• Journal of Life Science
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• v.13 no.3
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• pp.280-290
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• 2003

The incorporation of RAPD markers into the previous classical and RFLP genetic linkage maps will facilitate the generation of a detailed genetic map by compensating for the lack of one type of marker in the region of interest. The objective of this paper was to present features we observed when we associated RAPD map from an intraspecific cross of a Glycine max$\times$G. max, 'Essex'$\times$PI 437654 with the public RFLP map developed from an interspecific cross of G. max$\times$G. soja. Among 27 linkage groups of RAPD map, eight linkage groups contained probe/enzyme combination RFLP markers, which allowed us the incorporation of RAPD markers into the public RFLP map. Map position rearrangement was observed. In incorporating L.G.C-3 into the public RFLP linkage group a1 and a2, both pSAC3 and pA136 region, and pA170/EcoRV and pB170/HindIII region were in opposite order, respectively. And, pk400 was localized 1.8 cM from pA96-1 and 8.4 cM from pB172 in the public RFLP map, but was localized 9.9 cM from i locus and 18.9 cM from pA85 in our study. A noticeable expansion of the map distances in the intraspecific cross of Essex and PI 437654 was also observed. Map distance between probes pA890 and pK493 in L.G.C-1 was 48.6 cM, but it was only 13.3 cM in the public RFLP map. The distances from the probe pB32-2 to pA670 and from pA670 to pA668 in L.G. C-2 were 50.9 cM and 31.7 cM, but they were 35.9 cM and 13.5 cM in the public RFLP map. The detection of duplicate loci from the same probe that were mapped on the same or/and different linkage group was another feature we observed.

• Journal of Animal Science and Technology
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• v.46 no.4
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• pp.525-536
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• 2004

The objective of this study was to identify the quantitative traits loci(QTL) for meat quality traits in pigs. Three-generation resource population was constructed from a cross between Korean native boars and Landrace sows. The resource population including founders, $F_1$ and $F_2$ was genotyped for 23 microsatellite markers on chromosome 7. The sex average total length of linkage map on chromosome 7 was estimated 154.6 cM. Meat quality traits including meat pH, meat color, drip loss, shear force, heating loss, crude fat, crude protein, crude ash and water content in muscle were collected from $F_2$ animals. For the QTL mapping, we used $F_2$ QTL Analysis Servlet of QTL express for web-based QTL mapping tools(http://qtl.cap.ed.ac.uk/). The QTLs for CIE-a and CIE-b on SSC7 were significantly detected at 1% and 5% chromosome-wide level, respectively.

• Knowledge Management Research
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• v.22 no.3
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• pp.75-89
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• 2021

A knowledge map should be able to support the referential navigation of knowledge inquiries, i.e., cross- and sequential searches and queries on content relevance-based associated knowledge. This study performs a user-oriented test to verify which type of knowledge map, hierarchical or networked, exhibits superior performance in supporting knowledge inquiries required for problem solving. Both the effectiveness identified by the correct answer rate and the efficiency identified by the number of completion time and reference documents have been revealed superior performance in the networked knowledge map. This study's result can underpin the basic steps to develop more user-friendly and reasonable knowledge services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.445-447
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• 2014

최근에 전자문화지도에 대한 관심이 늘어나면서 다양한 주제를 기반으로 한 전자문화지도들이 연구 및 개발되고 있는 추세이다. 그러나 기존의 전자문화지도들은 대부분 단일 주제로 제작되므로 주제들 간의 연관성 분석이 어렵고, 전자문화지도들이 서로 연계되어 있지 않아 다양한 관점을 기반으로 한 활용이 미흡한 문제점이 있다. 본 논문에서는 이러한 문제점을 해결하기 위하여 하나의 전자문화지도에 레이어 기능을 활용하여 다양한 주제들을 표현하는 방안을 제시한다. 또한, 이를 기반으로 전자문화지도에서의 주제별 중첩 기능을 활용하여 주제들 간의 연계 관계를 효율적으로 파악하고 다양한 주제들의 연관 관계를 통해 새로운 지식을 도출해 낼 수 있는 활용 방안을 제시하고자 한다.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.119-134
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• 2018

A knowledge map as the taxonomy used in a knowledge repository should be structured to support and supplement knowledge activities of users who sequentially inquire and select knowledge for problem solving. The conventional knowledge map with a hierarchical structure has the advantage of systematically sorting out types and status of the knowledge to be managed, however it is not only irrelevant to knowledge user's process of cognition and utilization, but also incapable of supporting user's activity of querying and extracting knowledge. This study suggests a methodology for constructing a networked knowledge map that can support and reinforce the referential navigation, searching and selecting related and chained knowledge in term of contents, between knowledge. Regarding a keyword as the semantic information between knowledge, this research's networked knowledge map can be constructed by aggregating each set of knowledge links in an automated manner. Since a keyword has the meaning of representing contents of a document, documents with common keywords have a similarity in content, and therefore the keyword-based document networks plays the role of a map expressing interactions between related knowledge. In order to examine the feasibility of the proposed methodology, 50 research papers were randomly selected, and an exemplified networked knowledge map between them with content relevance was implemented using common keywords.

