• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.123-142
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• 2012

To develop an intelligent search engine to help users retrieve information effectively, various methods, such as Semantic Web, have been used, An effective retrieval method of such methods uses ontology technology. In this paper, we built National R&D ontology after analyzing National R&D Information in NTIS and then implemented National R&D Knowledge Map to represent and retrieve information of the relationship between object and subject (project, human information, organization, research result) in R&D Ontology. In the National R&D Knowledge Map, center-node is the object selected by users, node is subject, subject's sub-node is user's favorite query in National R&D ontology after analyzing the relationship between object and subject. When a user selects sub-node, the system displays the results from inference engine after making query by SPARQL in National R&D ontology.

• Spatial Information Research
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• v.18 no.5
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• pp.83-92
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• 2010

Recently, as the Geospatial Web is combined with the Semantic Web in order to keep pace with the recent trends of information technology emphasizing interoperability, intelligence and individualization, the Geo Semantic Web was proposed, which is an intelligent geographical information Web service technology that can provide users with suitable information by connecting and integrating various types of spatial information and extensive aspatial information on the Web efficiently. For the Geo Semantic Web service, we need to develop Geo Ontology processing technologies that enable computers to process knowledge and information scattered around in the Web environment automatically. However, standards for Geo Ontology processing technologies have nod been established yet, and standardization organizations and various groups and agencies are conducting relevant studies. This paper analyzed various base theories and technologies related to Geo Ontology and developed a Geo Semantic Web system. The Geo Semantic Web system comprises Query Processing Manager that analyzes and processes Geo Semantic queries and manages sessions, Ontology Manager that generates and queries Geo Ontology and extracts spatial/aspatial data, and Clients. Finally, this paper proved the utility of the Geo Semantic Web system by applying it to a hypothetical scenario where Geo Semantic queries are required.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.6
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• pp.1174-1182
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• 2017

The research and development on Web of Data to realize the opening and sharing of diverse, heterogonous data on the Web has been actively accomplished. As a standard data model for this effort, LOD (Linked Open Data) based on ontology has been proposed. A specialized instance generation system is vital to the development of LOD-based system effectively. This paper implements i-Manager as an appropriate environment for the development of LOD instances, considering the requirements of LOD systems and the practical development environment of the diverse application domains. i-Manager separates the instance layer from the ontology layer by way of LOD Interface Sheet (LIS) and implements the specialized functions requested in LOD instance development, such as instance edit/store, visualization and SPARQL query processing. This paper proposes a new approach for LOD instance development, and i-Manager can be applied for the practical LOD development environment in the diverse application areas.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.529-532
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• 2006

과학기술 연구자들의 협업을 지원하기 위해서 정보 자원 공유에 기반한 정보 유통 체제가 필요하나 현재 정보 유통 체제에서는 서로 이질적인 형태로 정보가 표현되어 있기 때문에 정보 공유의 기술적 한계를 갖고 있다. 그리고 대량의 정보 속에서 사용자가 원하는 정보를 선별하여 제공하기 위해서는 새로운 정보 유통 플랫폼이 필요하다. 본 논문에서는 지식 기반 정보 유통 플랫폼 상에서 이용되는 국가과학기술 R&D 기반정보를 지식화하기 위해 국가과학기술 R&D 기반정보 온톨로지를 구축하여 이용함으로써 각 기관별로 관리하고 있는 인력, 성과물 등의 과학기술 R&D 기반 정보의 표준화된 지식관리 체계로 이용할 수 있다. 우리는 국가과학기술 R&D 기반정보 온톨로지를 구축하기 위하여 한국과학기술정보연구원(KSITI) 내부 성과물 정보의 실제 데이터들을 이용하여 온톨로지의 Individuals를 생성하였다. 정보 유통 플랫폼에서 온톨로지 형태로 구축된 지식을 이용하면 과학기술 R&D 기반정보에 대한 효율적인 관리가 가능하고, 정형화된 형태의 지식으로 개념화했기 때문에 지식 데이터의 공유와 재사용이 가능하다. 또한 단순 질의 검색이 아닌 의미 기반 추론을 이용한 지식 검색이 가능해지는 장점을 가진다. 우리가 구축한 국가 과학기술 R&D 기반정보 온톨로지를 이용하여 정보유통플랫폼(OntoFrame-K)에서 연구자 네트워크, 연구자 추적, 연구맵의 추론 서비스를 제공한다.

