Abstract
In this chapter we present a new approach to development of modularized knowledge bases. We argue that modularization should start from the very beginning of modeling, i.e. from the conceptualization stage. To make this feasible, we propose to exploit a context-oriented, semantic approach to modularization. This approach is based on the Structural Interpretation Model (SIM) presented earlier elsewhere. In the first part of thischapter we present a contextualized version of the SYNAT ontology developed using the SIM methodology. For the approach to be useful in practice, a set of tools is needed to enable a knowledge engineer to create, edit, store and perform reasoning over contextualized ontologies in a flexible and natural way. During our work on the SYNAT project, we developed such a set of tools that are based on a mathematical ground of tarset algebra (also introduced elsewhere). In the second part of this chapter we give a deeper insight into some aspects of using these tools, as well as into ideas underlying their construction. The work on contextualization of knowledge bases led us to further theoretical investigation of hierarchical structure of a knowledge base systems. Indeed, in a system of heterogeneous knowledge sources, each source (a knowledge base) can be seen in its own separate context, as being a part of a higher level contextual structure (a metastructure) with its own set of context parameters. Higher levels of the knowledge hierarchy do not substantially differ from basic SIM structure, so that all context-aware services, including reasoning, can be performed. The theoretical background of this conception is presented in the third part of this chapter.
This work was partially supported by the Polish National Centre for Research and Development (NCBiR) under Grant No. SP/I/1/77065/10 within the strategic scientific research and experimental development program: “SYNAT-Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.
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Acknowledgments
We want to thank Professor Wierzbicki for his comment to our presentation during the last SYNAT Workshop, which became a valuable inspiration for our further work.
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Goczyła, K., Waloszek, A., Waloszek, W. (2014). An Analysis of Contextual Aspects of Conceptualization: A Case Study and Prospects. In: Bembenik, R., Skonieczny, Ł., Rybiński, H., Kryszkiewicz, M., Niezgódka, M. (eds) Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation. Studies in Computational Intelligence, vol 541. Springer, Cham. https://doi.org/10.1007/978-3-319-04714-0_6
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