• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.11-14
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• 2006

의견이나 이해가 서로 맞지 않는 경우 충돌은 발생한다. 유비쿼터스 컴퓨팅 환경에서 서비스를 수행하는 과정에서 발생하는 충돌의 경우 역시, 그 서비스의 요청 및 수행과정에서 발생하는 의견이해의 차이에서 비롯된다. 서비스의 수행을 결심하기 이전에 그 서비스에 연관된 의견이나 이해관계를 파악하고 그들 사이의 이견을 방지한다면, 서비스 사이에서 발생 가능한 대부분의 충돌을 방지할 수 있다. 본 논문에서는 이를 위해 유비쿼터스 컴퓨팅 환경에서 자동으로 서비스를 제공하는 시스템의 입장에서 각 서비스들이 환경과 그 환경 안의 자원들 사이의 관계에 대한 의미를 정의하고 결정함으로써, 다수의 서비스를 충돌 없이 수행할 수 있는 방법을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.300-303
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• 2006

유비쿼터스 컴퓨팅 환경에서 서비스는 개별 사용자의 요구에 의거해 제공되어야 한다. 동일 환경에서 다수의 사용자가 원하는 서비스들이 서로 상충되는 관계를 갖고 있을 때, 충돌이 발생한다. 이러한 충돌이 발생하는 근본 적인 원인은, 서비스 선택 과정에서 찾을 수 있다. 일반적인 서비스 선택과정은 모델링된 환경 안에서 각 사용자들의 개별 프로필을 통해, 그 사용자에게 적합한 서비스를 매칭하는 흐름을 따른다. 문제는 동일한 환경 정보가 각각의 사용자에게 다른 의미로 적용될 수 있다는 점이다. 즉, 현재 온도가 18$^{\circ}C$ 라고 할 때, 춥게 느끼는 사용자가 있을 수 있고, 반대로 덥게 느끼는 사용자가 있을 수도 있다. 이 경우 각각의 사용자에 대해 온도를 높여주는 서비스, 온도를 낮춰주는 서비스가 동시에 수행되게 되고, 충돌은 발생하게 된다. 이에 본 논문에서는 환경을 모델링함에 있어서, 센서 정보에 대한 의미를 단일화함으로써, 동일한 환경 정보가 상반되는 서비스의 조건으로 동작하는 것을 방지하는 방법을 제안한다. 이 방법은 기존의 시스템 오브젝트 혹은 에이전트들 간의 협상 방법보다 통신 작업량을 줄여주고, 환경 모델의 직관적인 구조를 제공함으로써, 보다 효율적인 충돌 방지를 가능하게 해 준다.

• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.819-828
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• 2007

In this paper, we propose a topic maps matching and merging approach based on the syntactic or semantic characteristics and constraints of the topic maps. Previous schema matching approaches have been developed to enhance effectiveness and generality of matching techniques. However they are inefficient because the approaches should transform input ontologies into graphs and take into account all the nodes and edges of the graphs, which ended up requiring a great amount of processing time. Now, standard languages for developing ontologies are RDF/OWL and Topic Maps. In this paper, we propose an enhanced version of matching and merging technique based on topic partitioning, several matching operations and merging conflict detection.

• The KIPS Transactions:PartA
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• v.11A no.6
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• pp.459-468
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• 2004

Sharing XML trees on mobile devices has become more and more popular. Optimistic replication of XML trees for mobile devices raises the need for reconciliation of concurrently modified data. Especially for reconciling the modified tree structures, we have to compare trees by node mapping which takes O($n^2$) time. Also, using semantic based conflict resolving policy is often discussed in the literature. In this research, we focused on an efficient reconciliation method for mobile environments, using edit scripts of XML data sent from each device. To get a simple model for mobile devices, we use the XML list data sharing model, which allows inserting/deleting subtrees only for the repetitive parts of the tree, based on the document type. Also, we use keys for repetitive part subtrees, keys are unique between nodes with a same parent. This model not only guarantees that the edit action always results a valid tree but also allows a linear time reconciliation algorithm due to key based list reconciliation. The algorithm proposed in this paper takes linear time to the length of edit scripts, if we can assume that there is no insertion key conflict. Since the previous methods take a linear time to the size of the tree, the proposed method is expected to provide a more efficient reconciliation model in the mobile environment.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.529-552
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• 2015

This study aims to analyze the placeness of Gwangju Art Street and the changing process of the street, looked through the experiences of life subjects living in this street. For this purpose, at first, history before art street was designated was traced by reviewing geographical characteristics and spatial transformation of the Art Street with the trend of Gwangju art scene and economic political situation. And then, in order to analyze the placeness of Gwangju Art Street, formation factors of placeness are extracted into physical element, behavior element and semantic element. Physical element and behavior element were analyzed through in-depth interview and data analysis for individual and microscopic historical process of life subjects being experienced in the street that is contrary to policy and plan. Finally, a semantic element was identified through questionnaire as to how people recognize current art street through a history being experienced as a venue of conflict of meaning. It is implied that bottom up place making policies that may connect context of the formation of placeness with the viewpoint of life subject in the Art Street is required to be presented now.

• Journal of Broadcast Engineering
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• v.23 no.4
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• pp.536-548
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• 2018

Public data has been transformed from provider-oriented information disclosure to a form of personalized information sharing centered on individual citizens since government 3.0. As a result, the government is implementing policies and projects to maximize the value of public data and increase reuse. This study analyzes the issues related to public data in the news and seeks the status of government agencies and government projects by issue. We conducted semantic analysis on domestic online news and public agency bidding information including public data and conducted the work of linking major key words derived with social and economic values inherent in public data. As a result, major issues related to public data were divided into broader access to public data, growth of new technology, cooperation and conflict among stakeholders, and utilization of the private sector, which were closely related to transparency, efficiency, participation, and innovation mechanisms. Also major agencies of four issues include the Ministry of Strategy and Finance and Seoul, Ministry of Culture, Sports and Tourism and Gyeonggi-do, Ministry of Trade, Industry and Energy and Incheon, and Ministry of Land, Infrastructure and Transport and Gyeongsangbuk-do. Most of the issues are being led by the government.

