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On the Application of Public Search Measures to Detect and Obtain Information

  • Kozytska, Olena;Tsilmak, Olena;Protsenko, Olena;Yankovyi, Mykola;Lysenko, Аndrii;Shulzhenko, Assol
    • International Journal of Computer Science & Network Security
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    • v.21 no.9
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    • pp.109-112
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    • 2021
  • The article considers the state of legislation that regulates the use of public methods of obtaining information by authorized state bodies. The correlation of public investigative (search) actions with operative-search measures as concepts denoting the application of public methods of obtaining information has been studied. In addition, it argues the need for more detailed delineation and legislative regulation of public investigative (search) actions and operational and investigative measures at the legislative and departmental levels. The purpose of the article is to analyze certain provisions of the Law of Ukraine "On operational and investigative activities" to identify inconsistencies in the content of the text of the law in order to correct and prevent ambiguity in the theory and practice of law enforcement.

Trends of Web-based OPAC Search Behavior via Transaction Log Analysis (트랜잭션 로그 분석을 통한 웹기반 온라인목록의 검색행태 추이 분석)

  • Lee, Sung-Sook
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.23 no.2
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    • pp.209-233
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    • 2012
  • In this study in order to verify the overall information seeking behavior of the Web-based OPAC users, it was analyzed transaction log file for 7 years. Regarding Web-based OPAC information seeking behavior, it was studied from the perspective of information seeking strategy and information seeking failure. In search strategy, it was analyzed search type, search options, Boolean operator, length of search text, number of uses of word, number of use Web-based OPAC, number of use by time, by week day. Also, in search failure, search failure ratio, search failure ratio by search options, search failure ratio by Boolean operator were analyzed. The result of this study is expected to be utilized for OPAC system and service improvement in the future.

A Study on the Shopping Life through Mobile Visual Search

  • Tungyun Liu;Sijun Sung;Heeju Chae
    • Asia-Pacific Journal of Business
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    • v.15 no.1
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    • pp.45-69
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    • 2024
  • Purpose - To examine the influence of mobile visual search as a strategic technology service on consumer perceived economic value and customer commitments, which in turn affect consumer's usage intention of mobile visual search. This study also explores the moderating effect of different levels of consumer online shopping orientation. Design/methodology/approach - One-by-one open-ended in-depth interview was first undertaken to 15 Korean consumers to figure the features of mobile visual search. Then a conceptual model was built to verify the hypotheses that indicate the impact of mobile visual search on consumer perceived economic value and customer commitment, which further influence consumer's usage intention. Findings - The results show Convenience, Information quality, Personalization, Text-free search interface design and Visual communication of mobile visual search positively influence consumer perceived economic value and customer commitment and in turn positively affect consumer's usage intention. Moreover, the different levels of consumer online shopping orientation also found to have different effects on consumers' perception and behavior of using mobile visual search in online fashion shopping. Research implications or Originality - The present study verified that mobile visual search is a service tool that consumers want to use in the online fashion shopping journey since it provides economic benefits.

MediScore: MEDLINE-based Interactive Scoring of Gene and Disease Associations

  • Cho, Hye-Young;Oh, Bermseok;Lee, Jong-Keuk;Kim, Kuchan;Koh, InSong
    • Genomics & Informatics
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    • v.2 no.3
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    • pp.131-133
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    • 2004
  • MediScore is an information retrieval system, which helps to search for the set of genes associated with a specific disease or the set of diseases associated with a specific gene. Despite recent improvement of natural language processing (NLP) and other text mining approaches to search for disease associated genes, many false positive results come out due to diversity of exceptional cases as well as ambiguities in gene names. In order to overcome the weak points of current text mining approaches, MediScore introduces statistical normalization based on binomial to normal distribution approximation which corrects inaccurate scores caused by common words not representing genes and interactive rescoring by the user to remove the false positive results. Interactive rescoring includes individual alias scoring for each gene to remove false gene synonyms, referring MEDLINE abstracts, and cross referencing between OMIM and other related information.

A Study on Natural Language Document and Query Processor for Information Retrieval in Digital Library (디지털 도서관 환경에서의 정보 검색을 위한 자연어 문서 및 질의 처리기에 관한 연구)

  • 윤성희
    • Journal of the Korea Computer Industry Society
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    • v.2 no.12
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    • pp.1601-1608
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    • 2001
  • Digital library is the most important database system that needs information retrieval engine for natural language documents and multimedia data. This paper describes the experimental results of information retrieval engine and browser based on natural language processing. It includes lexical analysis, syntax processing, stemming, and keyword indexing for the natural language text. With the experimental database ‘Earth and Space Science’ that has lots of images and titles and their descriptive text in natural language, text-based search engine was tested. Combined with content-based image search engine, it is expected to be a multimedia information retrieval system in digital library

