• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.219-225
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• 2006

This paper studies on the visibility of dashboard in forklift. As part of the real setting devised for this study, 1. Important evaluation by males experience in forklift driving, 2. Icon cognition experiment, 3. Gage cognition experiment, subjects were asked to estimate the important evaluation, sketched to icon and gage position on the screen. Subjective evaluations were carried out by semantic differential method, sketch method, sketch method, then analyzed by consistency test, frequency rate and T-test. I gather the results concerning the relationship between consistent answers and cognition rates of dashboard understand the conditions which create a desired instrument panel.

• Asia pacific journal of information systems
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• v.25 no.2
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• pp.356-369
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• 2015

Public sectors around the world utilize social media tools and technologies in their daily activities for a variety of purposes, including disseminating useful information, fostering mass collaboration, and enforcing laws and regulations. A number of social media-based government stage models have emerged to document this use. In this chapter, we conducted a qualitative meta-synthesis of four social media-based government models. These models include 1) the open government maturity model, 2) the social media utilization model, 3) the adoption process for social media, and 4) the social media-based engagement model. The concepts, metaphors, and themes contained in these developmental models are extracted through a series of in-depth semantic analyses of descriptions, resulting in a common frame of reference.

• Proceedings of the Korean Society for Information Management Conference
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• 2005.08a
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• pp.99-106
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• 2005

효율적이고 체계적인 정보관리를 위해 최근 연구들은 시멘틱웹(semantic web), 지식관리, 메타데이터의 통합 등에 많은 관심을 두고 있다. 그러한 연구들은 자원(resources)의 기술을 어떻게 표현할 것인가에 대한 기술구조와 그 구조를 표현하기 위한 기계 언어 등을 다루고 있다. 특히 자원의 기술을 어떻게 표현할 것인가에 대한 기술적인 구조로 가장 널리 사용되는 것은 RDF와 토픽맵(Topic Maps)을 들 수 있다. 정보조직이나 시멘틱웹 등의 연구에서 자주 등장하는 위의 개념들을 정확하게 이해하고 무엇보다 그 개념들 간의 관계를 알아보는 것이 중요할 것이다. 본 연구에서는 RDF와 토픽맵에서, 정보 즉 표현하고자 하는 대상을 표현하는 방법을 살펴보고, 두 기법간의 상호운용성에 대한 선행연구로 RDF와 토픽맵의 유사점과 차이점을 비교하고자 한다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.115-121
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• 2016

Recently, it has become an important problem to extract semantic objects from videos, which are useful for improving the performance of video compression and video retrieval. In this thesis, an automatic extraction method of moving objects of interest in video is suggested. We define that an moving object of interest should be relatively large in a frame image and should occur frequently in a scene. The moving object of interest should have different motion from camera motion. Moving object of interest are determined through spatial continuity by the AMOS method and moving histogram. Through experiments with diverse scenes, we found that the proposed method extracted almost all of the objects of interest selected by the user but its precision was 69% because of over-extraction.

• Journal of the Korea Safety Management & Science
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• v.15 no.1
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• pp.141-150
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• 2013

In this paper, the learnability of haptic icons was tested as a way of conveying turn-by-turn directions to users involved in navigation interactions with commercial smartphones. To do this, six most distinctive haptic icons were identified from those having different duration of each pulse, interval between pulses, and rhythm. Associations between the selected haptic icons and 3 pairs of navigation directions were analyzed using data gathered from 30 subjects by 7 point Likert scale. The haptic icons were then assigned to proper directions based on the results from that stereotype analysis. The results showed that the commercial smartphone with one linear motor at a fixed location is not capable of making hapticons to have clear directional stereotypes. The hapticons with poor stereotypes has no advantage in learnability compared to those of random assignment.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.3
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• pp.11-23
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• 2011

Recently, Open APIs are getting attention with the advent of Web 2.0. Open APIs are used to combine services and generate new services by Mashup. However, the growing number of available Open APIs raises a challenging issue how to locate the desired APIs. We automatically build ontologies from WSDL, WADL, HTML, and their underlying semantics. The key ingredient of our method is a technique that clusters input/output parameters in the collection of API methods into semantically meaningful concepts, and captures the hierarchical relationships between the terms contained in a parameter. These semantic ontologies allow search engines to support a similarity search for Open APIs based on various protocols such as SOAP, REST, JavaScript, and XML-RPC, and significantly improve the quality of APIs matching by the clustering and hierarchical relationships mechanism.

• Journal of the Korean Society for information Management
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• v.1 no.1
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• pp.78-99
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• 1984

In this paper, the automatic keyword classification which is one of the automatic construction methods of retrieval thesaurus is experimented to the Korean language on the basis that the use of retrieval thesaurus would increase the efficiency of information retrieval in the natural language retrieval system searching machine-readable data base. Furthermore, this paper proposes the application methods. In this experiment, the automatic keyword classification was based on the assumption that semantic relationships between terms can be found out by the statistical patterns of terms occurring in a text.

• International Journal of Internet, Broadcasting and Communication
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• v.5 no.1
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• pp.14-17
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• 2013

RDF data is widely used for exchanging data nowadays to enable semantic web era. This leads to the need for storing and retrieving these data efficiently and effectively. Recently, the structure index in graph-based perspective is considered as a promising approach to deal with issues of complex query graphs. However, even though there are many researches based on structure indexing, there can be a better architectural approach instead of addressing the issue as a part. In this research, we propose architecture for storing, query processing and retrieving RDF data in efficient manner using structure indexing. Our research utilizes research results from iStore and 2 relation-based approaches and we focus on improving query processing to reduce the time of loading data and I/O cost.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.6
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• pp.1257-1265
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• 2004

In this paper, We describe a change set that is to manage historical information and to maintain ontologies during long term. We propose several storage policies of ontology using a change set. A change set includes a change operation set and temporal dimensions. A change operation set is composed with schema change operations and data change operations. We propose three storage policies that are storing all the change sets and storing the change sets and versions periodically, storing the change sets and the versions using sum of change operations. Also, we present the experimental results for evaluating the performance of different storage policies.

• The Journal of Information Technology and Database
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• v.7 no.1
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• pp.55-65
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• 2000

Information semantics is a well-known issue in areas of information systems researches. It describes what data mean, how they are created, where they can be applied to ; thus, it provides indispensable information for management of data. This article proposes to formalize information semantics by the processes that data are created or transformed. A scheme is proposed to describe an information production structure, which is called an information structure graph. An information structure graph is a directed graph, whose leaves are primary input data objects and whose root and internal nodes are output objects. Information semantics is derived from an information structure graph that has data as its root. For this, rules are proposed to manipulate and compare graphs. The structural relationships among information structure graphs are mapped into semantic relationships among data.