Search (32 results, page 1 of 2)

0.039468158 = product of:
  0.078936316 = sum of:
    0.05696889 = weight(_text_:social in 3283) [ClassicSimilarity], result of:
      0.05696889 = score(doc=3283,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.30839854 = fieldWeight in 3283, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3283)
    0.021967428 = product of:
      0.043934856 = sum of:
        0.043934856 = weight(_text_:22 in 3283) [ClassicSimilarity], result of:
          0.043934856 = score(doc=3283,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.2708308 = fieldWeight in 3283, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3283)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

This book constitutes the refereed proceedings of the 10th Metadata and Semantics Research Conference, MTSR 2016, held in Göttingen, Germany, in November 2016. The 26 full papers and 6 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in several sessions and tracks: Digital Libraries, Information Retrieval, Linked and Social Data, Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures, Metadata and Semantics for Agriculture, Food and Environment, Metadata and Semantics for Cultural Collections and Applications, European and National Projects.

0.033829853 = product of:
  0.067659706 = sum of:
    0.04883048 = weight(_text_:social in 2595) [ClassicSimilarity], result of:
      0.04883048 = score(doc=2595,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.26434162 = fieldWeight in 2595, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046875 = fieldNorm(doc=2595)
    0.018829225 = product of:
      0.03765845 = sum of:
        0.03765845 = weight(_text_:22 in 2595) [ClassicSimilarity], result of:
          0.03765845 = score(doc=2595,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.23214069 = fieldWeight in 2595, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=2595)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Academic libraries have moved toward providing social networking features, such as tagging, in their library catalogs. To explore whether user tags can enhance access to individual literary works, the author obtained a sample of individual works of English and American literature from the twentieth and twenty-first centuries from a large academic library catalog and searched them in LibraryThing. The author compared match rates, the availability of subject headings and tags across various literary forms, and the terminology used in tags versus controlled-vocabulary headings on a subset of records. In addition, she evaluated the usefulness of available LibraryThing tags for the library catalog records that lacked subject headings. Options for utilizing the subject terms available in sources outside the local catalog also are discussed.

Date

10. 9.2000 17:38:22

0.0321699 = product of:
  0.1286796 = sum of:
    0.1286796 = weight(_text_:social in 101) [ClassicSimilarity], result of:
      0.1286796 = score(doc=101,freq=20.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.69660133 = fieldWeight in 101, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=101)
  0.25 = coord(1/4)

Abstract

Social tagging, hashtags, and geotags are used across a variety of platforms (Twitter, Facebook, Tumblr, WordPress, Instagram) in different countries and cultures. This book, representing researchers and practitioners across different information professions, explores how social tags can link content across a variety of environments. Most studies of social tagging have tended to focus on applications like library catalogs, blogs, and social bookmarking sites. This book, in setting out a theoretical background and the use of a series of case studies, explores the role of hashtags as a form of linked data?without the complex implementation of RDF and other Semantic Web technologies.

LCSH

Social media

RSWK

Linked Data / Social Tagging

Subject

Social media
Linked Data / Social Tagging

Theme

Social tagging

0.026915273 = product of:
  0.10766109 = sum of:
    0.10766109 = weight(_text_:social in 745) [ClassicSimilarity], result of:
      0.10766109 = score(doc=745,freq=14.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.5828185 = fieldWeight in 745, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=745)
  0.25 = coord(1/4)

Abstract

With the increasing popularity of social tagging systems, the potential for using social tags as a source of metadata is being explored. Social tagging systems can simplify the involvement of a large number of users and improve the metadata-generation process. Current research is exploring social tagging systems as a mechanism to allow nonprofessional catalogers to participate in metadata generation. Because social tags are not from controlled vocabularies, there are issues that have to be addressed in finding quality terms to represent the content of a resource. This research explores ways to obtain a set of tags representing the resource from the tags provided by users. Two metrics are introduced. Annotation Dominance (AD) is a measure of the extent to which a tag term is agreed to by users. Cross Resources Annotation Discrimination (CRAD) is a measure of a tag's potential to classify a collection. It is designed to remove tags that are used too broadly or narrowly. Using the proposed measurements, the research selects important tags (meta-terms) and removes meaningless ones (tag noise) from the tags provided by users. To evaluate the proposed approach to find classificatory metadata candidates, we rely on expert users' relevance judgments comparing suggested tag terms and expert metadata terms. The results suggest that processing of user tags using the two measurements successfully identifies the terms that represent the topic categories of web resource content. The suggested tag terms can be further examined in various usages as semantic metadata for the resources.

