• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.6
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• pp.1354-1359
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• 2013

With the development of multimedia and network technology, the production of multimedia contents is rapidly increasing. Meanwhile, the technology to search and use the contents is still insufficient. There are standards for multimedia contents to address the problem, but they cannot fully support diverse multimedia data types or ensure their interoperability. In this paper, an ontology-based content search system is proposed to ensure the interoperability of multimedia contents. The ontology is configured by presenting the rules for it using the schema structure of the multimedia description scheme (MDS) of MPEG-7. Based on this ontology, This paper extend multimedia relationship based on ontology, thus established the semantic retrieval system.

• Journal of Information Processing Systems
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• v.16 no.2
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• pp.261-276
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• 2020

Digital contents services are one of the topics that have been intensively studied in the media industry, where various semantic and ontology techniques are applied. However, query execution for ontology data is still inefficient, lack of sufficient extensible definitions for node relationships, and there is no specific semantic method fit for media data representation. In order to make the machine understand digital contents (DCs) data well, we analyze DCs data, including static data and dynamic data, and use ontology to specify and classify objects and the events of the particular objects. Then the formal representation method is proposed which not only redefines DCs data based on the technology of OWL/RDF, but is also combined with media segmentation methods. At the same time, to speed up the access mechanism of DCs data stored under the persistent database, an ontology-based DCs query solution is proposed, which uses the specified distance vector associated to a surveillance of semantic label (annotation) to detect and track a moving or static object.

• Journal of Internet Computing and Services
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• v.13 no.1
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• pp.107-115
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• 2012

In recent Information Environment, various Multimedia contents are getting noticed. But, since these contents have various formats of representation and very wide range of information, it was difficult to retrieve contents that user wanted and to utilize it. To solve these problems, many studies presented draft standards for adding metadata to contents, and then, semantic search for contents had become available. Unfortunately, as the number of metadata standards and contents increased, the lack of interoperability between contents was begun and users are faced with difficulty of search contents again. To improve these problems, this paper supports interoperability between metadata standards and expands the semantic relationship between elements and proposes an ontology which is named TOFIC(The Ontology For Imagery Contents) for enhanced semantic search. In TOFIC, the semantic relationships between MPEG-7 and TV-Anytime are classified, and extended new semantics are defined. As a result, semantic search for multimedia contents is enhanced and it is possible to retrieve most of the multimedia contents that exist on the current information environment consistently. In addition, it supports enhanced content-based search for multimedia contents.

• International Journal of Contents
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• v.12 no.2
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• pp.24-30
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• 2016

Ontology is known to be one of the most important technologies in achieving semantic web. It is critical as it represents the knowledge in a machine readable state. World Wide Web Consortium (W3C) has been contributing to the development of ontology for the last several years. However, the recommendation of W3C left out HTML despite the massive amount of information it contains. Also, it is difficult and time consuming to keep up with all the technologies especially in the case of constructing ontology. Thus, we propose a module and methods that reuse HTML documents, extract necessary information from HTML tags and mapping it to OWL 2. We will be combining two kinds of approaches which will be the structural refinement for making an ontology skeleton and linguistic approach for adding detailed information onto the skeleton.

• The Journal of the Korea Contents Association
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• v.6 no.10
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• pp.25-33
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• 2006

For semantic retrieval in semantic web environment, it is an important factor to manage and manipulate distributed resources. Ontology is essential for efficient search in distributed resources, but it is almost impossible to construct an unified ontology for all distributed resources in the web. In this paper, we assumed that most information in the web environment exist in the form of RDBMS, and propose a matching method between domain ontology and the existing RDBMS tables for semantic retrieval. Most previous studies about matching between RDBMS tables and domain ontology have extracted a local ontology from RDBMS tables at first, and conducted the matching between the local ontology and domain ontology. However in the processing of extracting a local ontology, some problems such as losing domain information can be occurred since its correlation with domain ontology has not been considered at all. In this paper, we propose a methods to prevent the loss of domain information through the similarity measure between instances of RDBMS tables and instances of ontology. And using the relational information between RDBMS tables and the relational information between classes in domain ontology, more efficient instance-based matching becomes possible.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.591-593
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• 2010

The Ontology is the concept of human beings in any sense to classify things as departure from the classification based on the meaning at the prensent situation and concepts as the object of the Ontology. also, the technology is shared the conceptualization in a formal ontology as a meaning to give a clear description to the conceptual engineering in the ontology. Specialized multimedia broadcasting of TV-Anytime standard and multimedia representation of the overall standard of the MPEG-7 based on the concept of broadcasting multimedia presentations that can be used to develop an ontology who is required. In this paper, in TV-Anytime and MPEG-7 multimedia standard for broadcasting multimedia contents based on standards developed for the ontology, an ontology language for expressing OWL (Web Ontology Language) and RDF (Resource Description Framework) and the broadcast contents using To represent metadata of the system who has been developed.

