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Parallel Approaches to Neighborhood Rough Sets: Classification and Feature Selection Read chapter Read first chapter

2014 | OriginalPaper | Chapter

An Ontology-Based Domain Modeling Framework for Knowledge Service in Digital Library

Authors : Wei Wang, Yin Zhang, Baogang Wei, Yiming Li

Published in: Knowledge Engineering and Management

Publisher: Springer Berlin Heidelberg

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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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previous chapter Improvement of Soluble Solids Content Prediction in Navel Oranges by Vis/NIR Semi-Transmission Spectra and UVE-GA-LSSVM
next chapter A New Two-Dimension Model of Evaluating the Quality of Distance Education
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Metadata
Title
An Ontology-Based Domain Modeling Framework for Knowledge Service in Digital Library
Authors
Wei Wang
Yin Zhang
Baogang Wei
Yiming Li
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Knowledge Engineering and Management

Print ISBN: 978-3-642-54929-8

Electronic ISBN: 978-3-642-54930-4

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-642-54930-4_38

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