Abstract
One of the major challenges in a world of interconnected open systems, is to manage distributed information, stored as data in heterogeneous autonomous knowledge sources. Benefits for management can be gained from a sensible connection and integration of data offered by adequate access capabilities. Conceptual work and implementation experiences in the FAW-WINHEDA project, where goals are a better support of users in accessing and managing databases as knowledge sources, are reported in this paper. Management of data includes operations that render implicit knowledge explicit. An incremental approach is used for the user-initiated, application related knowledge integration. This leads to a significant increase of accessible knowledge by means of a semantically rich representation.
The first application prototype incorporates on-line access from the KEETM system (Knowledge Engineering Environment), based on HP-UX and X-Windows on a HP workstation, to two relational databases in the field of water conservation of the state of Baden-Württemberg. The communication to a SUN workstation, running SUN-OS, with the ORACLE database is based on TCP/IP as means of communication to an IBM mainframe, running VM/SP, with the SQL/DS database. The representation and enhancements of database contents are based on an extended Entity-/Relationship-Model (ExER), which is represented in the KEETM frame system.
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© 1992 Springer-Verlag Berlin · Heidelberg
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Endrikat, A., Michalski, R. (1992). The WINHEDA Prototype: Knowledge-Based Access to Distributed Heterogeneous Knowledge Sources. In: Schader, M. (eds) Analyzing and Modeling Data and Knowledge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46757-8_18
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DOI: https://doi.org/10.1007/978-3-642-46757-8_18
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