• KIISE Transactions on Computing Practices
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• v.23 no.4
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• pp.226-231
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• 2017

Word representation, an important area in natural language processing(NLP) used machine learning, is a method that represents a word not by text but by distinguishable symbol. Existing word embedding employed a large number of corpora to ensure that words are positioned nearby within text. However corpus-based word embedding needs several corpora because of the frequency of word occurrence and increased number of words. In this paper word embedding is done using dictionary definitions and semantic relationship information(hypernyms and antonyms). Words are trained using the feature mirror model(FMM), a modified Skip-Gram(Word2Vec). Sense similar words have similar vector. Furthermore, it was possible to distinguish vectors of antonym words.

• The Journal of Society for e-Business Studies
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• v.9 no.3
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• pp.95-112
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• 2004

Recently, extensive research has been conducted on classification systems for managing a huge amount of information with various froms in the construction industry. Classification Systems such as ISO/DIS 12006-2 and MasterFormathave been proposed as international standards, and accommodating them for Korean situation the Korean Ministry of Construction and Transportation has proposed the Unified Construction Information Classification System. As the construction industry becomes bigger and more complicated, however, the need for higher-level semantic representation of construction information has been recognized. In this study we develop a prototype ontology based upon the Unified Construction Information Classification and suggest a practical way of applying an ontology technology to the construction information systems. An ontology is a useful tool to effectively manageconstruction information and to support interoperability among heterogeneous information systems by clarifying the semantic relationship between concepts.

• Journal of architectural history
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• v.11 no.1 s.29
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• pp.49-64
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• 2002

The recently published papers and essays regarding 'tectonic' bring us to rumination of its importance on comprehending modern architectural process. Many architectural theorists may seem to seek the substance of architecture through the discussion of 'tectonic' for the purpose of overcoming the dilemma of representation which can be easily found in modern architectural forms. Their emphasizing on its double-faced aspect as the manner of representation, that is semantic and aesthetic, may imply the significance of philosophical approach especially to the recent architectural phenomena. From this point, it ought to be meaningful to manifest etymological connection between the terms with semantic analysis and interpret the substance and ontological meaning of 'tectonic' referring Martin Heidegger's existential philosophy. Besides the works of Carlo Scarpa, that are known as the art of making, are exampled to prove the way how the ontological meaning of practical act is exposed on an artwork. The idea of 'tectonic' connotes not only technological aspect as construction of form and space, but also ontological aspect as joint or detail, that is the result of logos. The 'tectonic' means etymologically 'joint' having double-meaning structure, technology and aesthetics. It means 'detail' as minimum units of architectural form and as sites where making relationship or connection takes place in the way of ontological apprehension. The 'detail' as the place of innovation and invention implies the culture of an area, and expresses craftsmanship, which modem architecture buries in oblivion. This study aims to deviate from the aesthetical commercialization in which the modern architecture tends to fall, and further, propose the possible way to succeed traditional locality in an epistemological point of view.

• The Journal of Korean Association of Computer Education
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• v.9 no.6
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• pp.29-39
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• 2006

The Web is evolving quantitatively into an explosive development. However, users usually have heavy burden of searching information because of the absence of contextual meaning on the Web. Due to an enormous amount of information, users have to endure for finding strong cohesive keywords by themselves and read each of the documents with enduring effort. This paper proposes an efficient method of searching more relative documents than current KEM-based searching systems on the Web by using contextual meaning. We designed a domain ontology on computer hardware, and a searching system which was searching those e-Learning objects. Owing to the Ontology-applied search system, information such as educational materials and related multimedia can be easily provided to the users. Further, learners could be informed of relationship of knowledge, e.g., class hierarchy, properties and values, and so on. The request results are semantically related to users' needs, and thus the system provides a learner-centered searching.

• Journal of KIISE:Software and Applications
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• v.32 no.5
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• pp.428-437
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• 2005

An ontology consists of a set and definition of concepts that represents the characteristics of a given domain and relationship between the elements. To reduce time-consuming and cost in building ontology, this paper proposes a semiautomatic method to build a domain ontology using the results of text analysis. To do this, we Propose a terminology processing method and use the extracted concepts and semantic relations between them to build ontology. An experiment domain is selected by the pharmacy field and the built ontology is applied to document retrieval. In order to represent usefulness for retrieving a document using the hierarchical relations in ontology, we compared a typical keyword based retrieval method with an ontology based retrieval method, which uses related information in an ontology for a related feedback. As a result, the latter shows the improvement of precision and recall by $4.97\%$ and $0.78\%$ respectively.

