• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.363-365
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• 2004

Ontology is an essential component of the semantic web and it continue to change and evolve. We study a set of changes based on domain changes, changes in conceptualization, metadata changes, and time dimension. Ontology versioning brings about massive amount of versions to be stored and maintained. We present several storage policies and conduct a set of experiments to compare the performance of each storage policies.

• Electronics and Telecommunications Trends
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• v.25 no.2
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• pp.112-120
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• 2010

최근 들어 웹서비스는 그 발전 과정에서 SOAP 기반의 웹서비스와 RESTful 기반의 웹 서비스로 양분화되어 제공되고 있다. 서비스 인터페이스를 구현 로직으로부터 분리하는 웹서비스의 기본 개념을 따르면서 SOAP 기반의 웹서비스는 비즈니스 플로 처리를 위한 서비스 상호 연동에 주로 이용되고, RESTful 웹서비스는 데이터 접근에 주로 이용된다. 본 고에서는 SOAP 기반 웹서비스와 RESTful 웹서비스를 더 이상 구분하지 않고 통합하여 검색하거나 조합하고자 하는 시도의 첫 걸음으로 서비스 구조, 구현 기술, 사용 방법, 시맨틱 서비스화 연구의 관점에서 두 웹서비스를 비교하고자 한다.

• Journal of Korean Library and Information Science Society
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• v.45 no.2
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• pp.235-260
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• 2014

This study aims to apply the concept of Internet of things to library and interpret a library as ecological space where human, thing and data are communicating and organically networking through internet. First, we defined various things existing in physical spaces of the real world and internet spaces as elements of Internet of Things. Then we proposed to apply a semantic web platform to integrate different meta-data formats and communication protocols from things. Finally, we provide the model of Internet of Things based on Semantic web to utilize a variety of information from things for library management and user service.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.626-628
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• 2014

The Information retrieval system is more accurate of the information for you want to search, and quickly delivered. But the current search system is a simple way to parse on users fail to provide accurate information. This paper describes the ontology servers retrieve information through the system. Proposed system is Semantic Web-based information retrieval techniques in addition to structured documents using a variety of formats to maximize their data processing. In addition, interoperability and data integration RDF (Resource Description Framework) for saving documents by supporting rapid and accurate information retrieval. This supports a variety of Web browsers on the Web will be utilized in the field of efficient data retrieval.

• Journal of the Korea Society of Computer and Information
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• v.16 no.7
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• pp.95-103
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• 2011

The actual utilization of Semantic Web technology which aims to provide more intelligent and automated service for information retrieval over the Web becomes gradually reality. RDF is widely used as the one of standard formats to present and manage the voluminous data on the Web. Efficient query processing on RDF data, therefore, is one of the ongoing research topics. Retrieving resources having a specific association from a given resource is the typical query processing type and several researches for this have done. However the most of previous researches have not fully considered discovering the complex relationship among resources such as returning the association between resources as the query processing result. This paper introduces the indexing and query processing for ${\rho}$-intersect operation which is one of the semantic association retrieval types. It includes an indexing scheme using suffix array and optimal processing approaches for handling ${\rho}$-intersect operation. The experimental evaluations shows that the average execution times for the proposed approach is 3~7 times faster than the previous approach.

• Journal of KIISE
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• v.41 no.9
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• pp.686-698
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• 2014

Recently, large-scale streaming sensor data have emerged due to explosive supply of smart phones, diffusion of IoT and Cloud computing technology, and generalization of IoT devices. Also, researches on combination of semantic web technology are being actively pushed forward by increasing of requirements for creating new value of data through data sharing and mash-up in large-scale environments. However, we are faced with big issues due to large-scale and streaming data in the inference field for creating a new knowledge. For this reason, we propose the RDFS rule based parallel reasoning scheme to service by processing large-scale streaming sensor data with the semantic web technology. In the proposed scheme, we run in parallel each job of Rete network algorithm, the existing rule inference algorithm and sharing data using the HBase, a hadoop database, as a public storage. To achieve this, we implement our system and evaluate performance through the AWS data of the weather center as large-scale streaming sensor data.

