• Title/Summary/Keyword: semantic relationships

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A Study on the Design of a Topic Map-based Retrieval System for the Academic Administration Records of Universities (대학 학사행정 기록물의 토픽맵 기반 검색시스템 설계에 관한 연구)

  • Shin, Jiyu;Jung, Youngmi
    • Journal of Korean Society of Archives and Records Management
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    • v.16 no.1
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    • pp.175-193
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    • 2016
  • A topic map was designed as an efficient information retrieval method that is optimized for classification, organization, and navigation through the use of a semantic link network above information resources. With this, this study aims to design a topic map-based university archives retrieval system to provide the relevant information retrieval. For this study, electronic records that relate to the academic administration within two years of D university were collected, and topic map editing was carried out with Ontopia Omnigator. Topics were classified according to their functional analysis of academic administration. In the end, the number of topics was finalized as 626, with 6 types in general: academic work, staff, college register, student, university, etc. Association was separated into six types as well, which were formed with consideration to the relationships among topics. In addition, there are seven occurrence types: register class, register number, register date, receiver, title, creator, and identifier. It is expected that the associative nature of the designed topic map-based retrieval system in this study will make navigation of large records easy and allow incidental discovery of knowledge.

An Efficient Storage Schema Construction and Retrieval Technique for Querying OWL Data (OWL 데이타 검색을 위한 효율적인 저장 스키마 구축 및 질의 처리 기법)

  • Woo, Eun-Mii;Park, Myung-Jae;Chung, Chin-Wan
    • Journal of KIISE:Databases
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    • v.34 no.3
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    • pp.206-216
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    • 2007
  • With respect to the Semantic Web proposed to overcome the limitation of the Web, OWL has been recommended as the ontology language used to give a well-defined meaning to diverse data. OWL is the representative ontology language suggested by W3C. An efficient retrieval of OWL data requires a well-constructed storage schema. In this paper, we propose a storage schema construction technique which supports more efficient query processing. A retrieval technique corresponding to the proposed storage schema is also introduced. OWL data includes inheritance information of classes and properties. When OWL data is extracted, hierarchy information should be considered. For this reason, an additional XML document is created to preserve hierarchy information and stored in an XML database system. An existing numbering scheme is utilized to extract ancestor/descendent relationships, and order information of nodes is added as attribute values of elements in an XML document. Thus, it is possible to retrieve subclasses and subproperties fast and easily. The improved query performance from experiments shows the effectiveness of the proposed storage schema construction and retrieval method.

Extraction method of spatial relation by analyzing location tag in folksonomy (폭소노미에서 위치태그 분석을 통한 공간관계 추출 기법)

  • Choi, Yun-Hee;Yong, Hwan-Seung
    • Journal of Korea Multimedia Society
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    • v.12 no.8
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    • pp.1043-1054
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    • 2009
  • As the semantic web receives higher concern with an intensified necessity in these days, the research on the ontology as its core technology has been carried out in various fields. The ontology has been adopted as an alternative to work out lots of problematic issues resulted from the insufficient vocabulary selection rules in folksonomy, widely accepted under Web 2.0. Therefore the importance of research to complementarily consolidate the two disciplines, the folksonomy and the ontology, has been increased. Based on this idea this research proposes a system, which pulls out, using open services, the location information tags from folksonomy-based metadata, ultimately extracts, following location information analyses, spatial relationships among tags, and in turn automatically constructs self-correcting location information domain ontology. The system devised in this study will associate data derived from easily accessible folksonomy with meaningful and technological information from ontology.

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Network Analysis between Uncertainty Words based on Word2Vec and WordNet (Word2Vec과 WordNet 기반 불확실성 단어 간의 네트워크 분석에 관한 연구)

  • Heo, Go Eun
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.3
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    • pp.247-271
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    • 2019
  • Uncertainty in scientific knowledge means an uncertain state where propositions are neither true or false at present. The existing studies have analyzed the propositions written in the academic literature, and have conducted the performance evaluation based on the rule based and machine learning based approaches by using the corpus. Although they recognized that the importance of word construction, there are insufficient attempts to expand the word by analyzing the meaning of uncertainty words. On the other hand, studies for analyzing the structure of networks by using bibliometrics and text mining techniques are widely used as methods for understanding intellectual structure and relationship in various disciplines. Therefore, in this study, semantic relations were analyzed by applying Word2Vec to existing uncertainty words. In addition, WordNet, which is an English vocabulary database and thesaurus, was applied to perform a network analysis based on hypernyms, hyponyms, and synonyms relations linked to uncertainty words. The semantic and lexical relationships of uncertainty words were structurally identified. As a result, we identified the possibility of automatically expanding uncertainty words.