Theme

Social tagging

0.022553235 = product of:
  0.04510647 = sum of:
    0.032553654 = weight(_text_:social in 367) [ClassicSimilarity], result of:
      0.032553654 = score(doc=367,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.17622775 = fieldWeight in 367, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=367)
    0.012552816 = product of:
      0.025105633 = sum of:
        0.025105633 = weight(_text_:22 in 367) [ClassicSimilarity], result of:
          0.025105633 = score(doc=367,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.15476047 = fieldWeight in 367, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=367)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

The proliferation of discipline-specific metadata schemes contributes to artificial barriers that can impede interdisciplinary and transdisciplinary research. The authors considered this problem by examining the domains, objectives, and architectures of nine metadata schemes used to document scientific data in the physical, life, and social sciences. They used a mixed-methods content analysis and Greenberg's () metadata objectives, principles, domains, and architectural layout (MODAL) framework, and derived 22 metadata-related goals from textual content describing each metadata scheme. Relationships are identified between the domains (e.g., scientific discipline and type of data) and the categories of scheme objectives. For each strong correlation (>0.6), a Fisher's exact test for nonparametric data was used to determine significance (p < .05). Significant relationships were found between the domains and objectives of the schemes. Schemes describing observational data are more likely to have "scheme harmonization" (compatibility and interoperability with related schemes) as an objective; schemes with the objective "abstraction" (a conceptual model exists separate from the technical implementation) also have the objective "sufficiency" (the scheme defines a minimal amount of information to meet the needs of the community); and schemes with the objective "data publication" do not have the objective "element refinement." The analysis indicates that many metadata-driven goals expressed by communities are independent of scientific discipline or the type of data, although they are constrained by historical community practices and workflows as well as the technological environment at the time of scheme creation. The analysis reveals 11 fundamental metadata goals for metadata documenting scientific data in support of sharing research data across disciplines and domains. The authors report these results and highlight the need for more metadata-related research, particularly in the context of recent funding agency policy changes.

0.0142422225 = product of:
  0.05696889 = sum of:
    0.05696889 = weight(_text_:social in 1968) [ClassicSimilarity], result of:
      0.05696889 = score(doc=1968,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.30839854 = fieldWeight in 1968, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1968)
  0.25 = coord(1/4)

Theme

Social tagging

0.01220762 = product of:
  0.04883048 = sum of:
    0.04883048 = weight(_text_:social in 1574) [ClassicSimilarity], result of:
      0.04883048 = score(doc=1574,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.26434162 = fieldWeight in 1574, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046875 = fieldNorm(doc=1574)
  0.25 = coord(1/4)

Abstract

Using data culled during a metadata quality research project for the Social Network and Archival Context (SNAC) project, this article discusses common errors and problems in the use of standardized languages, specifically unambiguous names for persons and corporate bodies. Errors such as misspelling, qualifiers, format, and miss-encoding point to several areas where quality control measures can improve aggregation of data. Results from a large data set indicate that there are predictable problems that can be retrospectively corrected before aggregation. This research looked specifically at name formation and expression in metadata records, but the errors detected could be extended to other controlled vocabularies as well.

