• Journal of Information Science Theory and Practice
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• v.10 no.1
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• pp.45-58
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• 2022

Community enterprise plays an important role for developing local business. Products from local communities apply local specialties such as high-quality materials and inherited wisdom. This work aims to support merchandises from local community enterprises by bringing out their specialties related to local wisdom and intangible cultural aspects. An ontology is applied to demonstrate the innate information regarding the implicit values of the products and is used as a core for a semantic search system. Details of the products are gathered from their respective community using an interview method and are extracted to align with the developed ontological schema. The semantic search system thus is implemented with a recommendation process for online accessibility for providing the organised information. From evaluation, the developed ontology and its instances are rated highly for their consistency, conciseness, and completeness. In usage, accuracy of the query and recommendation results are evaluated at 97.38% searching accuracy and 85.03% for recommending interesting products.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.1
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• pp.173-182
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• 2001

In this paper, we discuss how ontology Plays roles in building a distributed and heterogeneous knowledge-base system. First, we discuss relationship between ontology and agent in the Knowledgeable Community which is a framework of knowledge sharing and reuse based on a multi-agent architecture. Ontology is a minimum requirement for each agent to join the Knowledgeable Community. Second we explain mediation by ontology to show how ontology is used in the Knowledgeable Community. A special agent called mediation analyzes undirected messages and infer candidates of recipient agents by consulting ontology and relationship between ontology and agents. Third we model ontology as combination of aspects each of which can represent a way of conceptualization. Aspects are combined either as combination aspect which means integration of aspects or category aspect which means choice of aspects. Since ontology by aspect allows heterogeneous and multiple descriptions for phenomenon in the world, it is appropriate for heterogeneous knowledge-base systems. We also show translation of messages as a wave of interpreting multiple aspects. A translation agent can translate a message with some aspect to one with another aspect by analyzing dependency of aspects. Mediation and translation of messages are important to build agents easily and naturally because less knowledge on other agents is requested for each agent.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.231-234
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• 2006

Semantic web ontologies can be viewed as logic-based domain-oriented contents which allow distributed and heterogeneous information to be semantically integrated, automatically circulated, and enable implicit knowledge to be reasoned. This paper describes the 'Science and Technology Research Area' ontology which is being developed by the Korea Institute of Science and Technology Information (KISTI). This ontology was defined to assist actual researchers and project planners to grasp the researchers community from a variety of viewpoints. We describe classes and properties as ontology components and exemplify the representation of real instances in the ontology. In order to represent the identities of real world instances within the ontology, the above ontology employs both class-dependent URI assignment schemes and the identity resolution methods.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.2
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• pp.74-93
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• 2010

Nowadays, the navigation system is very popular to general public and the study of landmarks has an important role to develop the cognitive systems for regional navigation. The city image is composed of landmarks that are well-known to regional community and they are the reference frame for place recognition in urban navigation. In general, the case of navigation can be categorized as two kinds. The first is to explore the new region and the second is to navigate the familiar region. In case of latter, the city image has a critical role in place recognition for regional community. Place recognition of a community might be a knowledge-based inference on the basis of city image which is composed of the systematically connected places. In this study, the mental structure of urban image is regarded as a hierarchical knowledge and represents it as domain ontology for the regional navigation of a community. The city image of a community is assumed as the collection of landmarks, which are categorized as anchor, distant and local according to spatial familiarity of community. Representing city image as a regional knowledge using ontology modeling method is an essential step to make the geographical assumption of a regional community explicit and reusable for the regional agents who will provide the regional guide in LBS age.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.5
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• pp.385-389
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• 2009

As a new community forming environment, the blog platform enables sharing of the resources in blogosphere through active information exchange. Many researches have been performed to recommend appropriate resources to users from vast amounts of blog resources. As one of the solutions OSEM defines the knowledge base in the blogosphere with ontology for effectively modeling it. In this paper, we propose a technique of converting the knowledge base into the OWL ontology for sharing it on the semantic web environment. An inference method is then applied to the OWL ontology for recommending interest blog communities. For this aim, a mapping method is offered and then SWRL inference and SPARQL query based on the ontology are employed to extract interest blog communities.

• Interdisciplinary Bio Central
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• v.3 no.2
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• pp.7.1-7.6
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• 2011

Background: Published manuscripts are the main source of biological knowledge. Since the manual examination is almost impossible due to the huge volume of literature data (approximately 19 million abstracts in PubMed), intelligent text mining systems are of great utility for knowledge discovery. However, most of current text mining tools have limited applicability because of i) providing abstract-based search rather than sentence-based search, ii) improper use or lack of ontology terms, iii) the design to be used for specific subjects, or iv) slow response time that hampers web services and real time applications. Results: We introduce an advanced text mining system called PubMine that supports intelligent knowledge discovery based on diverse bio-ontologies. PubMine improves query accuracy and flexibility with advanced search capabilities of fuzzy search, wildcard search, proximity search, range search, and the Boolean combinations. Furthermore, PubMine allows users to extract multi-dimensional relationships between genes, diseases, and chemical compounds by using OLAP (On-Line Analytical Processing) techniques. The HUGO gene symbols and the MeSH ontology for diseases, chemical compounds, and anatomy have been included in the current version of PubMine, which is freely available at http://pubmine.kobic.re.kr. Conclusions: PubMine is a unique bio-text mining system that provides flexible searches and analysis of biological entity relationships. We believe that PubMine would serve as a key bioinformatics utility due to its rapid response to enable web services for community and to the flexibility to accommodate general ontology.