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Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications

  • Garcia, Leyla;Giraldo, Olga;Garcia, Alexander;Rebholz-Schuhmann, Dietrich
    • Genomics & Informatics
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    • v.17 no.2
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    • pp.14.1-14.6
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    • 2019
  • The total number of scholarly publications grows day by day, making it necessary to explore and use simple yet effective ways to expose their metadata. Schema.org supports adding structured metadata to web pages via markup, making it easier for data providers but also for search engines to provide the right search results. Bioschemas is based on the standards of schema.org, providing new types, properties and guidelines for metadata, i.e., providing metadata profiles tailored to the Life Sciences domain. Here we present our proposed contribution to Bioschemas (from the project "Biotea"), which supports metadata contributions for scholarly publications via profiles and web components. Biotea comprises a semantic model to represent publications together with annotated elements recognized from the scientific text; our Biotea model has been mapped to schema.org following Bioschemas standards.

A Study on Contributor to Sports Development Big Data Research Using Oral Records

  • Byun, Jisun
    • Journal of Multimedia Information System
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    • v.8 no.4
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    • pp.301-308
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    • 2021
  • The purpose of this study is to analyze the oral records of sports development contributors to explore the direction of big data research on sports development contributors in the future. To this end, the audio file produced in the interview with Lee00, a sports development contributor, was converted into text. The major themes were extracted by analyzing these oral records. The sub-themes were extracted in chronological order. Keywords were extracted by analyzing sub-themes. And the extracted keywords are searched in Google search engine to find related topics and to use them. A Google search for the topic 'Mt. Inwang' extracted from the oral archives of Lee00, a contributor to the development of sports, finds newspaper articles about President Moon Jae-in's climbing Mt. Inwang and opening up Mt. Bukhan. In addition, articles about Mt. Inwang and mountain climbers that the narrator In-jeong Lee speaks are searched for. Through these articles, you can Deriving the theme of the museum exhibition, Collection of museum exhibits, Use as climbing education material.

INFORMATION SEARCH BASED ON CONCEPT GRAPH IN WEB

  • Lee, Mal-Rey;Kim, Sang-Geun
    • Journal of applied mathematics & informatics
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    • v.10 no.1_2
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    • pp.333-351
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    • 2002
  • This paper introduces a search method based on conceptual graph. A hyperlink information is essential to construct conceptual graph in web. The information is very useful as it provides summary and further linkage to construct conceptual graph that has been provided by human. It also has a property which shows review, relation, hierarchy, generality, and visibility. Using this property, we extracted the keywords of web documents and made up of the conceptual graph among the keywords sampled from web pages. This paper extracts the keywords of web pages using anchor text one out of hyperlink information and makes hyperlink of web pages abstract as the link relation between keywords of each web page. 1 suggest this useful search method providing querying word extension or domain knowledge by conceptual graph of keywords. Domain knowledge was conceptualized knowledged as the conceptual graph. Then it is not listing web documents which is the defect of previous search system. And it gives the index of concept associating with querying word.

Video Data Modeling for Supporting Structural and Semantic Retrieval (구조 및 의미 검색을 지원하는 비디오 데이타의 모델링)

  • 복경수;유재수;조기형
    • Journal of KIISE:Databases
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    • v.30 no.3
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    • pp.237-251
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    • 2003
  • In this paper, we propose a video retrieval system to search logical structure and semantic contents of video data efficiently. The proposed system employs a layered modelling method that orBanifes video data in raw data layer, content layer and key frame layer. The layered modelling of the proposed system represents logical structures and semantic contents of video data in content layer. Also, the proposed system supports various types of searches such as text search, visual feature based similarity search, spatio-temporal relationship based similarity search and semantic contents search.

FAH-Based Expert Search Framework for Knowledge Management Systems (지식관리시스템을 위한 FAH 기반 전문가 검색 방법론)

  • Yang Kun-Woo;Huh Soon-Young
    • Journal of the Korean Operations Research and Management Science Society
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    • v.30 no.1
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    • pp.129-147
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    • 2005
  • In Knowledge Management Systems (KMS), tacit knowledge which is usually possessed as forms like know-how, experiences, and etc. is hard to be systemized while managing explicit knowledge is comparatively easy using information technology such as databases, Recent researches in knowledge management have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise so that users can contact them for help, In this paper, we propose an intelligent expert search framework to provide search capabilities for experts in similar or related fields according to the user's needs. In enabling intelligent expert searches, Fuzzy Abstraction Hierarchy (FAH) framework has been adopted, through' which finding experts with similar or related expertise is possible according to the subject field hierarchy defined in the system. To test applicability and practicality of the proposed framework, the prototype system, Knowledge Portal for Researchers in Science and Technology, was developed.