LOD(Level of Detail) Model for Utilization of Indoor Spatial Data (실내 공간정보 활용을 위한 세밀도 모델)

  • Kang, Hye Young;Nam, Sang Kwan;Hwang, Jung Rae;Lee, Ji Yeong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.36 no.6
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    • pp.545-554
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    • 2018
  • As the map paradigm shifts from analog to digital, the LOD (Level Of Detail) of spatial information needs to be redefined. In this study, we propose 4- dimensional indoor LOD model which can be used in digital map environment. For this purpose, the limitation of the previous research is derived through study of related works, and based on this, four different LODs are defined such PLOD (Position accuracy LOD) based on position accuracy, GLOD (Geometric LOD) based on shape representation, CLOD (Complete LOD) based on generalization, and SLOD (Semantic LOD) based on theme accuracy. In addition, we describe the relationships among the four different LODs, and explain how to express the indoor LOD using the four different LODs and show examples. In the future, the case studies of indoor LOD adoption for various indoor services and the study of method for applying CLOD and SLOD to each feature should be performed to verify the feasibility and validity of proposed indoor LOD.

Intellectual structure and research trends of The Research Journal of the Costume Culture - Bibliometric quantitative and qualitative semantic network approaches - (<복식문화연구>의 지적구조와 연구동향 - 계량정보학적 양적 접근과 의미연결망의 질적 접근 -)

  • Choi, Yeong-Hyeon;Choi, Mi-Hwa
    • The Research Journal of the Costume Culture
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    • v.30 no.4
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    • pp.608-630
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    • 2022
  • The purpose of this study is to examine the relationships between citations and the research trends of The Research Journal of the Costume Culture (RJCC) using bibliometric and network analyses. The results are as follows. First, the RJCC has been cited by a greater number of journals and high-reputation journals today. The RJCC has been mentioned in global academic journals in various fields, and it has been noted the most in environmental science. Second, because of examining the articles published in the RJCC over the past three years (2019 - 2021), it was found that the number of topics was evenly distributed in various subfields of the clothing and textiles sector. The RJCC principally deals with traditional clothing, ethics and sustainability, and technology, which means that the RJCC reflects the past, present, and future. As a result of conducting a cluster analysis using the Wakita-Tsurumi algorithm, the subjects of ethical fashion and sustainability were derived from the subdivisions of the RJCC. This suggests that the RJCC is a journal specialized in ethical fashion and sustainability sectors such as environmental, animal, and labor ethics. This study outlined the current status and future direction of academic journals in the field of clothing through an analysis of the RJCC's influence change and the relationship between citations. In addition, it is academically significant because it identifies research trends and knowledge-structure changes in the apparel science field by identifying changes in research keywords and significant research topics by sector.

A Study on the Development of Content Components in Information Literacy Textbooks: Focusing on the internal coherence of the learning contents (정보활용교육 관련 교과서류의 내용 요소 전개에 관한 연구 - 학습 내용의 내재적 통일성을 중심으로 -)

  • Byoung-Moon So
    • Journal of Korean Library and Information Science Society
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    • v.53 no.4
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    • pp.25-44
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    • 2022
  • The purpose of this study is to examine how the content components of information literacy textbooks develop and is to find implications for improving of textbook publication. Three kinds of information literacy textbooks were published sequentially over time. The content components of 『Information and media』(1996) and 『Library and information skills』(2011) are processed by filament structure and 『Information and library』(2002) has a topic-driven project activity. Generally, a small lesson unit of the textbook consisted of three components (learning goals, learning contents, learning activities) and each component in the unit have to make semantic close relationships. However, in some information literacy textbooks, there are cases that the semantic relationship between goals, contents, and activities are cut off. This disconnection cases can be a fatal drawback for the reliability of textbooks, so sufficient attention is needed to develop information literacy textbooks later.

