Search (71 results, page 2 of 4)

0.0048822816 = product of:
  0.014646845 = sum of:
    0.014646845 = weight(_text_:in in 3561) [ClassicSimilarity], result of:
      0.014646845 = score(doc=3561,freq=8.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.21040362 = fieldWeight in 3561, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3561)
  0.33333334 = coord(1/3)

Abstract

An increasingly difficult challenge in social tagging applications is negotiating the number of existing tags. This article examines the use of facets to facilitate the efficient organization and browsing of tags into manageable and distinct categories. Current and proposed methodologies for the application of facets in social tagging applications are evaluated. Results of this analysis indicate that these methodologies provide insufficient guidelines for the choice, evaluation, and maintenance of the facets. Suggestions are made to guide the design of a more rigorous methodology for the application of facets to social tagging applications.

Footnote

Beitrag in einem special issue: Is there a catalog in your future? Celebrating Nancy J. Williamson: Scholar, educator, colleague, mentor

0.0048322063 = product of:
  0.014496619 = sum of:
    0.014496619 = weight(_text_:in in 4798) [ClassicSimilarity], result of:
      0.014496619 = score(doc=4798,freq=6.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.2082456 = fieldWeight in 4798, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0625 = fieldNorm(doc=4798)
  0.33333334 = coord(1/3)

Series

Advances in knowledge organization; vol.16

Source

Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira

0.0048322063 = product of:
  0.014496619 = sum of:
    0.014496619 = weight(_text_:in in 4917) [ClassicSimilarity], result of:
      0.014496619 = score(doc=4917,freq=6.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.2082456 = fieldWeight in 4917, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0625 = fieldNorm(doc=4917)
  0.33333334 = coord(1/3)

Series

Advances in knowledge organization; vol.15

Source

Knowledge organization for a sustainable world: challenges and perspectives for cultural, scientific, and technological sharing in a connected society : proceedings of the Fourteenth International ISKO Conference 27-29 September 2016, Rio de Janeiro, Brazil / organized by International Society for Knowledge Organization (ISKO), ISKO-Brazil, São Paulo State University ; edited by José Augusto Chaves Guimarães, Suellen Oliveira Milani, Vera Dodebei

0.004678764 = product of:
  0.014036291 = sum of:
    0.014036291 = weight(_text_:in in 3458) [ClassicSimilarity], result of:
      0.014036291 = score(doc=3458,freq=10.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.20163295 = fieldWeight in 3458, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=3458)
  0.33333334 = coord(1/3)

Abstract

In this article, we explore the dynamics of prosocial and self-interested behavior among musicians on MySpace Music. MySpace Music is an important platform for social interactions and at the same time provides musicians with the opportunity for significant profit. We argue that these forces can be in tension with each other, encouraging musicians to make strategic choices about using MySpace to promote their own or others' rewards. We look for evidence of self-interested and prosocial friending strategies in the social network created by Top Friends links. We find strong evidence that individual preferences for prosocial and self-interested behavior influence friending strategies. Furthermore, our data illustrate a robust relationship between increased prominence and increased attention to others' rewards. These results shed light on how musicians manage their interactions in complex online environments and extend research on social values by demonstrating consistent preferences for prosocial or self-interested behavior in a multifaceted online setting.

0.004678764 = product of:
  0.014036291 = sum of:
    0.014036291 = weight(_text_:in in 309) [ClassicSimilarity], result of:
      0.014036291 = score(doc=309,freq=10.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.20163295 = fieldWeight in 309, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=309)
  0.33333334 = coord(1/3)

Abstract

This paper describes a survey on how system vendors and libraries handled tagging in OPACs and discovery layers. Tags are user added subject metadata, also called folksonomies. This survey also investigated user behavior when they face the possibility to tag. The findings indicate that legacy/classic systems have no tagging capability. About 47% of the discovery tools provide tagging function. About 49% of the libraries that have a system with tagging capability have turned the tagging function on in their OPACs and discovery tools. Only 40% of the libraries that turned tagging on actually utilized user added subject metadata as access point to collections. Academic library users are less active in tagging than public library users.

