• The Transactions of the Korea Information Processing Society
• /
• v.4 no.11
• /
• pp.2745-2755
• /
• 1997

Many large-scale enterprises have developed software systems to build management information system for their business. However, it is hard to maintain share ability of data, compatibility of operation methedology, and interoperability among subsystems when the development project progresses since each distributed team prepares a development plan for its subsystem and must have poor communication problem among those teams. We must apply software configuration management to the whole life cycle of the software system in order to solve those Problems. We need a model and a repository in order to execute configuration management on configuration products like document, data, and source code which are generated through the life cycle of software development. In this paper, we suggest a model for configuration change control where cross- referencing among life cycle Phases and data-sharing are highlighted, and define ER model to use IRDS(Information Resource Dictionary system) and IRD schemas.

• KIPS Transactions on Software and Data Engineering
• /
• v.8 no.8
• /
• pp.331-342
• /
• 2019

This paper proposes a method to generate test cases and test scripts from software requirements written in a controlled natural language, which helps develop reliable embedded software. In the proposed method, natural language requirements are written in a controlled language, the requirements are parsed and then inputs, outputs and operator data are extracted from the requirements. Test cases are generated from the extracted data following test case generation strategies such as decision coverage, condition coverage or modified condition/decision coverage. And then the test scripts, physical inputs of the test cases are generated with help of the test command dictionary. With the proposed method, it becomes possible to directly check whether software properly satisfies the requirements. Effectiveness of the proposed method is verified empirically with an requirement set.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.1
• /
• pp.371-377
• /
• 2022

This study examines whether there are subjects and learners to pay attention to as 'processes' that have not been dealt with in Korean vocabulary education due to prioritizing learning outcomes, educational outcomes, and objects. In addition, the purpose of this study was to examine the educational value of the neologism and to suggest data construction method for it. Proposal to create a 'single-level list' of neologisms as a preliminary work to create a dictionary as a learning material to teach new words to academic purpose learners, taking neologism as the vocabulary in the blind spot and foreign academic purpose learners as learners in the blind spot stage. did The 'single-layered list' is to divide new words by period into coined words, meanings, culture, etc. and construct them as data. Through this study, we will help systematically teach Korean vocabulary by adding vocabulary to be learned as a 'process' to the results of Korean vocabulary education so far.

• Journal of KIISE:Databases
• /
• v.32 no.4
• /
• pp.441-451
• /
• 2005

HTML is mostly stored in native file systems instead of specialized repositories such as a database. Like HTML, XML, the standard for the exchange and the representation of data in the Internet, is mostly resident on native file systems. However. since XML data is irregular and verbose, the disk space and the network bandwidth are wasted compared to those of regularly structured data. To overcome this inefficiency of XML data, the research on the compression of XML data has been conducted. Among recently proposed XML compression techniques, some techniques do not support querying compressed data, while other techniques which support querying compressed data blindly encode data values using predefined encoding methods without considering the types of data values which necessitates partial decompression for processing range queries. As a result, the query performance on compressed XML data is degraded. Thus, this research proposes an XML compression technique which supports direct and efficient evaluations of queries on compressed XML data. This XML compression technique adopts an encoding method, called dictionary encoding, to encode each tag of XML data and applies proper encoding methods for encoding data values according to the inferred types of data values. Also, through the implementation and the performance evaluation of the XML compression technique proposed in this research, it is shown that the implemented XML compressor efficiently compresses real-life XML data lets and achieves significant improvements on query performance for compressed XML data.

• Journal of KIISE:Software and Applications
• /
• v.33 no.1
• /
• pp.114-129
• /
• 2006

Ontology mapping is the task of finding semantic correspondences between two ontologies. In order to improve the effectiveness of ontology mapping, we need to consider the characteristics and constraints of data models used for implementing ontologies. Earlier research on ontology mapping, however, has proven to be inefficient because the approach 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. In this paper, we propose a multi-strategic mapping approach to find correspondences between ontologies based on the syntactic or semantic characteristics and constraints of the topic maps. Our multi-strategic mapping approach includes a topic name-based mapping, a topic property-based mapping, a hierarchy-based mapping, and an association-based mapping approach. And it also uses a hybrid method in which a combined similarity is derived from the results of individual mapping approaches. In addition, we don't need to generate a cross-pair of all topics from the ontologies because unmatched pairs of topics can be removed by characteristics and constraints of the topic maps. For our experiments, we used oriental philosophy ontologies, western philosophy ontologies, Yahoo western philosophy dictionary, and Yahoo german literature dictionary as input ontologies. Our experiments show that the automatically generated mapping results conform to the outputs generated manually by domain experts, which is very promising for further work.

• KIPS Transactions on Software and Data Engineering
• /
• v.3 no.6
• /
• pp.219-230
• /
• 2014

An analysis of dependency relation is a job that determines the governor and the dependent between words in sentence. The dependency relation of predicate is established by patterns and selectional restriction of subcategorization of the predicate. This paper proposes a method of analysis of Korean dependency relation using homograph predicate disambiguated in morphology analysis phase. The disambiguated homograph predicates has each different pattern. Especially reusing a stage transition training dictionary used during tagging POS and homograph, we propose a method of fixing the dependency relation of {noun+postposition, predicate}, and we analyze the accuracy and an effect of homograph for analysis of dependency relation. We used the Sejong Phrase Structured Corpus for experiment. We transformed the phrase structured corpus to dependency relation structure and tagged homograph. From the experiment, the accuracy of dependency relation by disambiguating homograph is 80.38%, the accuracy is increased by 0.42% compared with one of undisambiguated homograph. The Z-values in statistical hypothesis testing with significance level 1% is ${\mid}Z{\mid}=4.63{\geq}z_{0.01}=2.33$. So we can conclude that the homograph affects on analysis of dependency relation, and the stage transition training dictionary used in tagging POS and homograph affects 7.14% on the accuracy of dependency relation.