0.01220762 = product of:
  0.04883048 = sum of:
    0.04883048 = weight(_text_:social in 3274) [ClassicSimilarity], result of:
      0.04883048 = score(doc=3274,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.26434162 = fieldWeight in 3274, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046875 = fieldNorm(doc=3274)
  0.25 = coord(1/4)

Content

The papers are organized in several sessions and tracks: general track on ontology evolution, engineering, and frameworks, semantic Web and metadata extraction, modelling, interoperability and exploratory search, data analysis, reuse and visualization; track on digital libraries, information retrieval, linked and social data; track on metadata and semantics for open repositories, research information systems and data infrastructure; track on metadata and semantics for agriculture, food and environment; track on metadata and semantics for cultural collections and applications; track on European and national projects.

0.01220762 = product of:
  0.04883048 = sum of:
    0.04883048 = weight(_text_:social in 4013) [ClassicSimilarity], result of:
      0.04883048 = score(doc=4013,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.26434162 = fieldWeight in 4013, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046875 = fieldNorm(doc=4013)
  0.25 = coord(1/4)

Abstract

The information sciences have traditionally been at the center of metadata-focused research. The US National Security Agency (NSA) intelligence documents revealed by Edward Snowden in June of 2013 brought the term "metadata" into the public consciousness. Surprisingly little discussion in the information sciences has since occurred on the nature and importance of metadata within networked communication systems. The collection of digital metadata impacts the ways that people experience social and technical communication. Without such metadata, networked communication cannot exist. The NSA leaks, and numerous recent hacks of corporate and government communications, point to metadata as objects of new scholarly inquiry. If we are to engage in meaningful discussions about our digital traces, or make informed decisions about new policies and technologies, it is essential to develop theoretical and empirical frameworks that account for digital metadata. This opinion paper presents 5 key sociotechnical characteristics of metadata within digital networks that would benefit from stronger engagement by the information sciences.

0.010173016 = product of:
  0.040692065 = sum of:
    0.040692065 = weight(_text_:social in 3707) [ClassicSimilarity], result of:
      0.040692065 = score(doc=3707,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.22028469 = fieldWeight in 3707, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3707)
  0.25 = coord(1/4)

Abstract

Purpose The purpose of this paper is threefold: to focus on the process of multilingual concept scheme construction and the challenges involved; to addresses concrete challenges faced in the construction process and especially those related to equivalence between terms and concepts; and to briefly outlines the translation strategies developed during the process of concept scheme construction. Design/methodology/approach The analysis is based on experience acquired during the establishment of the Finnish thesaurus and ontology service Finto as well as the trilingual General Finnish Ontology YSO, both of which are being maintained and further developed at the National Library of Finland. Findings Although uniform resource identifiers can be considered language-independent, they do not render concept schemes and their construction free of language-related challenges. The fundamental issue with all the challenges faced is how to maintain consistency and predictability when the nature of language requires each concept to be treated individually. The key to such challenges is to recognise the function of the vocabulary and the needs of its intended users. Social implications Open science increases the transparency of not only research products, but also metadata tools. Gaining a deeper understanding of the challenges involved in their construction is important for a great variety of users - e.g. indexers, vocabulary builders and information seekers. Today, multilingualism is an essential aspect at both the national and international information society level. Originality/value This paper draws on the practical challenges faced in concept scheme construction in a trilingual environment, with a focus on "concept scheme" as a translation and mapping unit.

0.010173016 = product of:
  0.040692065 = sum of:
    0.040692065 = weight(_text_:social in 3946) [ClassicSimilarity], result of:
      0.040692065 = score(doc=3946,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.22028469 = fieldWeight in 3946, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3946)
  0.25 = coord(1/4)

Abstract

Purpose The purpose of this paper is to investigate tag use in a metadata ecosystem that supports a fan work repository to identify functions of tags and explore the system as a co-constructed communicative context. Design/methodology/approach Using modified techniques from grounded theory (Charmaz, 2007), this paper integrates humanistic and social science methods to identify kinds of tag use in a rich setting. Findings Three primary roles of tags emerge out of detailed study of the metadata ecosystem: tags can identify elements in the fan work, tags can reflect on how those elements are used or adapted in the fan work, and finally, tags can express the fan author's sense of her role in the discursive context of the fan work repository. Attending to each of the tag roles shifts focus away from just what tags say to include how they say it. Practical implications Instead of building metadata systems designed solely for retrieval or description, this research suggests that it may be fruitful to build systems that recognize various metadata functions and allow for expressivity. This research also suggests that attending to metadata previously considered unusable in systems may reflect the participants' sense of the system and their role within it. Originality/value In addition to accommodating a wider range of tag functions, this research implies consideration of metadata ecosystems, where different kinds of tags do different things and work together to create a multifaceted artifact.

