• Journal of KIISE:Databases
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• v.35 no.2
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• pp.132-142
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• 2008

In biological domain, there exist a variety of protein analysis databases which have their own meaning toward the same target of protein. If we integrate these scattered heterogeneous data efficiently, we can obtain useful information which otherwise cannot be found from each original source. Reflecting the characteristics of biological data, each data source has its own syntax and semantics. If we describe these data through RDF(S) models, one of the Semantic Web standards, we can achieve not only syntactic but also semantic integration. In this paper, we propose a new concept of integration layer based on the RDF unified schema. As a conceptual model, we construct a unified schema focusing on the protein information; as a representational model, we propose a technique for the wrappers to aggregate necessary information from the relevant sources and dynamically generate RDF instances. Two example queries show that our integration layer succeeds in processing the integrated requests from users and displaying the appropriate results.

• The Journal of the Korea Contents Association
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• v.5 no.3
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• pp.209-215
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• 2005

In this paper, we describe the answer pattern for definitional question-answering system. The .answer extraction method of a definitional question-answering system is different from the general answer extraction method because it presents the descriptive answer for a definitional question. The definitional answer extraction using the definitional answer pattern can extract the definitional answer correctly without the semantic analysis. The definitional answer pattern is consist of answer pattern, conditional rule and priority to extract the correct definitional answer. We extract the answer pattern from the definitional training corpus and determine the optimum conditional rule using F-measure. Next, we determine the priority of answer patterns using precision and syntactic structure. Our experiments show that our approach results in the precision(0.8207), the recall(0.9268) and the F-measure(0.8705). It means that our approach can be used efficiently for a definitional question-answering system.

• The Journal of the Korea Contents Association
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• v.7 no.7
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• pp.50-59
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• 2007

This paper describes a question analysis and expansion based on semantics for on efficient information retrieval. Results of all information retrieval systems include many non-relevant documents because the index cannot naturally reflect the contents of documents and because queries used in information retrieval systems cannot represent enough information in user's question. To solve this problem, we analyze user's question semantically, determine the answer type, and extract semantic features. And then we expand user's question using them and syntactic structures which are used to represent the answer. Our similarity is to rank documents which include expanded queries in high position. Especially, we found that an efficient document retrieval is possible by a question analysis and expansion based on semantics on natural language questions which are comparatively short but fully expressing the information demand of users.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.3
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• pp.352-367
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• 2003

The syntactic and semantic characteristics of a computer program can be represented by the keywords sequence extracted from the source code. Therefore the similarity and the difference between two programs can be clearly figured out by comparing the keyword sequences obtained from the given programs. Various methods for measuring the similarity of two different sequences have been intensively studied already in bioinformatics on biological genetic sequence manipulation. In this paper, we propose a new method for measuring the similarity of two different programs and detecting the partial plagiarism by exploiting the sequence alignment techniques. In order to evaluate the performance of the proposed method, we experimented with the actual Program codes submitted by 70 students attending a Data Structure course )tow 2001. The experimental results show that the proposed method is more effective and powerful than the fingerprint method which is the most commonly used for the Plagiarism detection.

• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.351-363
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• 2015

Discourse analysis is useful for examining discourse characteristics of dementia patients and differentiating them from normal adults. However, inconsistent tasks, transcription methods and measures have been utilized, thus analyses were inevitably unsystematic. The purpose of this study was to investigate tasks, transcription methods and measures of discourse studies in dementia. Studies on dementia discourses written in English were collected via Scopus database containing abstracts and citations from 2005 to 2014, and were analyzed in detail. From the results, the most frequently used task was 'storytelling-topic'. It was observed that use of consistent transcription conventions rendered more reliable transcription data. Measures could be categorized into coherence, cohesion, productivity, propositional syntactic lexical analysis, and fluency, and each category belonged to discourse processing levels (i.e., processing of conceptual networks, propositions, and natural language units). In conclusion, future research warrants not only utilization of discourse tasks depending on dementia types and features, but also application of consistent transcription conventions. Additionally, measures based on the discourse processing theory would enable us to systematically interpret discourse studies.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.4
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• pp.44-53
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• 2010