• The KIPS Transactions:PartB
• /
• v.12B no.7 s.103
• /
• pp.829-840
• /
• 2005

Word Sense Disambiguation(WSD) is one of the most difficult problem in Korean information processing. We propose a WSD model with the capability to filter semantic information using the specific characteristics in dictionary dictions, and nth added information, useful to sense determination, such as statistical, distance and case information. we propose a model, which can resolve the issues resulting from the scarcity of semantic information data based on the word hierarchy system (thesaurus) developed by Ulsan University's UOU Word Intelligent Network, a dictionary-based toxicological database. Among the WSD models elaborated by this study, the one using statistical information, distance and case information along with the thesaurus (hereinafter referred to as 'SDJ-X model') performed the best. In an experiment conducted on the sense-tagged corpus consisting of 1,500,000 eojeols, provided by the Sejong project, the SDJ-X model recorded improvements over the maximum frequency word sense determination (maximum frequency determination, MFC, accuracy baseline) of $18.87\%$ ($21.73\%$ for nouns and inter-eojeot distance weights by $10.49\%$ ($8.84\%$ for nouns, $11.51\%$ for verbs). Finally, the accuracy level of the SDJ-X model was higher than that recorded by the model using only statistical information, distance and case information, without the thesaurus by a margin of $6.12\%$ ($5.29\%$ for nouns, $6.64\%$ for verbs).

• Cross-Cultural Studies
• /
• v.48
• /
• pp.135-191
• /
• 2017

The purpose of this study was to select words with "shared cultural charge" that are unique in French culture and to study cultural content hidden in these words. It also explores the cultural phenomenon of same French borrowed words used in the Korean language. The study was conducted from two perspectives: perspective of internal French culture defined by Galisson and inter-cultural perspective. The first section of this study introduces the theory "lexiculture" and definition of the words "shared cultural charge." In the following section, among main items of 795 borrowed words in the Korean language, we examined seven words in areas such as clothing, food, and housing. We studied content of the French culture according to the following three categories: (1) dictionary definition, (2) cultural phenomena, (3) special phenomenon in idiomatic expression. Our study illustrated a special connotation beyond the dictionary definition of words. In the next section, we examined the birth of a new cultural phenomenon and process of acquiring a new meaning in the Korean language. Finally, we analyzed differences and similarities between linguistic and cultural elements in both cultures. In this study, we provide basic data for inter-cultural education between France and Korea.

• Journal of Convergence for Information Technology
• /
• v.10 no.12
• /
• pp.245-255
• /
• 2020

The purpose of this study was to investigate effects of 'activity program for effective storytelling' on the empathic ability and language teaching efficacy of a story grandmother. The subjects were 51 beautiful story grandmothers in Gangwon, Gyeongsangdo and Seoul. The research tools used the emotional empathy scale of Jeon(2003), and language teaching efficacy scale of Kim and Lee(2011). As for the research procedure, from March 06 to July 27, 2017, an 'activity program for effective storytelling' was conducted. For data analysis, a t-test of the corresponding sample was conducted to find the difference between the pre- and post-scores of the two variables. As a result of the study, first, the cognitive empathy ability between the story grandmother and the young children after applying the 'activity program for effective storytelling' was higher than that of the dictionary. Second, the language teaching efficacy between the story grandmother and the young children after applying the 'activity program for effective storytelling' was higher than that of the dictionary. Therefore, the 'activity program for effective storytelling' suggests that there is a positive effect on improving the cognitive empathic ability and language teaching efficacy of the story grandmothers.

• The Journal of the Acoustical Society of Korea
• /
• v.26 no.6
• /
• pp.250-258
• /
• 2007

Current speech recognition technology s achieved high performance with the development of hardware devices, however it is insufficient for some applications where high reliability is required, such as voice control of powered wheelchairs for disabled persons. For the system which aims to operate powered wheelchairs safely by voice in real environment, we need to consider that non-voice commands such as user s coughing, breathing, and spark-like mechanical noise should be rejected and the wheelchair system need to recognize the speech commands affected by disability, which contains specific pronunciation speed and frequency. In this paper, we propose non-voice rejection method to perform voice/non-voice classification using both YIN based fundamental frequency(F0) extraction and reliability in preprocessing. We adopted a multi-template dictionary and acoustic modeling based speaker adaptation to cope with the pronunciation variation of inarticulately uttered speech. From the recognition tests conducted with the data collected in real environment, proposed YIN based fundamental extraction showed recall-precision rate of 95.1% better than that of 62% by cepstrum based method. Recognition test by a new system applied with multi-template dictionary and MAP adaptation also showed much higher accuracy of 99.5% than that of 78.6% by baseline system.