Search (3 results, page 1 of 1)

  • × author_ss:"Park, H."
  • × year_i:[2010 TO 2020}
  1. Park, H.; Smiraglia, R.P.: Enhancing data curation of cultural heritage for information sharing : a case study using open Government data (2014) 0.00
    4.4124527E-4 = product of:
      0.0066186786 = sum of:
        0.0066186786 = product of:
          0.013237357 = sum of:
            0.013237357 = weight(_text_:information in 1575) [ClassicSimilarity], result of:
              0.013237357 = score(doc=1575,freq=10.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.2602176 = fieldWeight in 1575, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1575)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    The purpose of this paper is to enhance cultural heritage data curation. A core research question of this study is how to share cultural heritage data by using ontologies. A case study was conducted using open government data mapped with the CIDOC-CRM (Conceptual Reference Model). Twelve library-related files in unstructured data format were collected from an open government website, Seoul Metropolitan Government of Korea (http://data.seoul.go.kr). By using the ontologies of the CIDOC CRM 5.1.2, we conducted a mapping process as a way of enhancing cultural heritage information to share information as a data component. We graphed each file then mapped each file in tables. Implications of this study are both the enhanced discoverability of unstructured data and the reusability of mapped information. Issues emerging from this study involve verification of detail for complete compatibility without further input from domain experts.
    Series
    Communications in computer and information science; 478
  2. Park, H.: ¬A conceptual framework to study folksonomic interaction (2011) 0.00
    3.2888478E-4 = product of:
      0.0049332716 = sum of:
        0.0049332716 = product of:
          0.009866543 = sum of:
            0.009866543 = weight(_text_:information in 4852) [ClassicSimilarity], result of:
              0.009866543 = score(doc=4852,freq=8.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.19395474 = fieldWeight in 4852, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4852)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    This paper proposes a conceptual framework to recast a folksonomy as a Web classification and to use this to explore the ways in which people work with it in assessing, sharing, and navigating Web resources. The author uses information scent and foraging theory as a context to discuss how folksonomy is constructed through interactions among users, a folksonomic system, and a given domain that consists of a group of users who share the same interest or goals. The discussion centers on two dimensions of folksonomies: (1) folksonomy as a Web classification which puts like information together in a Web context; and (2) folksonomy as information scent which helps users to find related resources and users, and obtain desired information. This paper aims to integrate these two dimensions with a conceptual framework that addresses the structure of a folksonomy shaped by users' interactions. A proposed framework consists of three components of users' interactions with a folksonomy: (a) tagging - cognitive categorization of Web accessible resources by an individual user; (b) navigation - exploration and discovery of Web accessible resources in the folksonomic system; and (c) knowledge sharing - representation and communication of knowledge within a domain. This understanding will help us motivate possible future directions of research in folksonomy. This initial framework will frame a number of research questions and help lay the groundwork for future empirical research which focuses on qualitative analysis of a folksonomy and users' tagging behaviors.
  3. Park, H.; You, S.; Wolfram, D.: Informal data citation for data sharing and reuse is more common than formal data citation in biomedical fields (2018) 0.00
    1.6444239E-4 = product of:
      0.0024666358 = sum of:
        0.0024666358 = product of:
          0.0049332716 = sum of:
            0.0049332716 = weight(_text_:information in 4544) [ClassicSimilarity], result of:
              0.0049332716 = score(doc=4544,freq=2.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.09697737 = fieldWeight in 4544, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4544)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.11, S.1346-1354