WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 12, 2015
POKMS: A Process-Oriented and Ontology-Based Knowledge Management System in Exploration and Development
Authors: , , ,
Abstract: As information technologies have become widely applied enabling technologies in different engineering disciplines such as oil/gas exploration and development, various (especially legacy) applications are deployed with different data models and they constitute a business process that must be accomplished through the coordination and cooperation of different specialized departments. However, heterogeneous data sources together with different data models give rise to two key challenges in automating the process. First, acquiring and standardizing data is error-prone. The second, and more important, challenge is that small human errors will affect decision significantly. Without a domain-specific business process enabling platform, decision makers could not acquire progresses on each activity in time, and thus delaying the transferring and sharing of the produced results among different departments. In this paper, we propose POKMS, a process-oriented and ontology-based approach for knowledge management and heterogeneous data integration. POKMS first automatically builds the exploration and development ontology from the epicentre data model, which is a global petroleum industry data model published by the petro-technical open standards consortium. Subsequently, POKMS uses the domain ontology to define the basic entities in business process modeling. Following this approach, we built a web-based knowledge service platform providing graphical tools for users to visually design the business processes. Using this platform, decision makers can acquire progresses on each activity instantly, thereby timely transferring and sharing results produced by each activity among departments, experts, and non-experts. Furthermore, end users, in particular non-experts, can reuse the domain knowledge and monitor the processes of the ongoing projects, and thus help improve the efficiency of decision making.
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Pages: 254-268
WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 12, 2015, Art. #25