DOI QR코드

DOI QR Code

An Ontology Model for Public Service Export Platform

공공 서비스 수출 플랫폼을 위한 온톨로지 모형

  • Lee, Gang-Won (Department of Business Administration, Chung-ang University of Korea) ;
  • Park, Sei-Kwon (Department of Business Administration, Chung-ang University of Korea) ;
  • Ryu, Seung-Wan (Department of Business Administration, Chung-ang University of Korea) ;
  • Shin, Dong-Cheon (Department of Business Administration, Chung-ang University of Korea)
  • Received : 2014.01.15
  • Accepted : 2014.02.18
  • Published : 2014.03.28

Abstract

The export of domestic public services to overseas markets contains many potential obstacles, stemming from different export procedures, the target services, and socio-economic environments. In order to alleviate these problems, the business incubation platform as an open business ecosystem can be a powerful instrument to support the decisions taken by participants and stakeholders. In this paper, we propose an ontology model and its implementation processes for the business incubation platform with an open and pervasive architecture to support public service exports. For the conceptual model of platform ontology, export case studies are used for requirements analysis. The conceptual model shows the basic structure, with vocabulary and its meaning, the relationship between ontologies, and key attributes. For the implementation and test of the ontology model, the logical structure is edited using Prot$\acute{e}$g$\acute{e}$ editor. The core engine of the business incubation platform is the simulator module, where the various contexts of export businesses should be captured, defined, and shared with other modules through ontologies. It is well-known that an ontology, with which concepts and their relationships are represented using a shared vocabulary, is an efficient and effective tool for organizing meta-information to develop structural frameworks in a particular domain. The proposed model consists of five ontologies derived from a requirements survey of major stakeholders and their operational scenarios: service, requirements, environment, enterprise, and county. The service ontology contains several components that can find and categorize public services through a case analysis of the public service export. Key attributes of the service ontology are composed of categories including objective, requirements, activity, and service. The objective category, which has sub-attributes including operational body (organization) and user, acts as a reference to search and classify public services. The requirements category relates to the functional needs at a particular phase of system (service) design or operation. Sub-attributes of requirements are user, application, platform, architecture, and social overhead. The activity category represents business processes during the operation and maintenance phase. The activity category also has sub-attributes including facility, software, and project unit. The service category, with sub-attributes such as target, time, and place, acts as a reference to sort and classify the public services. The requirements ontology is derived from the basic and common components of public services and target countries. The key attributes of the requirements ontology are business, technology, and constraints. Business requirements represent the needs of processes and activities for public service export; technology represents the technological requirements for the operation of public services; and constraints represent the business law, regulations, or cultural characteristics of the target country. The environment ontology is derived from case studies of target countries for public service operation. Key attributes of the environment ontology are user, requirements, and activity. A user includes stakeholders in public services, from citizens to operators and managers; the requirements attribute represents the managerial and physical needs during operation; the activity attribute represents business processes in detail. The enterprise ontology is introduced from a previous study, and its attributes are activity, organization, strategy, marketing, and time. The country ontology is derived from the demographic and geopolitical analysis of the target country, and its key attributes are economy, social infrastructure, law, regulation, customs, population, location, and development strategies. The priority list for target services for a certain country and/or the priority list for target countries for a certain public services are generated by a matching algorithm. These lists are used as input seeds to simulate the consortium partners, and government's policies and programs. In the simulation, the environmental differences between Korea and the target country can be customized through a gap analysis and work-flow optimization process. When the process gap between Korea and the target country is too large for a single corporation to cover, a consortium is considered an alternative choice, and various alternatives are derived from the capability index of enterprises. For financial packages, a mix of various foreign aid funds can be simulated during this stage. It is expected that the proposed ontology model and the business incubation platform can be used by various participants in the public service export market. It could be especially beneficial to small and medium businesses that have relatively fewer resources and experience with public service export. We also expect that the open and pervasive service architecture in a digital business ecosystem will help stakeholders find new opportunities through information sharing and collaboration on business processes.

