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Full-Text Articles in Computer Engineering
Ontology-Driven Semantic Data Integration In Open Environment, Islam M. Ali
Ontology-Driven Semantic Data Integration In Open Environment, Islam M. Ali
Electronic Thesis and Dissertation Repository
Collaborative intelligence in the context of information management can be defined as "A shared intelligence that results from the collaboration between various information systems". In open environments, these collaborating information systems can be heterogeneous, dynamic and loosely-coupled. Information systems in open environment can also possess a certain degree of autonomy. The integration of data residing in various heterogeneous information systems is essential in order to drive the intelligence efficiently and accurately. Because of the heterogeneous, loosely-coupled, and dynamic nature of open environment, the integration between these information systems in the data level is not efficient. Several approaches and models have …
Metadata Management For Clinical Data Integration, Ningzhou Zeng
Metadata Management For Clinical Data Integration, Ningzhou Zeng
Theses and Dissertations--Computer Science
Clinical data have been continuously collected and growing with the wide adoption of electronic health records (EHR). Clinical data have provided the foundation to facilitate state-of-art researches such as artificial intelligence in medicine. At the same time, it has become a challenge to integrate, access, and explore study-level patient data from large volumes of data from heterogeneous databases. Effective, fine-grained, cross-cohort data exploration, and semantically enabled approaches and systems are needed. To build semantically enabled systems, we need to leverage existing terminology systems and ontologies. Numerous ontologies have been developed recently and they play an important role in semantically enabled …
An Integrated View Of Data: Application Of Knowledge Modeling To Data Management, Sung-Kwan Kim, Wenjun Wang
An Integrated View Of Data: Application Of Knowledge Modeling To Data Management, Sung-Kwan Kim, Wenjun Wang
Journal of International Technology and Information Management
Data management has become an important challenge. Good data management requires an effective approach to collecting, storing, and accessing data across the enterprise. In this paper, a knowledge modeling approach to data management is introduced with an emphasis on data requirements analysis. A knowledge model can provide a high-level view of organizational data by specifying the structure and relationships of the knowledge contents used in business processes. The proposed knowledge modeling approach is business process oriented and decision oriented. The description of the knowledge contents in the model is based on ontological specification. The model is comprised of five elements: …