• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.2
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• pp.296-301
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• 2012

Currently, in order to develop an intelligent search engine to help users retrieve information effectively, many metodes have been used. The effective retrieval methods of these methods use ontology technology. Ontology technology is the core of the Semantic Web. In the Semantic Web, ontology technology can be used to retrieve related information through the inference engine more accurately and simply on the Semantic Web. In this paper, we implement and design college information retrieval based on ontology to retrieve college class, graduate school class and person class. We have collected the hierarchy structure about the College, graduate school and person informations, and we have used protege editor of the ontology developing tool to design some ontologies with the College informations collected. We also tested the designed ontology with the Inference Engine(Pellet) of protege editor, and implemented college information retrieval system using Inference Engine(Jena) for web services.

• Journal of KIISE:Software and Applications
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• v.32 no.6
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• pp.461-472
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• 2005

In this paper, we design and implement a graphical bio-ontology management system based on OWL(Web Ontology Language). It allows domain experts to easily manage sophisticated bio-ontologies in which biological knowledge is encoded. The knowledge can be seamlessly modeled into the ontology by well defined graphical notations, which capture most of subtle semantics inherently existing between biological terms. Our system provides a new construction mechanism, which can determine a considerable part of relationships between terms by their inheritance and inverse-inheritance. For keeping their semantics to be consistent, the mechanism supplies domain experts with information available from relationships being constructed or already constructed. The constructed ontology is basically formatted by OWL, which may benefit from its powerful semantic expressiveness. Additionally, it can be automatically translated into other standard languages without semantic loss, such as RDF/RDFS, DAML+OIL and so on. The main characteristics of our system is that it enables domain experts to delicately model the bio-ontology by the visualized construction mechanisms adopting well-defined graphical notations based on OWL.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.3
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• pp.328-335
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• 2007

Ontology is represented by the shared concepts and relations among those. Many studies have been actively working on sharing human's knowledge with that of systems by using it. For a typical example, there is the design and implementation of ontology system for image understanding. However conventional studies on ontology-based image understanding have proposed not concrete methods but conceptual idea. In this paper, we propose an ontology-based image understanding system with following four processes: i)knowledge representation of a specific domain by the ontology, ii)feature extraction of objects through image processing and image analysis, iii)image interpretation by object features, and iv)reduction of ambiguity existing in image interpretation by ontology reasoning. We implement an image understanding system based on the proposed processed, and show the effectiveness of the proposed system from experimental results in a specific domain.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.1
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• pp.57-81
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• 2019

An ontology is a complex structure dictionary that defines the relationship between terms and terms related to specific knowledge in a particular field. There have been attempts to construct various ontologies in Korea and abroad, but there has not been a case in which a large scale crime investigation record is constructed as an ontology and a service is implemented through the ontology. Therefore, this paper describes the process of constructing an ontology based on information extracted from instrusion theft field of unstructured data, a crime investigation document, and implementing an ontology-based search service and a crime spot recommendation service. In order to understand the performance of the search service, we have tested Top-K accuracy measurement, which is one of the accuracy measurement methods for event search, and obtained a maximum accuracy of 93.52% for the experimental data set. In addition, we have obtained a suitable clue field combination for the entire experimental data set, and we can calibrate the field location information in the database with the performance of F1-measure 76.19% Respectively.

• Journal of The Korean Association of Information Education
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• v.8 no.3
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• pp.353-360
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• 2004

World Wide Web is not more meaningless sea of information but is becoming the Semantic Web that provides many users with meaningful information. The starting point is the XML and metadata, RDF is a stopover which gives technique to relate arbitrary web resources. And now, the semantic and logic of web resources can be settled in the Ontology. A lot of educational multimedia web resources in Korea have produced their metadata with KERIS's KEM(Korea Educational Metadata). Therefore our country have to start the study of the semantic and logic in web resources. But, many researchers in Korea are more eager to study Dublin Core's DC and SCORM's LOM metadata specification than KEM. Thus the study of method about sharing and integrating these three metadata specifications should be performed before the study of semantic and logic in web resources in Korea. We design the Ontology to integrate these three metadata specifications and implement the prototype system using this Ontology. These three metadata have some elements that have same labels and meanings, and other elements have different labels and same meanings. To match these different labels which have same meanings, we adapted the one-to-one mapping technique in designing our Ontology. This designed Ontology was imported as "integrated schema" in our prototype searching system to integrate three different metadata in databases. Moreover we know that the more specific property design of class in Ontology was needed in order to provide users with more informed searching results such as synonym, antonym, hierarchy and associations.