• Journal of the Korea Society of Computer and Information
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• v.16 no.7
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• pp.35-47
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• 2011

This paper proposes a set of rules to automatically generate OWL ontologies from relational databases. The purpose of the rules is to allow semantic access to existing RDB data without any database schema transformation and data migration process. In other words, the rules help a RDBMS play as a web ontology repository as well. However, the use of the mapping rules between RDB and OWL proposed by other studies for the objective causes troubles as follows. First, databases including the tables with a specific structure can't be translated into OWL. Second, the process for extracting an OWL individual unnecessarily lead to database join operations, or several SQL queries. On the other hand, our rules is designed to prevent these problems, can generate OWL classes and properties from database schemas and can generate OWL individuals from the database instances. In addition, an ontology generated by our rules is an OWL 2 DL ontology.

• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.23-33
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• 2014

The development of the information retrieval field is evolving to the research field searching accurately for the information from thing finding rapidly a large amount of information. Personalization and the semantic web technology is a key technology. The automatic indexing technology about the web document and throughput go beyond the research stage and show up as the practical service. However, there is a lack of research on the document information retrieval field about the attached document type of except the web document. In this paper, we illustrate about the method in which it analyzed the text content of the unstructured documents prepared in the text, word, hwp form and it how to construction OWL ontology. To build TBox of the document ontology and the resources which can be obtained from the document is selected, and we implement with the system in order to utilize as the instant of the constructed document ontology. It is effectually usable in the information retrieval and document management system using the semantic technology of the correspondence document as the ontology automatic construction of this kind of the unstructured documents.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.6
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• pp.187-193
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• 2008

Nowadays, the study on e semantic web has been actively progressing for processing the web data semantically. For actualizing the semantic web environment, the core task is to build the ontology that defines the concepts and relations between concepts about the all things. Many ontology languages such as OWL, RDF(S), DAML+OIL were developed for building the ontology. And the many ontology tools were also implemented based on them. Although, many language and tools were researched, the practical use of the ontology tools is limited to the experts and researchers about the ontology because of the difficulty of the vocabulary, weak understanding about the ontology theory and the difficulty of the use of the ontology tools. And there are no studies on the reuse of constructed huge ontology. Therefore, in our study we design and implement the OWL ontology management tool that both the ontology experts and general users who want to build the ontologies are able to construct the ontology easily In this paper, we introduce the main modules used in our tool and features of our tool.

• Annual Conference on Human and Language Technology
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• 2008.10a
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• pp.103-108
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• 2008

주제어는 정보 서비스를 비롯한 여러 응용 분야들에서 유용하게 사용되는 지식이지만, 주제어 간 관계가 다양할 뿐만 아니라 목적에 맞도록 개별적으로 설계됨으로써 주제어 관계 속성 유형과 무관하게 공유가 가능한 주제어 공통 표현 모델이 제시되지 못하였다. 본 연구는 응용 분야, 온톨로지 종류와 무관하게 적용될 수 있으며 시맨틱 웹 서비스 간 공유가 가능한 주제어 공통 표현 모델을 제시하고자 한다. 이를 위해, 주제어 관계를 범용 클래스로 정의하고, 주제어 관계 속성 유형을 데이터타입 속성 (Datatype Property)으로 선언하였다. 또한, 주제어 역시 그 속성 유형을 데이터타입 속성으로 선언하였는데, 결국 다양한 유형의 관계들을 용이하게 표현할 수 있도록 하기 위한 것이다. 실험을 위해 주제어 간 관계수가 70,804,233개이며 주제어 관계 속성 유형이 4가지인 과학 기술 기반 정보 온톨로지와 주제어 간 관계수가 44,147개이며 주제어 관계 속성 유형이 13가지인 표준 정보 온톨로지를 대상으로 본 연구에서 제안한 주제어 공통 표현 모델을 적용하였으며 총 284,744,802개의 RDF(Resource Description Framework) Triple을 생성하였다.