontology is represented by showing the relations among classes in domain. When the relation is already identified, then the structure of ontolopy for the knowledge domain (i.e. Al-Hajj) can be modelled. Protege is used in this work to model the structure of ontology. This structure of ontology will assists in sharing knowledge about Al-Hajj

A Framework towards an Internalization Structure Using Document Repositories in the Context of a Knowledge Management Strategy: a Case Study of the First Colorado Title

Knowledge management is a key to creating efficiency and consistency within an organization. Title examiners review documents that may affect the issuance of title insurance. Some documents may affect many properties and thus are reviewed many times. This paper seeks to develop a framework that will enable the knowledge gained by the first review of the document to be captured and shared. Exploring the ontology of the title insurance industry with respect to title searching and examinations through the development of a concept map was the first step. Surveying the members of the title department provided the specifics for the framework. This study can be useful to any title insurance administrator that is seeking an ontology model for knowledge management

Multi-site software engineering ontology instantiations management using reputation based decision making

In this paper we explore the development of systems for software engineering ontology instantiations management in the methodology for multi-site distributed software development. Ultimately the systems facilitate collaboration of teams in multi-site distributed software development. In multi-site distributed environment, team members in the software engineering projects have naturally an interaction with each other and share lots of project data/agreement amongst themselves. Since theyare not always residing at the same place and face-to-face meetings hardly happen, there is a need for methodology and tools that facilitate effective communication for efficient collaboration. Whist multi-site distributed teams collaborate, there are a lot of shared project data updated or created. In a large volume of project data, systematic management is of importance. Software engineering knowledge is represented in the software engineering ontology whose instantiations, which are undergoing evolution, need a good management system. Software engineering ontology instantiations signify project information which is shared and has evolved to reflect project development, changes in the software requirements or in the design process, to incorporate additional functionality to systems or to allow incremental improvement, etc

Integrating descriptions of knowledge management learning activities into large ontological structures: A case study

Ontologies have been recognized as a fundamental infrastructure for advanced approaches to Knowledge Management (KM) automation, and the conceptual foundations for them have been discussed in some previous reports. Nonetheless, such conceptual structures should be properly integrated into existing ontological bases, for the practical purpose of providing the required support for the development of intelligent applications. Such applications should ideally integrate KM concepts into a framework of commonsense knowledge with clear computational semantics. In this paper, such an integration work is illustrated through a concrete case study, using the large OpenCyc knowledge base. Concretely, the main elements of the Holsapple & Joshi KM ontology and some existing work on e-learning ontologies are explicitly linked to OpenCyc definitions, providing a framework for the development of functionalities that use the built-in reasoning services of OpenCyc in KM ctivities. The integration can be used as the point of departure for the engineering of KM-oriented systems that account for a shared understanding of the discipline and rely on public semantics provided by one of the largest open knowledge bases available

Transformation From Business Process Models To Process Ontology: A Case Study

Business process modeling is utilized by organizations for defining and reengineering their business processes. On the other hand, ontologies are developed to strengthen shared understanding between people, organizations and software systems and ease reuse. From knowledge management point of view, both are efficient tools for creating knowledge. A tool supported transformation from process models to ontology could enhance the benefits gained from both and increase development efficiency and consistency. This study aims to demonstrate such an automated transformation on a real case. Within the study, a case study is performed to enable this transformation manually from business process models defined with eEPC language to a process ontology and an algorithm is designed and implemented for automated transformation

CONGAS: a collaborative ontology development framework based on Named GrAphS

The process of ontology development involves a range of skills and know-how often requiring team work of different people, each of them with his own way of contributing to the definition and formalization of the domain representation. For this reason, collaborative development is an important feature for ontology editing tools, and should take into account the different characteristics of team participants, provide them with a dedicated working environment allowing to express their ideas and creativity, still protecting integrity of the shared work. In this paper we present CONGAS, a collaborative version of the Knowledge Management and Acquisition platform Semantic Turkey which, exploiting the potentialities brought by recent introduction of context management into RDF triple graphs, offers a collaborative environment where proposals for ontology evolution can emerge and coexist, be evaluated by team users, trusted across different perspectives and eventually converged into the main development stream