Source

Beyond libraries - subject metadata in the digital environment and semantic web. IFLA Satellite Post-Conference, 17-18 August 2012, Tallinn

0.0046133236 = product of:
  0.01383997 = sum of:
    0.01383997 = weight(_text_:in in 4171) [ClassicSimilarity], result of:
      0.01383997 = score(doc=4171,freq=14.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.19881277 = fieldWeight in 4171, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4171)
  0.33333334 = coord(1/3)

Abstract

Purpose - Traditional subject indexing and classification are considered infeasible in many digital collections. This paper seeks to investigate ways of enhancing social tagging via knowledge organization systems, with a view to improving the quality of tags for increased information discovery and retrieval performance. Design/methodology/approach - Enhanced tagging interfaces were developed for exemplar online repositories, and trials were undertaken with author and reader groups to evaluate the effectiveness of tagging augmented with control vocabulary for subject indexing of papers in online repositories. Findings - The results showed that using a knowledge organisation system to augment tagging does appear to increase the effectiveness of non-specialist users (that is, without information science training) in subject indexing. Research limitations/implications - While limited by the size and scope of the trials undertaken, these results do point to the usefulness of a mixed approach in supporting the subject indexing of online resources. Originality/value - The value of this work is as a guide to future developments in the practical support for resource indexing in online repositories.

Footnote

Beitrag in einem Special Issue: Content architecture: exploiting and managing diverse resources: proceedings of the first national conference of the United Kingdom chapter of the International Society for Knowedge Organization (ISKO)

0.0046133236 = product of:
  0.01383997 = sum of:
    0.01383997 = weight(_text_:in in 1091) [ClassicSimilarity], result of:
      0.01383997 = score(doc=1091,freq=14.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.19881277 = fieldWeight in 1091, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1091)
  0.33333334 = coord(1/3)

Abstract

The number of research studies on social tagging has increased rapidly in the past years, but few of them highlight the characteristics and research trends in social tagging. A set of 862 academic documents relating to social tagging and published from 2005 to 2011 was thus examined using bibliometric analysis as well as the social network analysis technique. The results show that social tagging, as a research area, develops rapidly and attracts an increasing number of new entrants. There are no key authors, publication sources, or research groups that dominate the research domain of social tagging. Research on social tagging appears to focus mainly on the following three aspects: (a) components and functions of social tagging (e.g., tags, tagging objects, and tagging network), (b) taggers' behaviors and interface design, and (c) tags' organization and usage in social tagging. The trend suggest that more researchers turn to the latter two integrated with human computer interface and information retrieval, although the first aspect is the fundamental one in social tagging. Also, more studies relating to social tagging pay attention to multimedia tagging objects and not only text tagging. Previous research on social tagging was limited to a few subject domains such as information science and computer science. As an interdisciplinary research area, social tagging is anticipated to attract more researchers from different disciplines. More practical applications, especially in high-tech companies, is an encouraging research trend in social tagging.

0.0042711073 = product of:
  0.012813321 = sum of:
    0.012813321 = weight(_text_:in in 4970) [ClassicSimilarity], result of:
      0.012813321 = score(doc=4970,freq=12.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.18406484 = fieldWeight in 4970, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4970)
  0.33333334 = coord(1/3)

Abstract

This article investigates the dynamic features of social tagging vocabularies in Delicious, Flickr, and YouTube from 2003 to 2008. Three algorithms are designed to study the macro- and micro-tag growth as well as the dynamics of taggers' activities, respectively. Moreover, we propose a Tagger Tag Resource Latent Dirichlet Allocation (TTR-LDA) model to explore the evolution of topics emerging from those social vocabularies. Our results show that (a) at the macro level, tag growth in all the three tagging systems obeys power law distribution with exponents lower than 1; at the micro level, the tag growth of popular resources in all three tagging systems follows a similar power law distribution; (b) the exponents of tag growth vary in different evolving stages of resources; (c) the growth of number of taggers associated with different popular resources presents a feature of convergence over time; (d) the active level of taggers has a positive correlation with the macro-tag growth of different tagging systems; and (e) some topics evolve into several subtopics over time while others experience relatively stable stages in which their contents do not change much, and certain groups of taggers continue their interests in them.

0.0042711073 = product of:
  0.012813321 = sum of:
    0.012813321 = weight(_text_:in in 295) [ClassicSimilarity], result of:
      0.012813321 = score(doc=295,freq=12.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.18406484 = fieldWeight in 295, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=295)
  0.33333334 = coord(1/3)

Abstract

Purpose - The object of this empirical research study is emotion, as depicted and aroused in videos. This paper seeks to answer the questions: Are users able to index such emotions consistently? Are the users' votes usable for emotional video retrieval? Design/methodology/approach - The authors worked with a controlled vocabulary for nine basic emotions (love, happiness, fun, surprise, desire, sadness, anger, disgust and fear), a slide control for adjusting the emotions' intensity, and the approach of broad folksonomies. Different users tagged the same videos. The test persons had the task of indexing the emotions of 20 videos (reprocessed clips from YouTube). The authors distinguished between emotions which were depicted in the video and those that were evoked in the user. Data were received from 776 participants and a total of 279,360 slide control values were analyzed. Findings - The consistency of the users' votes is very high; the tag distributions for the particular videos' emotions are stable. The final shape of the distributions will be reached by the tagging activities of only very few users (less than 100). By applying the approach of power tags it is possible to separate the pivotal emotions of every document - if indeed there is any feeling at all. Originality/value - This paper is one of the first steps in the new research area of emotional information retrieval (EmIR). To the authors' knowledge, it is the first research project into the collective indexing of emotions in videos.

