Abstract
In Digital Library, information is often stored in unstructured and semi-structured textual form. Domain modeling techniques are used for specific domain knowledge services in order to make use of the massive amounts of textual information. Ontology is an efficient way to build specific domain model for abstraction of concepts and relations. In this , we propose an ontology-based domain modeling framework, CADAL-ODM, to structure domain model. CADAL-ODM is designed to provide multi-level and multi-granularity knowledge services in order to meet the various requirements of users in digital library instead of basic reading service. We explain our work by which knowledge is extracted automatically from the unstructured and semi-structured documents. Specific domain model is structured by specific domain ontology description and extracted knowledge. We evaluate the framework with real data sets, specifically, the medical records of TCM documents set from CADAL.
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Acknowledgments
This research was supported by Chinese Knowledge Center of Engineering Science and Technology (CKCEST) and China Academic Digital Associative Library (CADAL).
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Wang, W., Zhang, Y., Wei, B., Li, Y. (2014). An Ontology-Based Domain Modeling Framework for Knowledge Service in Digital Library. In: Wen, Z., Li, T. (eds) Knowledge Engineering and Management. Advances in Intelligent Systems and Computing, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54930-4_38
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DOI: https://doi.org/10.1007/978-3-642-54930-4_38
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