BERT & Hierarchical Graph Convolution Neural Network based Emotion Analysis Model (BERT 및 계층 그래프 컨볼루션 신경망 기반 감성분석 모델)

  • Zhang, Junjun;Shin, Jongho;An, Suvin;Park, Taeyoung;Noh, Giseop
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.34-36
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    • 2022
  • In the existing text sentiment analysis models, the entire text is usually directly modeled as a whole, and the hierarchical relationship between text contents is less considered. However, in the practice of sentiment analysis, many texts are mixed with multiple emotions. If the semantic modeling of the whole is directly performed, it may increase the difficulty of the sentiment analysis model to judge the sentiment, making the model difficult to apply to the classification of mixed-sentiment sentences. Therefore, this paper proposes a sentiment analysis model BHGCN that considers the text hierarchy. In this model, the output of hidden states of each layer of BERT is used as a node, and a directed connection is made between the upper and lower layers to construct a graph network with a semantic hierarchy. The model not only pays attention to layer-by-layer semantics, but also pays attention to hierarchical relationships. Suitable for handling mixed sentiment classification tasks. The comparative experimental results show that the BHGCN model exhibits obvious competitive advantages.

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The Taste-alleys Pilgrimage in Cheonyeon·Chunghyeon Seodaemun-gu: A Semantic Network Analysis of the Hashtag and Cooking Class Operation of Industry-academic Cooperation (서대문구 천연·충현 지역 맛골목 순례: 해시태그 단어의 의미연결망분석과 지역 대학연계 쿠킹클래스 운영)

  • Kyung Soo Han;Ji Eun Min;Ji Hyun An;Jin Hee Kim
    • Journal of the FoodService Safety
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    • v.4 no.1
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    • pp.35-41
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    • 2023
  • This study was based on the results of the study of 'Cheonyeon and Chunghyun Taste Alley Pilgrimage- Introducing Hidden Restaurants in Our Town', which was adopted as a project to revitalize urban regeneration as part of the Cheonyeon and Chunghyun Urban Regeneration New Deal project. This study was conducted in total of two stages, as a first step, the commercial district of Seodaemun Station was analyzed by analyzing the hashtag (#) mentioned along with the "Seodamun Station Restaurant" on Instagram from 2015 to 2020. As a result of the analysis, it was found to be an office commercial district related to "office workers", and it was found to be a commercial district with the characteristics of "small but certain happiness" where you can find hidden restaurants in front of your house. Based on the characteristics of these commercial districts, five stores utilizing the characteristics of the region were selected and cooking classes were conducted for students of Kyonggi University, who are local residents. The purpose of this study was to revitalize the aging Seoul city and contribute to the formation of positive relationships between local residents and merchants through cooking classes. In addition, the process was produced as digital media content and used as local promotional materials.

Approximate Top-k Labeled Subgraph Matching Scheme Based on Word Embedding (워드 임베딩 기반 근사 Top-k 레이블 서브그래프 매칭 기법)

  • Choi, Do-Jin;Oh, Young-Ho;Bok, Kyoung-Soo;Yoo, Jae-Soo
    • The Journal of the Korea Contents Association
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    • v.22 no.8
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    • pp.33-43
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    • 2022
  • Labeled graphs are used to represent entities, their relationships, and their structures in real data such as knowledge graphs and protein interactions. With the rapid development of IT and the explosive increase in data, there has been a need for a subgraph matching technology to provide information that the user is interested in. In this paper, we propose an approximate Top-k labeled subgraph matching scheme that considers the semantic similarity of labels and the difference in graph structure. The proposed scheme utilizes a learning model using FastText in order to consider the semantic similarity of a label. In addition, the label similarity graph(LSG) is used for approximate subgraph matching by calculating similarity values between labels in advance. Through the LSG, we can resolve the limitations of the existing schemes that subgraph expansion is possible only if the labels match exactly. It supports structural similarity for a query graph by performing searches up to 2-hop. Based on the similarity value, we provide k subgraph matching results. We conduct various performance evaluations in order to show the superiority of the proposed scheme.