Ontology Development for Cultural Knowledge of Thai-Khmer Textiles

Jutamas Promthong,Malee Kabmala,Wirapong Chansanam 한국과학기술정보연구원 2023 Journal of Information Science Theory and Practice Vol.11 No.2

This study aims to develop ontologies regarding cultural knowledge of Thai-Khmer textiles by applying the Knowledge Engineering Methodology to build upon the ontologies. The process includes 1) generating the ontologies’ objectives, 2) building ontologies, and 3) evaluating the ontologies. The researchers used OntOlogies Pitfall Scanner (OOPS!) to minimize defects and asked two experts to evaluate the ontologies’ design. Protégé was used to design the ontologies, and WIDOCO was used to present the ontologies through the World Wide Web. It was found that the developed ontology consists of two classes, 16 sub-classes, and 16 relationships. The ontologies assessment found that there were seven items to fix according to the OOPS! software. Apart from the assessment program, the experts mentioned that all five aspects were suitable; namely, the ontology design was evaluated at 4.51 (Likert), the process of identifying scopes of definitions and objectives of development was 4.61, the applications and guidelines for further development was 4.58, the process of forming classes was 4.53, and the process of generating class’s properties was 4.50.

언어 중립성과 언어 기반 온톨로지

채희락(Hee-Rahk Chae) 한국중원언어학회 2012 언어학연구 Vol.0 No.22

In this paper, we have established a theoretical foundation for a new type of ontologies, “LL-Ontology,” which is easier to construct and more useful in applications than previous regular ontologies dealing with the conceptual world. On the basis of some issues needed to be considered in constructing ontologies, we have derived the concepts of “language neutrality” and “language/linguistics-basedness” of ontologies. In explicating these concepts, we have introduced a system of LL-Ontology (Language/Linguistics-based Ontology). This ontology consists of two parts: Language Ontology (LO) and Ontology for linguistics (OL). The former is dealing with a linguistic world of the conceptualized world concerned. The latter is a sub-ontology of grammatical categories. One of the most significant aspects of LL-Ontology is that it is a concept net which properly incorporates the properties of language, which is the most richest and specific means of conveying concepts.

Event-Based Ontologies: A Comparison Review

Ashour Ali,Shahrul Azman Mohd Noah,Lailatul Qadri Zakaria International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.5

Ontologies are knowledge containers in which information about a specified domain can be shared and reused. An event happens within a specific time and place and in which some actors engage and show specific action features. The fact is that several ontology models are based on events called Event-Based Models, where the event is an individual entity or concept connected with other entities to describe the underlying ontology because the event can be composed of spatiotemporal extents. However, current event-based ontologies are inadequate to bridge the gap between spatiotemporal extents and participants to describe a specific domain event. This paper reviews, describes, and compares the existing event-based ontologies. The paper compares and contrasts various ways of representing the events and how they have been modelled, constructed, and integrated with the ontologies. The primary criterion for comparison is based on the events' ability to represent spatial and temporal extent and the participants in the event.

Representation of Event-Based Ontology Models: A Comparative Study

Ali, Ashour,Noah, Shahrul Azman Mohd,Zakaria, Lailatul Qadri International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.7

Ontologies are knowledge containers in which information about a specified domain can be shared and reused. An event happens within a specific time and place and in which some actors engage and show specific action features. The fact is that several ontology models are based on events called Event-Based Models, where the event is an individual entity or concept connected with other entities to describe the underlying ontology because the event can be composed of spatiotemporal extents. However, current event-based ontologies are inadequate to bridge the gap between spatiotemporal extents and participants to describe a specific domain event. This paper reviews, describes and compares the existing event-based ontologies. The paper compares various ways of representing the events and how they have been modelled, constructed, and integrated with the ontologies. The primary criterion for comparison is based on the events' ability to represent spatial and temporal extent and the participants in the event.

An Incremental, Iterative and Interative Ontology Matching Approach

Fernando Wagner,Jose A.F.Macedo,Bernadette Lóscio 한국엔터프라이즈아키텍처학회 2012 정보기술아키텍처연구 Vol.9 No.4

Ontologies are being used in order to define common vocabularies to describe the elements of schemas involved in a particular application. The problem of finding correspondences between ontologies concepts, called ontology matching, consists in the discovery of correspondences between terms of vocabularies (represented by ontologies) used by various applications. The majority of solutions proposed in the literature, despite being fully automatic, has heuristic nature and may produce nonsatisfactory results. The problem intensifies when dealing with large data sources. The goal of this paper is to propose a method for generation and incremental refinement of correspondences between ontologies. The proposed approach uses filtering techniques, as well as user feedback to support the generation and refinement of such matches. For validation purposes, a tool was developed and some experiments were conducted.

학습 온톨로지 생성을 통한 학습 성과

김정민,정현숙 한국공학교육학회 2008 공학교육연구 Vol.11 No.2

Teaching is communication between instructor and students. The learning outcomes can be enhanced by active learning of students. However, there are many obstacles to effective learning below, such as lecture notes authored by instructor, passive student participation, and paper-based homework. In this paper, we propose an effective method for enhancing learning effect through constructing learner ontologies in which knowledge discovered by students is conceptualized and organized. The learning ontology is composed of a teacher ontology and many learner ontologies. The learning ontology is used in discussion, visual presentation, and knowledge sharing between instructor and students. We used the learning ontology in two lectures in practice and learned that the learning ontology enhances learning effect through analysis of feedbacks of students.

