• Journal of KIISE:Software and Applications
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• v.28 no.11
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• pp.822-832
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• 2001

We have implemented an inductive learning system that learns PROSPECTOR-rule-style classification rules from sets of examples. In our a approach, a genetic algorithm is used in which a population consists of rule-sets and rule-sets generate offspring through the exchange of rules relying on genetic operators such as crossover, mutation, and inversion operators. In this paper, we describe our learning environment centering on the syntactic structure and meaning of classification rules, the structure of a population, and the implementation of genetic operators. We also present a method to evaluate the performance of rules and a heuristic approach to generate rules, which are developed to implement mutation operators more efficiently. Moreover, a method to construct a classification system using multiple learned rule-sets to enhance the performance of a classification system is also explained. The performance of our learning system is compared with other learning algorithms, such as neural networks and decision tree algorithms, using various data sets.

• The Journal of Society for e-Business Studies
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• v.13 no.2
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• pp.213-223
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• 2008

The efficient discovery of services from a large scale collection of services has become an important issue[7, 24]. We studied a syntactic method for Web service discovery, rather than a semantic method. We regarded a service discovery as a retrieval problem on the proprietary XML formats, which were service descriptions in a registry DB. We modeled services and queries as probabilistic values and devised similarity-based retrieval techniques. The benefits of our way are follows. First, our system supports ranked service retrieval by keyword search. Second, we considers both of UDDI data and WSDL definitions of services amid query evaluation time. Last, our technique can be easily implemented on the off-theshelf DBMS and also utilize good features of DBMS maintenance.

• The Journal of Society for e-Business Studies
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• v.12 no.2
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• pp.111-132
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• 2007

Developing and managing Web applications are more complex than ever because of their growing functionalities, advancing Web technologies, increasing demands for integration with legacy applications, and changing content and structure. All these factors call for a more inclusive and comprehensive Web application design method. In response, we propose a context-based Web application design methodology that is based on several classification schemes including a Webpage classification, which is useful for identifying the information delivery mechanism and its relevant Web technology; a link classification, which reflects the semantics of various associations between pages; and a software component classification, which is helpful for pinpointing the roles of various components in the course of design. The proposed methodology also incorporates a unique Web application model comprised of a set of information clusters called compendia, each of which consists of a theme, its contextual pages, links, and components. This view is useful for modular design as well as for management of ever-changing content and structure of a Web application. The proposed methodology brings together all the three classification schemes and the Web application model to arrive at a set of both semantically cohesive and syntactically loose-coupled design artifacts.

• Journal of the Korean housing association
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• v.23 no.1
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• pp.89-96
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• 2012

The purpose of this study is to find out the characteristics of activity areas according to the age difference and provide the alternatives for space planning of activity areas in classroom of childcare centers. This study used the content analysis method for field survey data collected from 36 classrooms of 9 childcare centers in the Daejeon area. Floor plans were converted to Autocad drawings to analyze the characteristics of activity areas. The results of this study were as follows; 1) In case of 0 to 2-year-old classrooms, they had 6 activity areas such as gross-motor area, role play, block building, language, creative expression, exploration/manipulation area. The activity area with the most low frequency was gross-motor area. 2) In case of 0 to 2-year-old classrooms, the size of activity area was in order of gross-motor area > role play > block building > language > creative expression > exploration/manipulation area. In case of 3 to 5-year-old classrooms, the size of activity area was in order of language > art > role play > math > block building > science > tone and rhythmic area. 3) The central areas with easy access in 0 to 2-year-old classrooms were Large-motor and Imaginary Play Areas. Also, more isolated areas were Manupulatives and Block Areas. The central areas with easy access in 3 to 5-year-old classrooms were Arts, Numbers and Manupulatives. While more isolated areas were Music, Movement and Science Areas.