• Science of Emotion and Sensibility
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• v.10 no.3
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• pp.393-402
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• 2007

The purpose of this study is to provide the design direction based on consumer sensitivity through the structure between product design preferences - sensitivity image - design elements. For the purpose, we selected men's shaver products for this study subject and collected 164 shavers' pictures released between 2001-2007 years. Then, we carried out a pilot test for collection of sensitivity images about shavers, made a survey using semantic differential method and analyzed the survey. According the result, consumers preferred the sensitivity images "luxury, attractive, stable", design elements satisfied the preference images were "form of body is not a circular arcs or a polygon, material is steel, button is push style, and a color of body is not brown." This study can provide a base of the causal relationship between design preferences - sensitivity image - design elements and a design process to predict consumer sensitivity-oriented design.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.3
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• pp.35-46
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• 2016

Social network services (SNS) that help to build relationship network and share a particular interest or activity freely according to their interests by posting comments, photos, videos,${\ldots}$ on online communities such as blogs have adopted and developed widely as a social phenomenon. Several researches have been done to explore the pattern and valuable information in social networks data via text mining such as opinion mining and semantic analysis. For improving the efficiency of text mining, keyword-based approach have been applied but most of researchers argued the limitations of the rules of Korean orthography. This research aims to construct a database of non-standard Korean words which are difficulty in data mining such abbreviations, slangs, strange expressions, emoticons in order to improve the limitations in keyword-based text mining techniques. Based on the study of subjective opinions about specific topics on blogs, this research extracted non-standard words that were found useful in text mining process.

• Journal of Science of Art and Design
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• v.2
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• pp.239-293
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• 2000

The paper aims to study how to describe the rigorous position on which semantic elements are laid, within the visual space. This purpose is, first of all, for the construction of visual syntactical semantics of the visual space. For this aim, the preliminary research begins with some definitions on : 1) visual space, visual design, visual syntactical semantic meaning, 2) position, sequence of position, 2-dim. sequence of position, and 3) 2-dim. numerical series of position, harmonious dynamic values. Here, The main issue is to define the position in general. To solve this problem, the researcher surveyed the positions on which the sets of pixemes are set up. The results are as follows ; 1. As far as the positions in visual space are concerned, they are the possible locations permitted in the visual patches. They are not the factual but the possible positions. 2.The position value that the sequential point has is not arithmetical but harmonious-dynamic, for it is not permitted for its own sake, but for the person, that is to say, for the viewer's visual perception. 3. The harmonious-dynamic value of positional sequence can be composed of the 2-dimensional successive numerical series which is, in turn, composed of the primordial 3 values x0, $\mu0$, y0. Here, the $\mu0$ is the harmonious mean value of x0 and y0. The x0 and y0 are, therefore, of the mutual dynamic relationship. 4. From this, the 2-dim general $\Delta-TABLE$ of the numerical series of position in visual design could be acquired through development of the primordial 3 values into the $X_i,\;Y_i$, orbit values.

• Journal of IKEEE
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• v.7 no.2 s.13
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• pp.144-155
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• 2003

In this paper, a conceptual data model, called the UDM(Unified Data Model), to efficiently represent database structures related with object technology and complex structured data, is proposed. This model integrates major features of modern data models, such as E-R model, Semantic Object Model, and UML, especially from the viewpoint of database design. This model is basically a simplified, but extended version of the Object-Relationship Model, which was proposed to model complex structures of temporal-spatial multimedia data. This model incorporates some of the important semantic and structural information of modern database applications and it is designed to support all of the major logical database models, including relational, object-relational, object-oriented, and (semi-)structured databases. A special diagrammatic technique, called the UDD(Unified Data Diagram), is introduced as a tool for database design. Also, possible ways to derive logical views of data from this unified data model are presented. The proposed model can be utilized as a convenient and practical tool for conceptual database designs.

• Journal of KIBIM
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• v.6 no.3
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• pp.34-41
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• 2016

The previous studies argue that using the semantic properties of BIM objects is efficient for simulating the behaviors of autonomous, computer agents, called virtual-users, but such assumption is not proven via evidence-based research approaches. Hence, this present study aims to investigate the empirical effects of a human behavior simulation model equipped the semantics of spaces on the architecture-major students' operation and understanding of the simulation system, compared to a typical path-finding model. To achieve the aim, this study analyzed the survey and interview data, collected in the authentic design projects. The analysis indicates that (1) using a simulation model equipped the semantics of spaces helps the students' operation of the simulation, and (2) it also aids understanding the relationship between the variables of spaces and virtual-users (${\alpha}=0.74$). In addition, the qualitative data inform that the advantages of the simulation model that computes the semantics of spaces stem in the automatic behavioral changes of massive numbers of virtual-users, and efficient detection and activation on the what-if situations. The analysis also reveals that the simulation model has shortcomings in orchestrating the complex data structure between the semantics properties of spaces and virtual-users under multi-sequential scenarios. The results of this study contribute to develop a future design system combining BIM with human behavior simulation.