• Korean Journal of Construction Engineering and Management
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• v.13 no.3
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• pp.99-108
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• 2012

The rough design information is only available from BIM(Building Information Model) based schematic design. So, it is difficult to obtain sufficient information for generating BOQ. Like 2D design, there are some problems that the results are depend on what the choice of cost estimator. However, the most research of BIM based cost estimation are focus on quantity takeoff, the consideration of work item for generating BOQ is insufficient. Therefore, this paper present automatic inference process of work items in a BOQ using ontology. The proposed process and ontology is validated through applying tiling construction. If the proposed process is utilized, it is expected the basis of developing generation method for consistent BOQ by resolving intervention of cost estimator's arbitrary decision.

• Journal of the Korean Society for information Management
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• v.19 no.4
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• pp.298-319
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• 2002

The Semantic Web is a new technology that attempts to achieve effective retrieval, automation, integration, and reuse of web resources by constructing knowledge bases that are composed of machine-readable definitions and associations of resources that express the relationships among them. To have this kind of Semantic Web in place, it is necessary to have the following infrastructures: capability to assign unchangeable and unique identifier (URI) to each resource, adoption of XML namespace concept to prevent collision of element and attribute names defined by various institutions, widespread use of RDF to describe resources so that diverse metadata can be interoperable, use of RDF schema to define the meaning of metadata elements and the relationships among them, adoption of DAML+OIL that is built upon RDF(S) to increase reasoning capability and expressive power, and finally adoption of OWL that is built upon DAML+OIL by removing unnecessary constructors and adding new ones based on experience of using DAML+OIL. The purpose of this study is to describe the central concepts and technologies related to the Semantic Web and to discuss the benefits of metadata interoperability based on XML/RDF schemas and the potential applications of diverse ontologies.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.2
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• pp.100-109
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• 2007

Object recognition of service robots is very important for most of services such as delivery, and errand. Conventional methods are based on the geometric models in static industrial environments, but they have limitations in indoor environments where the condition is changable and the movement of service robots occur because the interesting object can be occluded or small in the image according to their location. For solving these uncertain situations, in this paper, we propose the method that exploits observed objects as context information for predicting interesting one. For this, we propose the method for modeling domain knowledge in probabilistic frame by adopting Bayesian networks and ontology together, and creating knowledge model dynamically to extend reasoning models. We verify the performance of our method through the experiments and show the merit of inductive reasoning in the probabilistic model

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.125-127
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• 2006

A number of museums and related parties have tangible heritage data and those data are collected by different types and formats. In these days, there are no service which connect each others so if a user wants to search a data, user have to log on certain homepage and search data. In general relational database systems have used for tangible heritage but sometime there is no ontology information for such relational database system. Therefore, for efficient searching of tangible heritage, we need a method which is extracting ontology information from relational database system. And we need a method which makes alignment between local ontologies extracted from relational database system and global ontology which has global information of tangible heritage. In this paper, we propose a system which can search tangible heritage efficiently using a method of extracting ontology from RDBMS and a method of aligning between local ontology and global ontology.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.259-276
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• 2004

ebXML and Web Services provide UDDI and ebXML registry for storing and managing the business and Service information of companies, respectively. Recently, W3C have released the OWL(Web Ontology Language) to Recommendation, and OWL-S proposed to describe the semantics of Web Services using the OWL ontologies. In this paper, we compared the OWL-S with the registry information model(RIM) of ebXML and the data structure of UDDI, and directly connect ones, which that of ebXML similar to that of UDDI; we extend the structure of the OWL to connect the rests. Consequently, our system enables to construct the ontologies of services and discover their semantics by using the information stored in the registries, and tintegrate UDDI, ebXML registry and OWL-S registry. By using the extending OWL-S documents in our system, agents can utilize for the semantic matchmaking.

• Journal of KIISE:Computer Systems and Theory
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• v.36 no.6
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• pp.488-501
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• 2009

In ubiquitous environments, invisible devices and software are connected to one another to provide convenient services to users. In order to provide such services, we must have mobile devices that connect users and services. But such services are usually limited to those served on a single mobile device. To resolve the resource limitation problem of mobile devices, a nearby resource sharing research has been studied. Also, not only the nearby resource share but also a resource recommendation through context-based resource reasoning has been studied such as an UMO Project. The UMO Project share and manage the various context information for the personalization resource recommendation and reason based on current context information. Also, should verify resource inference rules for reliable the resource recommendation. But, to create various context information requires huge cost and time in actuality. Thus, we propose a inference verification tool called USim to resolve problem. The proposed inference verification tool provides convenient graphic user interfaces and it easily creates context information. The USim exactly verifies new inference rules through dynamic changes of context information.