• The Transactions of the Korea Information Processing Society
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• v.1 no.1
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• pp.129-139
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• 1994

This paper presents a morphological analysis method for the Korean language. The characteristics and adjacency information of the words can be obtained from sentences in a large corpus. Generally a word can be analyzed to a result by applying the adjacency attributes and rules. However, we have to choose one from the several results for the ambiguous words. The collected morpheme's adjacency attributes and relations with neighbor words are recorded in a well designed dictionaries. With this information, abbreviated words as well as ambiguous words can be almost analyzed successfully. Efficiency of morphological analyzer depends on the information in the dictionaries. A morpheme dictionary and a phrase dictionary have been designed with lexical database, and necessary information extracted from the corpus is stored in the dictionaries.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.541-548
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• 2016

The use of social media is already essential as a source of information for listening user's various opinions and monitoring. We define social 'risks' that issues effect negative influences for public opinion in social media. This paper aims to discriminate various linguistic features and reveal their effects for building an automatic classification model of social risks. Expecially we adopt a word embedding technique for representation of linguistic clues in risk sentences. As a preliminary experiment to analyze characteristics of individual features, we revise errors in automatic linguistic analysis. At the result, the most important feature is NE (Named Entity) information and the best condition is when combine basic linguistic features. word embedding, and word clusters within core predicates. Experimental results under the real situation in social bigdata - including linguistic analysis errors - show 92.08% and 85.84% in precision respectively for frequent risk categories set and full test set.

• The Transactions of the Korea Information Processing Society
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• v.6 no.2
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• pp.512-521
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• 1999

SGML, defined as the ISO 8879, is a meta-language to define a document type, used as basic format for electronic documents. Since an SGML document is composed of a document type definition and a document instance conforms to the definition, it is necessary for SGML document authoring tools to compose and validate document type and document instance. In present, formal models and procedures for SGML documents are not defined, it's not easy to construct such tools. We propose a model of SGML authoring tool consists of SGML parser, document type definition editor, SGML document editor and style editor. We also introduce and implement formal procedure for each component. For user convenience, we adopted icon based visual programming method, and solved the HANGUL problems. The SGML authoring tool is implemented I Windows NT system using java and C++ programming language.

• The KIPS Transactions:PartB
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• v.10B no.1
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• pp.41-46
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• 2003

This thesis composes separated words in text for extracting keywords from Japanese, proposes extracting indexing keywords which consist of a compound noun using words and sentences information with the rules in the sentences. It constructs generative rules of compound nouns to be based In dependence as a result of analysing character of keywords in the text not the same way as before. To hold other extracting keywords and the content of sentence, and suggest how to decide importance concerned some restriction and repetition of words about generative rules. To verify the validity of keywords extracting, we have used titles and abstracts from Japanese thesis 65 files about natural language and/or voice processing, and obtain 63% in outputting one in the top rank.

• The Transactions of the Korea Information Processing Society
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• v.3 no.3
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• pp.543-563
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• 1996

In this paper, we propose a Timed Fuzzy Petri Net(TFPN) model as a new model of real-time fuzzy control. The TFPN model, which is useful for fuzzy inference and fuzzy control is an integrated model of Timed PetriNet and Fuzzy Petri Net. Additionally, a Timed Fuzzy Control Language is defined as a textual specification model of fuzzy control rues, and proposed a TFPN modeling method. The TFPN model is a Petri Net formalism of fuzzy control systems. Execution rule is consisted of marking(i.e,fuzzyfication) and firing(i.e,inference and defuzzyfication) procedures. A simple case work by using TFPN model shows us computing time of inference and defuzzyfication is low and uncertainty and visibility of fuzzy control rule are modeled effectively.

• The Transactions of the Korea Information Processing Society
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• v.4 no.11
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• pp.2756-2768
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• 1997

The software Process can be defined as the set of activities, rules, procedures, techniques and tools used within the production of software. A software process model is a conceptual representation of a real world software Process and can be described by process programming languages. In this paper, we present the language constructs of SimFlex designed for object-based software process programming. The design of SimFlex is based on the object concept, so that it can model complex software processes concisely both in syntax and semantics. Since the language constructs of SimFlex are derived from the analysis of major PSEEs and their associated process programming languages, SimFlex includes the core characteristics required for a desirable object-based process programming language. In addition, SimFlex is designed to act as a template software process definition language which could be included in specific PSEEs through customization appropriate to those PSEEs.