0.0042711073 = product of:
  0.012813321 = sum of:
    0.012813321 = weight(_text_:in in 416) [ClassicSimilarity], result of:
      0.012813321 = score(doc=416,freq=12.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.18406484 = fieldWeight in 416, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=416)
  0.33333334 = coord(1/3)

Abstract

In many digital libraries, visual objects are published and metadata attached to allow for search and retrieval. For visual objects in which people appear, names are often added to the metadata so that digital library users can search for people appearing in these objects. Although this seems straightforward, there are ethical implications of adding names to metadata for visual objects. This paper explores the impact of this action and discusses relevant ethical issues it raises. It asserts that an individual's right to privacy and control over personal information must be weighed against the benefit of the object to society and the professional ethic to authentically represent a resource through its metadata. Context and an understanding of the major ethical issues will inform the practical decision of whether to keep objects online and add metadata to them, but items should generally be published unless there are clear ethical violations or a community relationship is in jeopardy.

Content

Beitrag aus einem Themenheft zu den Proceedings of the 2nd Milwaukee Conference on Ethics in Information Organization, June 15-16, 2012, School of Information Studies, University of Wisconsin-Milwaukee. Hope A. Olson, Conference Chair. Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_39_2012_5_c.pdf.

0.0042281803 = product of:
  0.012684541 = sum of:
    0.012684541 = weight(_text_:in in 4561) [ClassicSimilarity], result of:
      0.012684541 = score(doc=4561,freq=6.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.1822149 = fieldWeight in 4561, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4561)
  0.33333334 = coord(1/3)

Abstract

This paper examines collections of citations that individual users contribute to social tagging systems such as Delicious and LibraryThing. I characterize these personal collections, furnished with various forms of metadata and arranged for Web display, as a means of communication, where a particular sensibility molds guiding principles for resource selection, description, and categorization. Using several analytic frameworks from museum studies, I present three brief case studies that interrogate both the substance and the means of expression achieved in such collections, which I term "expressive bibliographies." In considering these case studies, I explore how an explicit rhetorical perspective might inform purposeful design of expressive bibliography.

0.0042281803 = product of:
  0.012684541 = sum of:
    0.012684541 = weight(_text_:in in 1968) [ClassicSimilarity], result of:
      0.012684541 = score(doc=1968,freq=6.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.1822149 = fieldWeight in 1968, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1968)
  0.33333334 = coord(1/3)

Footnote

Contribution in a special issue "Beyond libraries: Subject metadata in the digital environment and Semantic Web" - Enthält Beiträge der gleichnamigen IFLA Satellite Post-Conference, 17-18 August 2012, Tallinn.

0.0042281803 = product of:
  0.012684541 = sum of:
    0.012684541 = weight(_text_:in in 5233) [ClassicSimilarity], result of:
      0.012684541 = score(doc=5233,freq=6.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.1822149 = fieldWeight in 5233, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0546875 = fieldNorm(doc=5233)
  0.33333334 = coord(1/3)

Abstract

Flickr was launched when digital cameras first began to outsell analog cameras, and people were drawn to the site for the opportunities it offered them to store, organize, and share their images, as well as for the connections that could be made with other like-minded people. This article examines the links between Flickr's success and how images are organized within the site, as well as the types of people and organizations that use Flickr and their motivations for doing so. Factors that have contributed to Flickr's demise in popularity will be explored, and the article finishes with some suggestions for how Flickr could develop in the future, along with some conclusions for image organization.