• Journal of KIISE:Software and Applications
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• v.35 no.4
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• pp.219-233
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• 2008

This paper suggests an intelligent semantic blog model to systematically analyze and manage biogosphere with ontology as its conceptual knowledge base. In the model, the system managers may support users to easily find appropriate blog resources by tracking and analyzing various relationships between ontology - they may intelligently recommend Interest blog communities to relevant users by monitoring interaction activities in blogoshpere, dynamically grouping the communities with the ontology. To systematically specify the functionality of our model, 1) we first express the structure of blog resources in terms of objects and relationships between them and then 2) we formalize a set of operators designed to be applied to the resources. System queries are implemented by the combination of the operators.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.784-789
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• 2007

유비쿼터스 환경에 존재하는 스마트 객체들 사이의 협력으로 지능적인 서비스를 제공하는 시스템을 구축하기 위한 새로운 패러다임으로 커뮤니티 컴퓨팅이 제안되어, 활발히 연구되고 있다. 커뮤니티는 해결해야 할 목표를 가지며 목표 달성을 위해 필요한 멤버들을 구성하고, 멤버들은 목표 달성을 위해 상호작용한다. 이러한 상황에서 멤버의 결함은 멤버 사이의 상호작용을 중단시키는데, 원활한 멤버 사이의 상호작용이 커뮤니티의 목표를 달성하는 가장 중요한 문제이므로, 결국 멤버의 결함은 커뮤니티의 목표 달성의 실패를 가져온다. 이 문제를 해결하기 위해, 본 논문에서는 컨텍스트 온톨로지를 이용한 멤버의 복제 방법 및 복구 알고리즘을 제안한다. 각 멤버는 자신의 상태를 커뮤니티에 전송하며, 커뮤니티는 모든 멤버의 상태를 온톨로지로서 유지한다. 멤버의 결함이 발견되면, 커뮤니티는 결함이 발생한 멤버의 상태 온톨로지를 추론하여 이 멤버를 대신할 새로운 멤버를 커뮤니티로 끌어들인다. 커뮤니티에 들어온 새로운 멤버는 다른 멤버들과 즉시 상호작용을 할 수 없기 때문에, 커뮤니티로부터 결함이 발생한 멤버의 온톨로지를 전송 받아 추론하여 자신의 상태를 결함이 발생한 멤버의 상태로 전환시킨다. 이 과정이 끝나면, 새로운 멤버는 자연스럽게 다른 멤버들과 상호작용을 할 수 있으며, 커뮤니티는 목표 달성을 위해 계속적으로 나아간다. 본 논문에서는 이 알고리즘의 빠르고 효율적인 수행을 위해 OWL(Web Ontology Language)로 기술된 컨텍스트 온톨로지를 사용하였으면, Jade 에이전트 플랫폼을 이용하여 제안한 방법을 실험, 분석 하였다.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.162-167
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• 2007

최근 컴퓨터 게임에 등장하는 NPC(Non-player Character)에 각종 인공지능 기법을 적용하는 연구들이 이루어지고 있다. 하지만 대부분의 연구가 플레이어를 상대하는 적대적 입장의 NPC들의 움직임 조절에 초점을 맞추고 있고 아직까지 게임 상에서 등장하는 모든 NPC는 항상 같은 말과 비슷한 행동을 되풀이하는 모습만을 보여주고 있다. 이는 플레이어가 게임을 비현실적으로 느끼게 만들고 결과적으로 게임의 재미를 저하시키는 요소로 작용한다. 플레이어에게 보다 현실적인 게임 환경을 제공하기 위해서는 NPC가 단순히 게임의 배경을 구성하는 오브젝트가 아니라 다양한 대화를 통해 플레이어에게 많은 영향을 주게 하여 게임의 기여도를 높여주어야 한다. 본 논문에서는 이를 위해 게임 속에서 주어지는 퀘스트를 구성하는 NPC, 몬스터, 보상 등의 속성 정보를 온톨로지로 구성하고, 인터넷에 존재하는 게임 커뮤니티에서 퀘스트 질의/응답 게시판의 글을 추출하여, 플레이어의 관련 질의에 응답하는 NPC를 구현하고자 한다. 이를 위해 온톨로지 정보를 이용한 검색 알고리즘을 구현하였고, 시뮬레이션을 통해 NPC가 커뮤니티 게시글(국문/영문) 정보를 이용하여 유저에게 고정되지 않은 다양한 메시지를 전달하면서 동시에 유저의 게임 진행을 도와주는 모습을 확인하였다.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.5 no.4
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• pp.63-73
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• 1996

The knowledge of the specialized fields has been changed rapidly in the both side of quantity and quality. A hyper media as a knowledge based system is so fixed in the linked media in mutual that we couldn't tell it information provision with the view of users. In this paper, we propose the way of offering intellectual and flexible information which is the same with demand in the side of user, selecting, searching and composing the hypertext at the point of user's view through the design of knowledge media system. Three concepts are used in order to challenge the knowledge media system : special document, agent system and ontology. The special document is a ensure that its activities are coordinated with those of the others within the community, providing a uniform control mechanism. Finally, ontology is a language for exchanging knowledgement, which is a message exchanged among agents to ensure the proper interaction among them. The combination of these three concepts is used to design the prototype of knowledge media system.