• The Journal of Society for e-Business Studies
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• v.13 no.2
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• pp.1-21
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• 2008

Telematics services are being widely used recently. However, data sharing is restricted because data representations among telematics severs and terminals are not yet standardized. Moreover, changes of some data items can cause the modification of telematics software. To resolve the problem, we define an XML-based markup language, called tele-XML, for the standard representation of telematics data, and design a framework and related schema for the tele-XML. We also implement API libraries and program modules for the processing of tele-XML documents. By using the proposed representation and processing scheme, the previous problem can be resolved.

• Journal of the Korea Safety Management & Science
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• v.12 no.2
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• pp.167-172
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• 2010

EPCIS(EPC Information Service) system is a core component of EPCglobal Architecture Framework offering information of the freights, the time of awareness and the location of awareness on the EPCglobal Network. EPCIS Repository continuously stores and manages mass EPCIS Event input data from a great number of RFID devices simultaneously. The Hybrid DBMS can deal efficiently mass necessary data. This study suggest the plan which can efficiently manage EPCIS Repository using Hybrid DBMS. We offer three schema and stores EPCIS Event data to Altibase DB that can efficiently manage EPCIS Repository using Hybrid DBMS and compare the performance about three schema through simulations.

• Journal of Korean Society of Archives and Records Management
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• v.16 no.3
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• pp.235-256
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• 2016

This study suggested a digital curation framework for supporting the digital policy of institutes that collect memory. As such, it conducted a literature review and an analysis of digital curation models, as well as a focus-group interview of historians and graduate students majoring in historical studies. In this study, digital curation framework refers to an abstract model for supporting policy development and the planning for a high-level view of the archival information service. This implications of this framework are as follows: (1) to emphasize the data life cycle and connection between stages and actions; (2) to make an infra-schema for understanding institutes that create, arrange, or store specific data as the same history contents have to be provided by different institutes and as there are differences in the data's value; (3) to check the present conditions of information services and their systems; (4) to consider the practical applications of contents that have been collected and stored; and (5) to converge all data in one system through the framework and activate diverse works in the context of the framework.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.427-435
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• 2011

The information management system for the national R&D reports on the level of each government department have been operated in order to have special affiliated organizations collect detailed information, construct databases for R&D reports, and operate their information system; thus, the current classification system for the R&D reports on the governmental level is insufficient. Also, each department requires to prepare a standardized electronic original text service system since mutually different electronic original text services have been provided. therefore, this paper sets up the following research goals and detailed research contents. The goals of this study are to establish methods to standardize the forms of national R&D reports and suggest the framework for XML-based national R&D reports services by analyzing the problems in the forms of previous national R&D reports services. As detailed research contents, first, Identify the current R&D electronic original reports services by each government department. Second, this paper analyzed primary overseas science technology information service systems related with national research and development reports and related database schemata. this paper proposed the XML-based national R&D reports service framework through analyzing the problems in the framework of the existing national R&D reports service system and also established and suggested the methods to provide database schema design and report portal services. Lastly, it is expected that this paper will have academic contribution to enhancing R&D investment efficiency by utilizing collaboratively the information and resources related with national R&D through establishing the general information management system for national-dimension R&D reports and also managing science technology information efficiently and developing a user-centered integrated information system.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.43-61
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• 2019

Development of technologies in artificial intelligence has been rapidly increasing with the Fourth Industrial Revolution, and researches related to AI have been actively conducted in a variety of fields such as autonomous vehicles, natural language processing, and robotics. These researches have been focused on solving cognitive problems such as learning and problem solving related to human intelligence from the 1950s. The field of artificial intelligence has achieved more technological advance than ever, due to recent interest in technology and research on various algorithms. The knowledge-based system is a sub-domain of artificial intelligence, and it aims to enable artificial intelligence agents to make decisions by using machine-readable and processible knowledge constructed from complex and informal human knowledge and rules in various fields. A knowledge base is used to optimize information collection, organization, and retrieval, and recently it is used with statistical artificial intelligence such as machine learning. Recently, the purpose of the knowledge base is to express, publish, and share knowledge on the web by describing and connecting web resources such as pages and data. These knowledge bases are used for intelligent processing in various fields of artificial intelligence such as question answering system of the smart speaker. However, building a useful knowledge base is a time-consuming task and still requires a lot of effort of the experts. In recent years, many kinds of research and technologies of knowledge based artificial intelligence use DBpedia that is one of the biggest knowledge base aiming to extract structured content from the various information of Wikipedia. DBpedia contains various information extracted from Wikipedia such as a title, categories, and links, but the most useful knowledge is from infobox of Wikipedia that presents a summary of some unifying aspect created by users. These knowledge are created by the mapping rule between infobox structures and DBpedia ontology schema defined in DBpedia Extraction Framework. In this way, DBpedia can expect high reliability in terms of accuracy of knowledge by using the method of generating knowledge from semi-structured infobox data created by users. However, since only about 50% of all wiki pages contain infobox in Korean Wikipedia, DBpedia has limitations in term of knowledge scalability. This paper proposes a method to extract knowledge from text documents according to the ontology schema using machine learning. In order to demonstrate the appropriateness of this method, we explain a knowledge extraction model according to the DBpedia ontology schema by learning Wikipedia infoboxes. Our knowledge extraction model consists of three steps, document classification as ontology classes, proper sentence classification to extract triples, and value selection and transformation into RDF triple structure. The structure of Wikipedia infobox are defined as infobox templates that provide standardized information across related articles, and DBpedia ontology schema can be mapped these infobox templates. Based on these mapping relations, we classify the input document according to infobox categories which means ontology classes. After determining the classification of the input document, we classify the appropriate sentence according to attributes belonging to the classification. Finally, we extract knowledge from sentences that are classified as appropriate, and we convert knowledge into a form of triples. In order to train models, we generated training data set from Wikipedia dump using a method to add BIO tags to sentences, so we trained about 200 classes and about 2,500 relations for extracting knowledge. Furthermore, we evaluated comparative experiments of CRF and Bi-LSTM-CRF for the knowledge extraction process. Through this proposed process, it is possible to utilize structured knowledge by extracting knowledge according to the ontology schema from text documents. In addition, this methodology can significantly reduce the effort of the experts to construct instances according to the ontology schema.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.3
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• pp.15-23
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• 2008