Series

Reviews of concepts in knowledge organization

0.0041848132 = product of:
  0.012554439 = sum of:
    0.012554439 = weight(_text_:in in 4229) [ClassicSimilarity], result of:
      0.012554439 = score(doc=4229,freq=8.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.18034597 = fieldWeight in 4229, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=4229)
  0.33333334 = coord(1/3)

Abstract

Social media systems have encouraged end user participation in the Internet, for the purpose of storing and distributing Internet content, sharing opinions and maintaining relationships. Collaborative tagging allows users to annotate the resulting user-generated content, and enables effective retrieval of otherwise uncategorised data. However, compared to professional web content production, collaborative tagging systems face the challenge that end-users assign tags in an uncontrolled manner, resulting in unsystematic and inconsistent metadata. This paper introduces a framework for the personalization of social media systems. We pinpoint three tasks that would benefit from personalization: collaborative tagging, collaborative browsing and collaborative search. We propose a ranking model for each task that integrates the individual user's tagging history in the recommendation of tags and content, to align its suggestions to the individual user preferences. We demonstrate on two real data sets that for all three tasks, the personalized ranking should take into account both the user's own preference and the opinion of others.

0.0041848132 = product of:
  0.012554439 = sum of:
    0.012554439 = weight(_text_:in in 4371) [ClassicSimilarity], result of:
      0.012554439 = score(doc=4371,freq=8.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.18034597 = fieldWeight in 4371, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=4371)
  0.33333334 = coord(1/3)

Abstract

Social technologies tend to attract research on social structure or interaction. In this paper we analyze the individual use of a social technology, specifically an enterprise people-tagging application. We focus on active participants of the system and distinguish between users who initiate activity and those who respond to activity. This distinction is situated within the preferential attachment theory in order to examine which type of participant contributes more to the process of tagging. We analyze the usage of the people-tagging application in a snapshot representing 3 years of activity, focusing on self-tagging compared to tagging by and of others. The main findings are: (1) People who tag themselves are the most productive contributors to the system. (2) Preferential attachment saturation is reached at 12-14 tags per user. (3) The nature of participation is more significant than the number of participants for system growth. The paper concludes with theoretical and practical implications.

0.0041848132 = product of:
  0.012554439 = sum of:
    0.012554439 = weight(_text_:in in 4557) [ClassicSimilarity], result of:
      0.012554439 = score(doc=4557,freq=8.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.18034597 = fieldWeight in 4557, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=4557)
  0.33333334 = coord(1/3)

Abstract

This paper examines the context of online indexing from the viewpoint of three different groups: users, authors, and professional indexers. User tags, author keywords, and descriptors were collected from academic journal articles, which were both indexed in PubMed and tagged on CiteULike, and analysed. Descriptive statistics, informetric measures, and thesaural term comparison shows that there are important differences in the use of keywords among the three groups in addition to similarities, which can be used to enhance support for search and browse. While tags and author keywords were found that matched descriptors exactly, other terms which did not match but provided important expansion to the indexing lexicon were found. These additional terms could be used to enhance support for searching and browsing in article databases as well as to provide invaluable data for entry vocabulary and emergent terminology for regular updates to indexing systems. Additionally, the study suggests that tags support organisation by association to task, projects, and subject while making important connections to traditional systems which classify into subject categories.

0.0041848132 = product of:
  0.012554439 = sum of:
    0.012554439 = weight(_text_:in in 873) [ClassicSimilarity], result of:
      0.012554439 = score(doc=873,freq=8.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.18034597 = fieldWeight in 873, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.046875 = fieldNorm(doc=873)
  0.33333334 = coord(1/3)

Abstract

Social or collaborative tagging enables users to organize and label resources on the web. Libraries and other information environments hope that tagging can complement professional subject access with user-created terms. But who are the taggers, and does their language represent that of the user population? Some language theorists believe that inherent variables, such as gender or race, can be responsible for language use, whereas other researchers endorse more multiply-influenced practice-based approaches, where interactions with others affect language use more than a single variable. To explore whether linguistic variation in tagging is influenced more by gender or context, in this exploratory study, I will analyze the content and quantity of tags used on LibraryThing. This study seeks to dismantle stereotypical views of women's language use and to suggest a community of practice-based approach to analyzing social tags.

Series

Advances in knowledge organization; vol.13

Source

Categories, contexts and relations in knowledge organization: Proceedings of the Twelfth International ISKO Conference 6-9 August 2012, Mysore, India. Eds.: Neelameghan, A. u. K.S. Raghavan

0.0041848132 = product of:
  0.012554439 = sum of:
    0.012554439 = weight(_text_:in in 1) [ClassicSimilarity], result of:
      0.012554439 = score(doc=1,freq=18.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.18034597 = fieldWeight in 1, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.03125 = fieldNorm(doc=1)
  0.33333334 = coord(1/3)