학습 온톨로지 생성을 통한 학습 성과 강화에 관한 연구

김정민(Kim Jung Min),정현숙(Chung Hyun Sook) 한국공학교육학회 2008 공학교육연구 Vol.11 No.2

수업은 교수자와 학습자의 상호작용으로 정의될수 있으며 학습자의 능동적 활동에 의해 학습 성과가 향상될 수 있다. 그러나 교수자에 의해 작성되고 배포되는 강의자료, 교수자의 일방적인 강의, 페이퍼 위주의 과제 제출 등으로 학습자의 적극적인 학습 참여가 제한되고 있다. 본 논문에서는 학습자가 스스로 발견한 지식을 개념화하고 지식 구조를 정의함 으로써 학습자 온톨로지를 생성하는 방법을 제안한 다. 또한 교수자 온톨로지와의 연계를 위해 온톨로지 매칭 및 연계 기법을 제안한다. 교수자 온톨로지와 학습자 온톨로지는 통합되어 학습 온톨로지를 구성하며 이 온톨로지를 토대로 교수자와 학습자들 사이에 토론, 발표, 지식 공유 등이 이루어진다. 제안 하는 온톨로지 기반 학습은 실제 수업에 적용되었으며 학습자들의 피드백 분석을 통해 그 효과를 보였 다. Teaching is communication between instructor and students. The learning outcomes can be enhanced by active learning of students. However, there are many obstacles to effective learning below, such as lecture notes authored by instructor, passive student participation, and paper-based homework. In this paper, we propose an effective method for enhancing learning effect through constructing learner ontologies in which knowledge discovered by students is conceptualized and organized. The learning ontology is composed of a teacher ontology and many learner ontologies. The learning ontology is used in discussion, visual presentation, and knowledge sharing between instructor and students. We used the learning ontology in two lectures in practice and learned that the learning ontology enhances learning effect through analysis of feedbacks of students.

학습 온톨로지 생성을 통한 학습 성과 강화에 관한 연구

김정민(Kim Jung Min),정현숙(Chung Hyun Sook) 한국공학교육학회 2008 공학교육연구 Vol.11 No.4

수업은 교수자와 학습자의 상호작용으로 정의될수 있으며 학습자의 능동적 활동에 의해 학습 성과가 향상될 수 있다. 그러나 교수자에 의해 작성되고 배포되는 강의자료, 교수자의 일방적인 강의, 페이퍼 위주의 과제 제출 등으로 학습자의 적극적인 학습 참여가 제한되고 있다. 본 논문에서는 학습자가 스스로 발견한 지식을 개념화하고 지식 구조를 정의함 으로써 학습자 온톨로지를 생성하는 방법을 제안한 다. 또한 교수자 온톨로지와의 연계를 위해 온톨로지 매칭 및 연계 기법을 제안한다. 교수자 온톨로지와 학습자 온톨로지는 통합되어 학습 온톨로지를 구성하며 이 온톨로지를 토대로 교수자와 학습자들 사이에 토론, 발표, 지식 공유 등이 이루어진다. 제안 하는 온톨로지 기반 학습은 실제 수업에 적용되었으며 학습자들의 피드백 분석을 통해 그 효과를 보였 다. Teaching is communication between instructor and students. The learning outcomes can be enhanced by active learning of students. However, there are many obstacles to effective learning below, such as lecture notes authored by instructor, passive student participation, and paper-based homework. In this paper, we propose an effective method for enhancing learning effect through constructing learner ontologies in which knowledge discovered by students is conceptualized and organized. The learning ontology is composed of a teacher ontology and many learner ontologies. The learning ontology is used in discussion, visual presentation, and knowledge sharing between instructor and students. We used the learning ontology in two lectures in practice and learned that the learning ontology enhances learning effect through analysis of feedbacks of students.

Exploiting corpus-related ontologies for conceptualizing document corpora

Zheng, Hai-Tao,Borchert, Charles,Kim, Hong-Gee Wiley Subscription Services, Inc., A Wiley Company 2009 JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SC Vol.60 No.11

<P>As a greater volume of information becomes increasingly available across all disciplines, many approaches, such as document clustering and information visualization, have been proposed to help users manage information easily. However, most of these methods do not directly extract key concepts and their semantic relationships from document corpora, which could help better illuminate the conceptual structures within given information. To address this issue, we propose an approach called “Clonto” to process a document corpus, identify the key concepts, and automatically generate ontologies based on these concepts for the purpose of conceptualization. For a given document corpus, Clonto applies latent semantic analysis to identify key concepts, allocates documents based on these concepts, and utilizes WordNet to automatically generate a corpus-related ontology. The documents are linked to the ontology through the key concepts. Based on two test collections, the experimental results show that Clonto is able to identify key concepts, and outperforms four other clustering algorithms. Moreover, the ontologies generated by Clonto show significant informative conceptual structures.</P>

법률 영역에서의 에이전트 개념계층 개선 방안

장인호 한국지식정보기술학회 2013 한국지식정보기술학회 논문지 Vol.8 No.4

This research investigates existing legal ontologies, selects and analyzes 5 kinds and suggestes measures of improvement them so as to improve the concepts and taxonomies of agent which is already established in legal domain. Also, based on them, we clarify agent's concept definition and reestablish the agent modules by combining and expanding some taxonomies that was suggested. Suggested ontology limits the range of agent to legal domain and separates pseudo agent and role concept in existing legal ontologies. And, we regard groups as pseudo agents by distinguishing groups and organizations and add nations, international organizations, political parties and so on. The total number of agent concepts for completed legal domains is twenty-one. Those improvement measures and agent modules should be useful guidance for ontology developer in the future.