This paper proposes a CIB framework implementing a ubiquitous smart space. In a ubiquitous smart space, a ubiquitous mobile device recognizes surrounding context, and infers the situation and provides services to users. Ubiquitous mobile devices have a RDF store to manage resources and relevant information efficiently on CIB framework. This store space is flexible on the operations such as addition, modification, deletion of information and response to query by SPARQL. In addition, it provides local information to other ubiquitous mobile devices in the from of XML and stores resource information from other ubiquitous mobile devices into local ubiquitous mobile device for the purpose of discovering external resources.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.1-9
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• 2005

Today, according to tremendous development of B2B e-commerce, B2B e-marketplaces which accomplish various types of transactions through a number of buyers and sellers on online are embossed importantly. However, buyers are unable to search correct products because of inconsistency of product information between buyers and sellers. This paper solved this problem as semantic web technology. Semantic Web is an extension of current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. The Semantic Web aims at machine-processable information. Its underlying technologies are RDF, RDF Schema, and ontology as the shared formal conceptualization of particular domains. In this paper, we present an implementation of Semantic Web enabled search system for B2B E-Marketplace domains. The system exploits OWL as the standard ontology language proposed by W3C and the Jena which is a Semantic Web toolkit, namely a Java framework writing Semantic Web applications. Finally, we summarize our experiences and discuss future research topics.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.623-625
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• 2003

The Semantic Web stands out in the next generation web, recently. In the Semantic Web, any information resources is defined by semantics and semantic links is given among these. It is different from existing web service environment. RDF (Resource Description Framework) is the data model to describe metadata of web resource and is to support for semantic links. And it is much the same as WSDL (Web Serice Description Language). In theis paper, we propose the RDF design method to improve the search performance by integrating RDF data unit with WSDL. We confirm the performance and efficiency of search will be improved by using the proposed method.

• Archives of design research
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• v.16 no.1
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• pp.297-304
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• 2003

The purpose of this study is to explore and understand correlation between an appearance of the web-graphics and rhetorical analysis. This paper was adopted semiotic approaches and four rhetorical tropes as follows metaphor, metonymy, synecdoche, irony. The web-graphics are parts of the web-contents that are increased continuously in the web-space these days. To investigate cgaracteristic of individual web-graphic this study selected semiotic framework and analysis meaning of the rhetorical tropes. The results of this study can be founded as follows: · Rhetorical graphics we produced linguistic features between human and signs for the fundamental characteristic of the signification. · Rhetorical graphics offer to the users the due of the decoding precesses through the narrative structures to symbolic schema. besides, these are operated limited framework of condensation and displacement. · The web-graphics participate human's recognition processes and rhetorical codes in order to investigate the sign-vehicle of the deep-structures.

• International Journal of Computer Science & Network Security
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• v.23 no.2
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• pp.65-78
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• 2023

Investigations on information security factors re- main elusive at small and medium enterprises (SMEs), es- specially for custom-made software solutions. This article aims to investigate, classify, adopt factors from recent literature addressing information security resources. SMEs al- ready have information security in place, but they are not easy to adopt through the negotiation processes between the in-house software development companies and custom-made software clients at SMEs. This article proposes a strategic framework for implementing the process of adoption of the information security factors at SMEs after conducting a systematic snapshot approach for investigating and classifying the resources. The systematic snapshot was conducted using a search strategy with inclusion and exclusion criteria to retain 128 final reviewed papers from a large number of papers within the period of 2001-2022. These papers were analyzed based on a classification schema including management, organizational, development, and environmental categories in software development lifecycle (SDLC) phases in order to define new security factors. The reviewed articles addressed research gaps, trends, and common covered evidence-based decisions based on the findings of the systematic mapping. Hence, this paper boosts the broader cooperation between in-house software development companies and their clients to elicit, customize, and adopt the factors based on clients' demands.