Abstract

Social bookmarking has gained popularity since the advent of Web 2.0. Keywords known as tags are created to annotate web content, and the resulting tag space composed of the tags, the resources, and the users arises as a new platform for web content discovery. Useful and interesting web resources can be located through searching and browsing based on tags, as well as following the user-user connections formed in the social bookmarking community. However, the effectiveness of tag-based search is limited due to the lack of explicitly represented semantics in the tag space. In addition, social connections between users are underused for web content discovery because of the inadequate social functions. In this research, we propose a comprehensive framework to reorganize the flat tag space into a hierarchical faceted model. We also studied the structure and properties of various networks emerging from the tag space for the purpose of more efficient web content discovery. The major research approach used in this research is social network analysis (SNA), together with methodologies employed in design science research. The contribution of our research includes: (i) a faceted model to categorize social bookmarking tags; (ii) a relationship ontology to represent the semantics of relationships between tags; (iii) heuristics to reorganize the flat tag space into a hierarchical faceted model using analysis of tag-tag co-occurrence networks; (iv) an implemented prototype system as proof-of-concept to validate the feasibility of the reorganization approach; (v) a set of evaluations of the social functions of the current networking features of social bookmarking and a series of recommendations as to how to improve the social functions to facilitate web content discovery.

Content

A Dissertation Submitted to the Faculty of the COMMITTEE ON BUSINESS ADMINISTRATION In Partial Fulfillment of the Requirements For the Degree of DOCTOR OF PHILOSOPHY WITH A MAJOR IN MANAGEMENT In the Graduate College THE UNIVERSITY OF ARIZONA. Vgl.: http://hdl.handle.net/10150/195123. Vgl. auch: https://www.semanticscholar.org/paper/Utilizing-social-bookmarking-tag-space-for-web-a-Ram-Wei/da9e7e5ee771008b741af7176d3f0d67128d1dca.

0.0038989696 = product of:
  0.011696909 = sum of:
    0.011696909 = weight(_text_:in in 2918) [ClassicSimilarity], result of:
      0.011696909 = score(doc=2918,freq=10.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.16802745 = fieldWeight in 2918, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2918)
  0.33333334 = coord(1/3)

Abstract

Purpose - The purpose of this paper is to explore the potential of applying the Dewey Decimal Classification (DDC) as an established knowledge organization system (KOS) for enhancing social tagging, with the ultimate purpose of improving subject indexing and information retrieval. Design/methodology/approach - Over 11.000 Intute metadata records in politics were used. Totally, 28 politics students were each given four tasks, in which a total of 60 resources were tagged in two different configurations, one with uncontrolled social tags only and another with uncontrolled social tags as well as suggestions from a controlled vocabulary. The controlled vocabulary was DDC comprising also mappings from the Library of Congress Subject Headings. Findings - The results demonstrate the importance of controlled vocabulary suggestions for indexing and retrieval: to help produce ideas of which tags to use, to make it easier to find focus for the tagging, to ensure consistency and to increase the number of access points in retrieval. The value and usefulness of the suggestions proved to be dependent on the quality of the suggestions, both as to conceptual relevance to the user and as to appropriateness of the terminology. Originality/value - No research has investigated the enhancement of social tagging with suggestions from the DDC, an established KOS, in a user trial, comparing social tagging only and social tagging enhanced with the suggestions. This paper is a final reflection on all aspects of the study.

0.0038989696 = product of:
  0.011696909 = sum of:
    0.011696909 = weight(_text_:in in 4100) [ClassicSimilarity], result of:
      0.011696909 = score(doc=4100,freq=10.0), product of:
        0.069613084 = queryWeight, product of:
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.051176514 = queryNorm
        0.16802745 = fieldWeight in 4100, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          1.3602545 = idf(docFreq=30841, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4100)
  0.33333334 = coord(1/3)

Abstract

Web 2.0 and social/collaborative tagging have altered the traditional roles of indexer and user. Traditional indexing tools and systems assume the top-down approach to indexing in which a trained professional is responsible for assigning index terms to information sources with a potential user in mind. However, in today's Web, end users create, organize, index, and search for images and other information sources through social tagging and other collaborative activities. One of the impediments to user-centered indexing had been the cost of soliciting user-generated index terms or tags. Social tagging of images such as those on Flickr, an online photo management and sharing application, presents an opportunity that can be seized by designers of indexing tools and systems to bridge the semantic gap between indexer terms and user vocabularies. Empirical research on the differences and similarities between user-generated tags and index terms based on controlled vocabularies has the potential to inform future design of image indexing tools and systems. Toward this end, a random sample of Flickr images and the tags assigned to them were content analyzed and compared with another sample of index terms from a general image collection using established frameworks for image attributes and contents. The results show that there is a fundamental difference between the types of tags and types of index terms used. In light of this, implications for research into and design of user-centered image indexing tools and systems are discussed.