• Journal of the Korean Geographical Society
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• v.49 no.6
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• pp.949-969
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• 2014

The purpose of this study is to analyze the share of global citizenship education in the 2009 Revised Social Studies (geography area) School Curriculum of the Republic of Korea. I selected the achievement standards of the geography domain in the fifth and sixth grades as the subjects of analysis. The chosen subjects were examined using content analysis: I used KrKwic, a Korean language content analysis tool, to analyze the content and drew a semantic network of the analysis results using UciNet/NetDraw. I found that the geography domain of the 2009 Revised Primary School Curriculum included the concepts of and factors of global citizenship education. However, global citizenship education did not account for a major portion of the curriculum, and the curriculum achievement standards were noticeably nation-state centered. Global citizenship education factors were not closely associated with to other related factors in fact, they even revealed a isolated pattern. These findings suggest that the inclusion of global citizenship education in primary geography education is limited, because the connections between global citizenship education and related contents, such as the environment, sustainable development, conflict, and cooperation, are probably impeded. Globalization accompanies the transformation of territories, identities, and the relations between nation-states and the world, although nation-states continue to play a significant role in the globalized worlds. Therefore global citizenship education, a educational trend focusing on the global community, is particularly important and is required in the geography curriculum of the global era. I expect that the examination undertaken in this study to contribute to future curriculum revisions regarding globalizatin and global citizenship.

• The KIPS Transactions:PartB
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• v.16B no.3
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• pp.225-232
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• 2009

Author name disambiguation is essential for improving performance of document indexing, retrieval, and web search. Author name disambiguation resolves the conflict when multiple authors share the same name label. This paper introduces a novel approach which exploits ontologies and WordNet-based category utility for author name disambiguation. Our method utilizes author knowledge in the form of populated ontology that uses various types of properties: titles, abstracts and co-authors of papers and authors' affiliation. Author ontology has been constructed in the artificial intelligence and semantic web areas semi-automatically using OWL API and heuristics. Author name disambiguation determines the correct author from various candidate authors in the populated author ontology. Candidate authors are evaluated using proposed WordNet-based category utility to resolve disambiguation. Category utility is a tradeoff between intra-class similarity and inter-class dissimilarity of author instances, where author instances are described in terms of attribute-value pairs. WordNet-based category utility has been proposed to exploit concept information in WordNet for semantic analysis for disambiguation. Experiments using the WordNet-based category utility increase the number of disambiguation by about 10% compared with that of category utility, and increase the overall amount of accuracy by around 98%.

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.81-96
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• 2013

Video information retrieval has become a very important issue because of the explosive increase in video data from Web content development. Meanwhile, content-based video analysis using visual features has been the main source for video information retrieval and browsing. Content in video can be represented with content-based analysis techniques, which can extract various features from audio-visual data such as frames, shots, colors, texture, or shape. Moreover, similarity between videos can be measured through content-based analysis. However, a movie that is one of typical types of video data is organized by story as well as audio-visual data. This causes a semantic gap between significant information recognized by people and information resulting from content-based analysis, when content-based video analysis using only audio-visual data of low level is applied to information retrieval of movie. The reason for this semantic gap is that the story line for a movie is high level information, with relationships in the content that changes as the movie progresses. Information retrieval related to the story line of a movie cannot be executed by only content-based analysis techniques. A formal model is needed, which can determine relationships among movie contents, or track meaning changes, in order to accurately retrieve the story information. Recently, story-based video analysis techniques have emerged using a social network concept for story information retrieval. These approaches represent a story by using the relationships between characters in a movie, but these approaches have problems. First, they do not express dynamic changes in relationships between characters according to story development. Second, they miss profound information, such as emotions indicating the identities and psychological states of the characters. Emotion is essential to understanding a character's motivation, conflict, and resolution. Third, they do not take account of events and background that contribute to the story. As a result, this paper reviews the importance and weaknesses of previous video analysis methods ranging from content-based approaches to story analysis based on social network. Also, we suggest necessary elements, such as character, background, and events, based on narrative structures introduced in the literature. We extract characters' emotional words from the script of the movie Pretty Woman by using the hierarchical attribute of WordNet, which is an extensive English thesaurus. WordNet offers relationships between words (e.g., synonyms, hypernyms, hyponyms, antonyms). We present a method to visualize the emotional pattern of a character over time. Second, a character's inner nature must be predetermined in order to model a character arc that can depict the character's growth and development. To this end, we analyze the amount of the character's dialogue in the script and track the character's inner nature using social network concepts, such as in-degree (incoming links) and out-degree (outgoing links). Additionally, we propose a method that can track a character's inner nature by tracing indices such as degree, in-degree, and out-degree of the character network in a movie through its progression. Finally, the spatial background where characters meet and where events take place is an important element in the story. We take advantage of the movie script to extracting significant spatial background and suggest a scene map describing spatial arrangements and distances in the movie. Important places where main characters first meet or where they stay during long periods of time can be extracted through this scene map. In view of the aforementioned three elements (character, event, background), we extract a variety of information related to the story and evaluate the performance of the proposed method. We can track story information extracted over time and detect a change in the character's emotion or inner nature, spatial movement, and conflicts and resolutions in the story.