• Journal of the Korean Society for information Management
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• v.24 no.3
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• pp.343-362
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• 2007

The purpose of this study is to design and implement an ontology-based retrieval system for the electronic records of universities and to compare its performance with the existing keyword-based retrieval system. We used OntoStudio 1.4 for implementing an ontology-based retrieval system, and the test collection consisted of the following: (1) 5,099 electronic records of the 'personnel management notification' created by Korea Maritime University, (2) 20 topics (10 short-topics and 10 long-topics), and (3) the relevant assessments were conducted by the group of human experts. 10 university staff participated in the experiment of keyword-based searching and used the same test collection as used in the experiment of ontology-based searching. The ontology-based retrieval system outperformed to the keyword-based retrieval system in terms of Recall and Precision, and the same results showed in the test of the short-topics and long-topics comparison.

• The Journal of Society for e-Business Studies
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• v.10 no.3
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• pp.1-19
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• 2005

Ontology-based approaches for automated information integration are being widely investigated. The existing approaches explicitly represent the semantics of information sources in ontologies and let the computer system, through aligning or merging the source ontologies, provide a global view of information sources. The problem of aligning or merging different ontologies is a well known problem, and the inter-ontology mappings play an essential role in information integration. To enable simple and well-founded mappings , the ontologies of information sources should be modeled with the same world view and with the same manner of representation. This paper introduces an ontology modeling framework for component libraries, which is developed based on the Guarino's theory of upper ontology . This paper discusses the results of modeling ontologies of mold and die component libraries based on the framework. A Web-based implementation automatically merges the source ontologies.

• Journal of Internet Computing and Services
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• v.4 no.4
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• pp.1-8
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• 2003

As the multimedia information retrieval system is advanced, the study of multimedia information retrieval is changing the method of low-level content based image retrieval to the semantical concept based retrieval. in this paper, we apply the theory of ontology to overcome the conceptual heterogeneity in the annotation based image retrieval. And we solve the some problems that happen when the ontology apply. As a result of our study, we try to apply the domain ontology to settle the conceptual heterogenity. In the experimental result, we knew that the semantic distance among the words is pretty dose when we apply the domain ontology than the wordnet. And in this paper, we show the possibility of the semantic image retrieval as we apply the domain ontology in the annotation based image retrieval.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.81-107
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• 2015

This study describes the Bottom-up method for implementation of an ontology system from the RDB. The STNet, a structured terminology glossary based on RDB, was served as a test bed for converting to RDF ontology, for generating the inference rules, and for evaluating the results of the semantic search. We have used protege editor of the ontology developing tool to design ontologies with test data. We also tested the designed ontology with the Inference Engine (Pellet) of protege editor. The generated reference rules were tested by TBox and SPARQL queries through STNet ontology. The results of test show that the generated reference rules were verified as true and STNet ontology were also evaluated to be useful for searching the complex combination of semantic relation.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.91-104
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• 2007

Ontology matching technique is one of the most important techniques in the Semantic Web as well as in other areas. Ontology matching algorithm takes two ontologies as input, and finds out the matching relations between the two ontologies by using some parameters in the matching process. Ontology matching is very useful in various areas such as the integration of large-scale ontologies, the implementation of intelligent unified search, and the share of domain knowledge for various applications. In general cases, the performance of ontology matching is estimated by measuring the matching results such as precision and recall regardless of the requirements that came from the matching environment. Therefore, most research focuses on controlling parameters for the optimization of precision and recall separately. In this paper, we focused on the harmony of precision and recall rather than independent performance of each. The purpose of this paper is to propose a methodology that determines parameters for the desired ratio of precision and recall that is appropriate for the requirements of the matching environment.