Program plagiarism is a significant factor to reduce the quality of education in computer programming. In this paper, we propose the technique of identifying similar or identical programs in order to prevent students from reckless copying their programming assignments. Existing approaches for identifying similar programs are mainly based on fingerprints or pattern matching for text documents. Different from those existing approaches, we propose an approach based on the program structur. Using paring progrmas, we first transform programs into XML documents by representing syntactic components in the programs with elements in XML document, then run X-tree Diff+, which is the change detection algorithm for XML documents, and produce an edit script as a change. The decision of similar or identical programs is made on the analysis of edit scripts in terms of program plagiarism. Analysis of edit scripts allows users to understand the process of conversion between two programs so that users can make qualitative judgement considering the characteristics of program assignment and the degree of plagiarism.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.6
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• pp.1103-1110
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• 2013

This paper proposes a method of identifying ownership of personal information in Social Network Service. In detail, the proposed method automatically decides whether any location information mentioned in twitter indicates the publisher's residence area. Identifying ownership of personal information is necessary part of evaluating risk of opened personal information online. The proposed method uses a set of decision rules that considers 13 features that are lexicographic and syntactic characteristics of the tweet sentences. In an experiment using real twitter data, the proposed method shows better performance (f1-score: 0.876) than the conventional document classification models such as naive bayesian that uses n-gram as a feature set.

• The KIPS Transactions:PartB
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• v.13B no.1 s.104
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• pp.21-26
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• 2006

The semantic web is an emerging paradigm in the information retrieval and Web-based system. This paper deals with a Web change detection system which employs the semantic web and ontology. While existing Web change detection systems detect the syntactic change, the proposed system focuses on the detection of the semantic change. The system detects the change only when the web has semantic change. To achieve this, the system employs the domain-specific ontology (e.g., computer science professional person information in the paper). The Web pages regarding before and after change are converted according to the ontology. Then the comparison is performed. The experimental result shows the semantic-based change detection is more useful than the syntax-based change detection.

• The Transactions of the Korea Information Processing Society
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• v.7 no.8
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• pp.2505-2513
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• 2000

This paper describes the design and implementation of a CORBA/SNMP gateway. The gateway is used to integrate traditional network management systems using CORBA. The integrated network management system uses World Wide Web (WWW) and CORBA. WWW provides a platform-independent and easy-to-use interface to distributed applications and CORBA is used to integrate different network management models seamlessly. To support the traditional managed objects without modification, we use a translation gateway between two different management models. The integrated network management server consists of a WWW server with enhancement for network management and translation gateways for converting management operations between different management models. This paper describes the design and implementation of a CORBA/SNMP gateway. The CORBA/SNMP gateway provides a syntactic and dynamic translation between CORBA and SNMP management models. The gateway provides a CORBA view to SNMP MIBs and allows the CORBA managers to access SNMP agents via CORBA operations. The CORBA/SNMP gateway also delivers the traps occurred in the SNMP agents to the CORBA managers that want to receive the trap information.

• Journal of the Korean Society of Costume
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• v.54 no.7
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• pp.41-54
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• 2004

This study purposed to apply function form content, the three concepts that have been discussed by many philosophers since ancient times, to fashion design. Specific research goals are : first, to define fashion design based on the three concepts : and second, to examine how each of the three concepts function-oriented, form-oriented and content-oriented design have been expressed in women's fashion in the $20^{th} century. For these purposes. the author considered Morris' semiotics, which is the theoretical background of the three concepts, reviewed previous researches in design area, and applied the findings to fashion design. According to the result of applying the threefold structure of semiotics. which is the theoretical background of the three concepts, the pragmatic dimension of fashion design comprehends all functional rules related to the use of dress such as body motion and protection, health and safety. air flow and durability, and its syntactic dimension comprehend all the formal elements of visual design such as the structure, shape, line, color and material of dress. The semantic dimension of fashion design includes the symbolic meanings of dress expressed by emotion, sentiment and images. The three dimensions exist interdependently with one another. According to the result of considering the characteristics of the three concepts in the scope of women's fashion in the $20^{th} century. function-oriented design is characterized by practicality and simplicity, and has been expressed as the fashion of functionalism in the 1920s, that of minimalism in the 1960s, and the basic style from 1970s to 1980s, 1990s and the present. Form-oriented design has pursued aestheticism, putting stress upon form, and has been expressed with organic shapes imitating patterns found in nature in the 1950s and with optical art fashion in the 1960s. Content-oriented design attaches importance to transmission of delicate meanings related to the mental world of human beings, and is represented with symbolic forms. Such a characteristic has been expressed in fashion in the early 20th century influenced by surrealism and, with various types of design breaking established forms as well as metaphors and humors that characterize design in the late 20th century.