공공 서비스의 수출의 경우 수출 절차와 대상 선정에 따른 다양한 문제가 발생하며, 공공 서비스 수출 플랫폼은 이러한 문제점들을 해결하기 위하여 사용자 중심의 유연하고, 개방형 구조의 디지털 생태계를 조성할 수 있도록 구현되어야 한다. 또한 공공서비스의 수출은 다수의 이해당사자가 참여하고 여러 단계의 과정을 거쳐야 하므로 사용자의 이해 종류와 탐색 컨설팅 협상 계약 등 수출 프로세스 단계별로 맞춤형 플랫폼 서비스 제공이 필수적이다. 이를 위해서 플랫폼 구조는 도메인과 정보의 정의 및 공유는 물론 지식화를 지원할 수 있어야 한다. 본 논문에서는 공공서비스 수출을 지원하는 플랫폼을 위한 온톨로지 모형을 제안한다. 서비스 플랫폼의 핵심 엔진은 시뮬레이터 모듈이며 시뮬레이터 모듈에서는 온톨로지를 사용하여 수출 비즈니스의 여러 컨텍스트들을 파악하고 정의하여 다른 모듈들과 공유하게 된다. 온톨로지는 공유 어휘를 통하여 개념들과 그들 간의 관계를 표현할 수 있으므로 특정 영역에서 구조적인 틀을 개발하기 위한 메타 정보를 구성하는 효과적인 도구로 잘 알려져 있다. 공공서비스 수출 플랫폼을 위한 온톨로지는 서비스, 요구사항, 환경, 기업, 국가 등 5가지 카테고리로 구성되며 각각의 온톨로지는 요구분석과 사례 분석을 통하여 용어를 추출하고 온톨로지의 식별과 개념적 특성을 반영하는 구조로 설계한다. 서비스 온톨로지는 목적효과, 요구조건, 활동, 서비스 분류 등으로 구성되며, 요구사항 온톨로지는 비즈니스, 기술, 제약으로 구성 된다. 환경 온톨로지는 사용자, 요구조건, 활동으로, 기업 온톨로지는 활동, 조직, 전략, 마케팅, 시간으로 구성되며, 국가 온톨로지는 경제, 사회기반시설, 법, 제도, 관습, 인프라, 인구, 위치, 국가전략 등으로 구성된다. 수출 대상 서비스와 국가의 우선순위 리스트가 생성되면 갭(gap) 분석과 매칭 알고리즘 등의 시뮬레이터를 통하여 수출기업과 수출지원 프로그램과의 시스템적 연계가 이루어진다. 제안하는 온톨로지 모형 기반의 공공서비스 수출지원 플랫폼이 구현되면 이해당사자 모두에게 도움이 되며 특히 정보 인프라와 수출경험이 부족한 중소기업에게 상대적으로 더 큰 도움이 될 것이다. 또한 개방형 디지털 생태계를 통하여 이해당사자들이 정보교환, 협업, 신사업 기획 등의 기회를 만들 수 있을 것으로 기대한다.

Keywords

References

  1. Darko, A., V. Neven, and S. Jurica, "Cloud Computing Ontologies: A Systematic Review," Proceedings of 3rd International Conference on Models and Ontoilogy-based Design of Protocols, Architectures and Services, (2012), 9-14.
  2. Fernandez, M., A. Gomez-Perez, and N. Juristo, "METHONTOLOGY: From Ontological Art Towards Ontological Engineering," AAAI-97 Spring Symposium on Ontological Engineering, (1997), 33-40.
  3. Fox, M. S., M. Barbuceanu, and M. Gruninger, "An Organisation Ontology for Enterprise Modeling: Preliminary Concepts for Linking Structure and Behaviour," Computers in Industry, Vol. 29(2006), 123-134.
  4. Gangemi, A. and M. P. Domenico, "An Overview of the ONIONS Project: Applying Ontologies to the Integration of Medical Terminologies," Data & Knowledge Engineering, Vol. 31 (1999), 183-220. https://doi.org/10.1016/S0169-023X(99)00023-3
  5. Gruber, T. R., "A Translation Approach to Portable Ontology Specifications," Knowledge Acquisition, Vol. 5, No. 2(1993) 199-220. https://doi.org/10.1006/knac.1993.1008
  6. KBSI, The IDEF5 Ontology Description Capture Method Overview, Knowledge Based Systems, Inc. (KBSI) Report, 1994.
  7. Kim J. Y. and S. W. Lee, "The Ontology Based the Movie Contents Recommendation Scheme Using Relationship of Movie Metadata," Journal of Intelligence and Information Systems, Vol. 19, No. 3(2013), 25-44. https://doi.org/10.13088/jiis.2013.19.3.025
  8. Kim, S. K. and K. H. Ahn, "A Study of Dynamic Web Ontology for Comparison-shopping Agent based on Semantic Web," Journal of Intelligence and Information Systems, Vol. 11, No. 2(2005), 31-45.
  9. Lee, H. K., C. S. Ko, and T. W. Kim, "Preference-based Supply Chain Partner Selection Using Fuzzy Ontology," Journal of Intelligence and Information Systems, Vol. 17, No. 1(2011), 37-52.
  10. Matthew, E. T., M. Cynthia, K. Bryan, and W. Michael, "Autonomous Classification of Knowledge into an Ontology," Proceedings of the Twentieth International FLAIRS Conference, (2007).
  11. Nicola, A. D., M. Missikoff, and R. Navigli, "A Software Engineering Approach to Ontology Building," Information Systems, Vol. 34 No. 2(2009), 258-275. https://doi.org/10.1016/j.is.2008.07.002
  12. Park, S. K. and G. B. Choi, "Identication Model Based on Hierarchical Ontology for SOA Services," Journal of Korea IT Service, Vol. 12, No. 1(2013), 323-340.
  13. Uschold, M. and M. Gruniger, "Ontologies: principles, methods and applications," The Knowlege Engineering Review, Vol. 11, No. 2(1996), 93-136. https://doi.org/10.1017/S0269888900007797
  14. Uschold, M., M. King, S. Moralee, and Y. Zorgios, "The Enterprise Ontology," The knowledge engineering review, Vol 13, No. 1 (1998), 31-89. https://doi.org/10.1017/S0269888998001088