• The Journal of the Korea Contents Association
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• v.5 no.2
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• pp.29-37
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• 2005

Korean cyber universities now provide higher education service to learners but the courses suffer major limitations of low quality and inefficient format of their learning contents. Because of the absence of any standard authoring strategy for learning contents, tutors develop their own courseware with various formats and content structures. In addition, the lack of association between content learners causes them difficulties in finding and reusing related contents. In this paper, we propose an authoring strategy foradvanced learning contents based on SCORM and ontology. Our strategy improvesthe reusability and associativity of learning contents. We demonstrate the effectiveness of our proposed authoring strategy through developing learning contents such as understanding of digital contents.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.537-540
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• 2007

본 논문의 목적은 인간과 시스템의 상호작용에 의한 컨텐츠 생성을 가능하게 함으로써 회의공간에서의 지식창조 프로세스를 지원하는데 있다. 회의에 있어서 발표자료는 기존의 조직이 보유 하고 있는 유형 지식인 컨텐츠 리소스들에 발표자의 지식이 더해진 산물로서 기존의 조직의 지식과 회의에서 창조되는 새로운 지식 사이의 가교역할을 담당한다. 본 논문에서는 R&D 회의를 대상으로 이러한 회의에서의 새로운 지식 창조의 기반이 되는 발표자료의 작성을 지원하는 적응형 컨텐츠 생성 시스템 (Adaptive Contents Generation System)을 제안하였다. 제안 시스템을 구현하기 위하여 먼저 기존의 조직이 가지고 있는 자원인 구성원 정보, 프로젝트 및 미팅 정보, 컨텐츠 리소스들을 체계적으로 관리하기 위한 Ontology를 구축하였다. 이렇게 구축된 Ontology를 기반으로 제안 시스템은 회의, 발표자, 참가자들의 상황과 생성되는 컨텐츠의 종류에 적합한 Fragment 들을 추출하고 이들을 하나의 컨텐츠로 구조화하여 사용자에게 제공한다. 또한 사용자가 시스템으로부터 생성된 컨텐츠를 수정하고 시스템은 이를 반영할 수 있는 환경을 제공함으로써 시스템이 가지고 있는 지식에 사용자 자신의 지식을 더하여 표현할 수 있도록 하였다. 본 논문은 시스템과 인간의 협업 작업에 의한 인간 기능의 확장뿐만 아니라 조직의 지식경영 및 효율적인 컨텐츠 관리를 지원하는 데에 그 의의를 둘 수 있다.

• Journal of Digital Contents Society
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• v.17 no.1
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• pp.11-21
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• 2016

To provide more efficient and exact search result, internet systems will rely more and more on semantic web. Ontology is one of the important methods for implementation of semantic web. Ontology is used to implement an explicit formal vocabularies to share. However, important problems rise when dealing with ontology. Ontologies are typically subject to change because they are living. In order to handle ontology data change situation, a version handling system is needed to keep track of changes. For example, the queries subject to the previous ontology may become inconsistent and must be updated according to the newest version of ontology. Although many research was done in this area, there are still many problems to overcome. In this paper, we propose class and property transition graph for query transformation. The graph is created when ontology data is changed and applied to query transformation.

• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.548-557
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• 2010

In this paper, we propose a semi-automatic modeling approach of ontology to annotate VOD to realize the IPTV's intelligent searching. The ontology is made by combining partial tree that extracts hypernym, hyponym, and synonym of keywords related to a service domain from WordNet. Further, we add to the partial tree new keywords that are undefined in WordNet, such as foreign words and words written in Chinese characters. The ontology consists of two parts: generic hierarchy and specific hierarchy. The former is the semantic model of vocabularies such as keywords and contents of keywords. They are defined as classes including property restrictions in the ontology. The latter is generated using the reasoning technique by inferring contents of keywords based on the generic hierarchy. An annotation generates metadata (i.e., contents and genre) of VOD based on the specific hierarchy. The generic hierarchy can be applied to other domains, and the specific hierarchy helps modeling the ontology to fit the service domain. This approach is proved as good to generate metadata independent of any specific domain. As a result, the proposed method produced around 82% precision with 2,400 VOD annotation test data.