• Communications of Mathematical Education
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• v.19 no.1 s.21
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• pp.111-136
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• 2005

초등 수학 교과의 내용을 아동들에게 정확하게 가르치기 위한 목적으로 교사에게 제공되는 교수-학습 자료 지침서로서 교사용 지도서의 역할은 대단히 중요하다. 그러나, 수학을 전문적으로 전공하지 않은 초등교사의 입장에서는 각 차시별로 전개되는 내용들 사이의 연관성이나 위계성에 대한 보다 더 상세한 지도내용에 대한 안내가 필요할 것으로 사료된다. 따라서, 본 연구에서는 초등수학 3-나 단계를 중심으로 각 차시별로 전개되는 내용들 사이의 연관성에 대한 보다 더 상세한 지도내용 뿐만 아니라, 수학사 및 실생활 관련자료, 동기유발 자료 등을 이용하여 수학사 및 교사용 지도서를 수정, 보완하여 재구성한 후, 일선 학급에 투입한 후, 교사들과 아동들의 반응들을 분석하여, 향후 보다 더 개선된 교사용 지도서를 만들 수 있는 아이디어를 제시 하고자 한다.

• Korean Journal of Poultry Science
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• v.42 no.1
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• pp.77-86
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• 2015

Chicken is one of the major livestock, especially for supplying proteins to human. The chicken genome size is approximately one-third compared with that of the human genome and regarded as a valuable model animal for genetics and development biology. In this study, we constructed the genetic linkage map for Korean native chicken (KNC) using 131 microsatellite (MS) and 8 single nucleotide polymorphism (SNP) markers. As a result, the total map length was calculated as 2729.4 cM and the average genetic distance between markers was 19.64 cM. The marker orders and genetic distances were well matched with the consensus linkage map except for the physical order of ADL0278 and MCW0351 in GGA8. In addition, the recombination rates in marcrochromosomes were 3.7 times higher than that of microchromosomes. The average numbers of alleles, expected heterozygosity (Hexp) and polymorphic information content (PIC) values were calculated as 5.5, 0.63 and 0.58, respectively. These results will give useful information for the understanding of genetic structure and QTL studies in KNC.

• Horticultural Science & Technology
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• v.28 no.4
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• pp.664-671
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• 2010

A genetic linkage map was constructed using 188 $F_9$ RILs derived from a cross between $Solanum$ $lycopersicum$ H7996 (resistant to bacterial wilt) and $S.$ $pimpinellifolium$ WVa700 (highly susceptible to bacterial wilt). The map consisted of 361 markers including 260 DArTs, 74 AFLPs, 4 RFLPs, 1 SNP, and 22 SSRs. The resulting linkage map was comprised of 13 linkage groups covering 2042.7 cM. The genetic linkage map had an average map distance between markers of 5.7 cM, with an average DArT marker density of 1/7.9 cM. Based on the distribution of anchor SSR markers, 11 linkage groups were assigned to 10 chromosomes of tomato except chromosomes 5 and 12. The DArT markers were distributed across the genome in a similar way as other markers and showed the highest frequency of clustering (38.8%) at ${\leq}$ 0.5 cM intervals between adjacent markers, which is 3 times higher than AFLPs (13.5%). The present study is the first utilization of DArT markers in tomato linkage map construction.

• The KIPS Transactions:PartD
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• v.18D no.6
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• pp.501-508
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• 2011

A knowledge map, which has been recently applied in various fields, is discovering characteristics hidden in a large amount of information and showing a tangible output to understand the meaning of the discovery. In this paper, we suggested a knowledge map for research trend analysis based on keyword-relation networks which are constructed by using a database of the domestic journal articles in the computer engineering field from 2000 through 2010. From that knowledge map, we could infer influential changes of a research topic related a specific keyword through examining the change of sizes of the connected components to which the keyword belongs in the keyword-relation networks. In addition, we observed that the size of the largest connected component in the keyword-relation networks is relatively small and groups of high-similarity keyword pairs are clustered in them by comparison with the random networks. This implies that the research field corresponding to the largest connected component is not so huge and many small-scale topics included in it are highly clustered and loosely-connected to each other. our proposed knowledge map can be considered as a approach for the research trend analysis while it is impossible to obtain those results by conventional approaches such as analyzing the frequency of an individual keyword.

• 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.