• IE interfaces
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• v.25 no.1
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• pp.21-30
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• 2012

In the past, buyers and suppliers met each other to find common interests off-line in exhibitions and conferences, or through personal connection. These activities were time consuming and costly. With the advent of information era, these activities moved to online market places, where buyers search for suppliers with a set of keywords that are believed to be representative of their requirements. Its fundamental assumption is that all the potential candidates are registered in a certain database. However, recently buyers want to diversify suppliers due to needs of cost competitiveness or frequent new product development. To this end, instead of choosing suppliers from the supplier pool, discovering suppliers from all over the world should be emphasized. In order to enable buyers to describe their requirements and suppliers to capture their manufacturing capabilities via online market places, the semantic differences of terms between buyers and suppliers should be resolved. The paper summarizes various supplier discovery frameworks and prototype systems, which can be employed to expose domestic small-medium enterprises into global buyers in the near future.

• Journal of Computing Science and Engineering
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• v.1 no.1
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• pp.1-30
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• 2007

In this paper we have provided an extensive survey of the databases and other resources related to the current research in bioinformatics and the issues that confront the database researcher in helping the biologists. Initially we give an overview of the concepts and principles that are fundamental in understanding the basis of the data that has been captured in these databases. We briefly trace the evolution of biological advances and point out the importance of capturing data about genes, the fundamental building blocks that encode the characteristics of life and proteins that are the essential ingredients for sustaining life. The study of genes and proteins is becoming extremely important and is being known as genomics and proteomics, respectively. Whereas there are numerous databases related to various subfields of biology, we have maintained a focus on genomic and proteomic databases which are the crucial stepping stones for other fields and are expected to play an important role in the future applications of biology and medicine. A detailed listing of these databases with information about their sizes, formats and current status is presented. Related databases like molecular pathways and interconnection network databases are mentioned, but their full coverage would be beyond the scope of a single paper. We comment on the peculiar nature of the data in biology that presents special problems in organizing and accessing these databases. We also discuss the capabilities needed for database development and information management in the bioinformatics arena with particular attention to ontology development. Two research case studies based on our own research are summarized dealing with the development of a new genome database called Mitomap and the creation of a framework for discovery of relationships among genes from the biomedical literature. The paper concludes with an overview of the applications that will be driven from these databases in medicine and healthcare. A glossary of important terms is provided at the end of the paper.

• The KIPS Transactions:PartD
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• v.18D no.2
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• pp.133-142
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• 2011

To ensure the successful employment of semantic web services, it is essential that they rely on the use of high quality ontologies. However, building such ontologies is difficult and costly, thus hampering web service deployment. This study automatically builds ontologies from WSDL documents and their underlying semantics, and presents discovery methods of similar web service operations using these ontologies. The key ingredient is techniques that cluster parameters in the collection of web services into semantically meaningful concepts, and capture the hierarchical relationships between the words contained in the tag. We implement an operation retrieval system for web services. This system finds out a ranked set of similar operations using a novel similarity measurement method, and selects the most optimal operation which satisfies user's requirements. It can be directly used for the web services composition.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.4
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• pp.177-200
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• 2017

In a new technological environment such as big data and AI, LOD will link record information resources with various data from both inside and outside. At the heart of this connection is the interlinking technology, and interlinked LOD will realize the opening of record information as the highest level of open data. Given the ever-increasing amount of records, automation through interlinking algorithms is essential in building LODs. Therefore, this paper analyzed the structure of record information interlinking with the external data and characteristics of the record information to be considered when interconnecting. After collecting samples from the CAMS data of the National Archives, we constructed a record information's LOD. After that, we conducted a test bed that automatically interlinks the personal information of the record metadata with DBPedia. This confirms the automatic interlinking process and the performance and accuracy of the automation technology. Through the implications of the testbed, we have identified the considerations of the record information resources of the LOD interlinking process.

• Korean Institute of Interior Design Journal
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• v.24 no.5
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• pp.21-30
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• 2015

The visual expression system of space realized in Baroque aesthetics is basically grounded on the philosophical view to the world of the time, that is to say the changes of the thinking system in the Renaissance and ontology based on it. Structural aesthetics in Baroque freed from Plato's system of harmony but grounded on Leibniz's process philosophy formed a crucial background to highlight the formal nature of the whole and build a structure based on the inclusive principle of formativity. Also, to solve problems to realize the order and consistency of forms from the whole, Baroque adopted the nonlinear and nonphysical formative system as the principle of building space in works of art. Combining the order system of nature in the Renaissance with manneristic dynamicity as well as formative principle taking shape geometrically, it did establish a variety of aesthetic concepts based on the results of infiniteness and exaggeration expressed from the two forces, the Renaissance and mannerism. This study has found that such Baroque aesthetics did overcome classical planeness and draw continuous mobility from the structures and forms based on that with the transborder concepts of structures, the components of space, as an ultimate system of formative expression. Moreover, this author has drawn and analyzed with the cases of the 17th-century art and architecture the transborder elements manifesting the nature of diverse formative visual elements produced in artistic expressions with that principle of aesthetics, that is the intangible concept of Baroque. Based on that, this researcher intends to come up with technical solutions to solve a lot of environmental and architectural problems we are severely facing nowadays in terms of environmental, physical, and emotional aspects with the theoretical clues and results acceptable to this contemporary era.

• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.49-71
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• 2021

Users who intend to utilize knowledge to actively solve given problems proceed their jobs with cross- and sequential exploration of associated knowledge related each other in terms of certain criteria, such as content relevance. A knowledge map is the diagram or taxonomy overviewing status of currently managed knowledge in a knowledge-base, and supports users' knowledge exploration based on certain relationships between knowledge. A knowledge map, therefore, must be expressed in a networked form by linking related knowledge based on certain types of relationships, and should be implemented by deploying proper technologies or tools specialized in defining and inferring them. To meet this end, this study suggests a methodology for developing the knowledge graph-based knowledge map using the Graph DB known to exhibit proper functionality in expressing and inferring relationships between entities and their relationships stored in a knowledge-base. Procedures of the proposed methodology are modeling graph data, creating nodes, properties, relationships, and composing knowledge networks by combining identified links between knowledge. Among various Graph DBs, the Neo4j is used in this study for its high credibility and applicability through wide and various application cases. To examine the validity of the proposed methodology, a knowledge graph-based knowledge map is implemented deploying the Graph DB, and a performance comparison test is performed, by applying previous research's data to check whether this study's knowledge map can yield the same level of performance as the previous one did. Previous research's case is concerned with building a process-based knowledge map using the ontology technology, which identifies links between related knowledge based on the sequences of tasks producing or being activated by knowledge. In other words, since a task not only is activated by knowledge as an input but also produces knowledge as an output, input and output knowledge are linked as a flow by the task. Also since a business process is composed of affiliated tasks to fulfill the purpose of the process, the knowledge networks within a business process can be concluded by the sequences of the tasks composing the process. Therefore, using the Neo4j, considered process, task, and knowledge as well as the relationships among them are defined as nodes and relationships so that knowledge links can be identified based on the sequences of tasks. The resultant knowledge network by aggregating identified knowledge links is the knowledge map equipping functionality as a knowledge graph, and therefore its performance needs to be tested whether it meets the level of previous research's validation results. The performance test examines two aspects, the correctness of knowledge links and the possibility of inferring new types of knowledge: the former is examined using 7 questions, and the latter is checked by extracting two new-typed knowledge. As a result, the knowledge map constructed through the proposed methodology has showed the same level of performance as the previous one, and processed knowledge definition as well as knowledge relationship inference in a more efficient manner. Furthermore, comparing to the previous research's ontology-based approach, this study's Graph DB-based approach has also showed more beneficial functionality in intensively managing only the knowledge of interest, dynamically defining knowledge and relationships by reflecting various meanings from situations to purposes, agilely inferring knowledge and relationships through Cypher-based query, and easily creating a new relationship by aggregating existing ones, etc. This study's artifacts can be applied to implement the user-friendly function of knowledge exploration reflecting user's cognitive process toward associated knowledge, and can further underpin the development of an intelligent knowledge-base expanding autonomously through the discovery of new knowledge and their relationships by inference. This study, moreover than these, has an instant effect on implementing the networked knowledge map essential to satisfying contemporary users eagerly excavating the way to find proper knowledge to use.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.1-10
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• 2017

Open data has received a lot of attention from around the world. The Korean government is also making efforts to open government data. However, despite the quantitative increase in public data, the lack of data is still pointed out. This paper proposes a method to improve data sharing and utilization by semantically linking public data. First, we propose a knowledge model for expressing administrative districts and their semantic relationships in Korea. An administrative district is an administrative unit that divides the territory of a nation, which is a unit of politics, according to the purpose of the state administration. The knowledge model of the administrative district defines the structure of the administrative district system and the relationship between administrative units based on the Local Autonomy Act. Second, a knowledge graph of the administrative districts is introduced. As a reference information to link public open data at a semantic level, some characteristics of a knowledge graph of administrative districts and methods for linking heterogeneous public open data and improving data quality are addressed. Finally, some use cases are addressed for interlinking between the knowledge graph of the administrative districts and public open data. In particular, national administrative organisations are interlinked with the knowledge graph, and it demonstrates how the knowledge graph can be utilised for improving data identification and data quality.

• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.341-371
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• 2017

Recently, the web service environment has changed from document-centered to data-oriented focus, and the Linked Open Data (LOD) exists at the core of the new environment. Specific procedures and methods were examined to build the LOD of records information in accordance with this trend. With the service sustainability of small-scale archive in consideration, an exemplification on LOD building process by utilizing open source software was developed in this paper. To this end, a 5-step service framework for LOD construction was proposed and applied to a collection of diary records from 'Human and Memory Archive'. Proof of Concept (POC) utilizing open source softwares, Protege and Apache Jena Fuseki, was conducted according to the proposed 5 step framework. After establishing the LOD of record information by utilizing the open source software, the connection with external LOD through interlinking and SPARQL search has been successfully performed. In addition, archives' considerations for LOD construction, including improvement on the quality of content information, the role of the archivist, were suggested based on the understanding obtained through the LOD construction process of records information.

• The Korean Journal of Archival Studies
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• no.38
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• pp.225-264
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• 2013

The Purpose of this study is to analyze an active discussion in North America about the issue of community archives governance which mainly focused on 'participatory archives' model and from it, draws implications for the present stage of domestic community archives development. Traditionally in the United States and Canada, local community archives have been built mostly by mainstream cultural institutions such as public archives, public libraries, museums, and historical societies as a part of comprehensive documentation of the society at large. At the same time, they have been processed and managed in accordance with the institution's collection development policy. As a result, most community archives in North America are characterized as top-down community archives model (in contrast with down-up model of 'independent' community archives as a part of grass roots movement in the UK). Recently, the community archives in North America with these characteristics try to overcome their limitations, which result in 'the others' of community archives, through governance, that is, community-institution partnership. Participatory archives model which assumes active community participation in all archives processes is being suggested by archival communities as the effective alternative of governance model of top-down community archives. This discussion of community archives governance suggests progressive direction for the present stage of domestic community archives, which has been built mostly by various mainstream cultural institutions and still has been stayed in 'about the community' stage. Particularly, community outreach strategies that participatory archives model concretely suggests are useful as a conceptual framework in building community archives based on community-institution partnership in reality.