0.009149151 = product of:
  0.036596604 = sum of:
    0.036596604 = product of:
      0.07319321 = sum of:
        0.07319321 = weight(_text_:aspects in 2806) [ClassicSimilarity], result of:
          0.07319321 = score(doc=2806,freq=2.0), product of:
            0.20938325 = queryWeight, product of:
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.046325076 = queryNorm
            0.3495657 = fieldWeight in 2806, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2806)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Abstract

Digital repositories require good metadata, created according to community-based principles that include provisions for interoperability. When metadata is of high quality, digital objects become sharable and metadata can be harvested and reused outside of the local system. A sample of U.S.-based repository administrators from the OpenDOAR initiative were surveyed to understand aspects of the quality and creation of their metadata, and how their metadata could improve. Most respondents (65%) thought their metadata was of average quality; none thought their metadata was high quality or poor quality. The discussion argues that increased strategic staffing will alleviate many perceived issues with metadata quality.

0.009149151 = product of:
  0.036596604 = sum of:
    0.036596604 = product of:
      0.07319321 = sum of:
        0.07319321 = weight(_text_:aspects in 5236) [ClassicSimilarity], result of:
          0.07319321 = score(doc=5236,freq=2.0), product of:
            0.20938325 = queryWeight, product of:
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.046325076 = queryNorm
            0.3495657 = fieldWeight in 5236, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.5198684 = idf(docFreq=1308, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5236)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Abstract

The Black Book Interactive Project at the University of Kansas (KU) is developing an expanded corpus of novels by African American authors, with an emphasis on lesser known writers and a goal of expanding research in this field. Using a custom metadata schema with an emphasis on race-related elements, each novel is analyzed for a variety of elements such as literary style, targeted content analysis, historical context, and other areas. Librarians at KU have worked to develop a variety of computational text analysis processes designed to assist with specific aspects of this metadata collection, including text mining and natural language processing, automated subject extraction based on word sense disambiguation, harvesting data from Wikidata, and other actions.

0.008138414 = product of:
  0.032553654 = sum of:
    0.032553654 = weight(_text_:social in 2320) [ClassicSimilarity], result of:
      0.032553654 = score(doc=2320,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.17622775 = fieldWeight in 2320, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=2320)
  0.25 = coord(1/4)

Abstract

Purpose - The purpose of this paper is to describe a new approach to a well-known problem for digital libraries, how to search across multiple unrelated libraries with a single query. Design/methodology/approach - The approach involves creating new Dewey Decimal Classification terms and numbers from existing Dublin Core records. In total, 263,550 records were harvested from three digital libraries. Weighted key terms were extracted from the title, description and subject fields of each record. Ranked DDC classes were automatically generated from these key terms by considering DDC hierarchies via a series of filtering and aggregation stages. A mean reciprocal ranking evaluation compared a sample of 49 generated classes against DDC classes created by a trained librarian for the same records. Findings - The best results combined weighted key terms from the title, description and subject fields. Performance declines with increased specificity of DDC level. The results compare favorably with similar studies. Research limitations/implications - The metadata harvest required manual intervention and the evaluation was resource intensive. Future research will look at evaluation methodologies that take account of issues of consistency and ecological validity. Practical implications - The method does not require training data and is easily scalable. The pipeline can be customized for individual use cases, for example, recall or precision enhancing. Social implications - The approach can provide centralized access to information from multiple domains currently provided by individual digital libraries. Originality/value - The approach addresses metadata normalization in the context of web resources. The automatic classification approach accounts for matches within hierarchies, aggregating lower level matches to broader parents and thus approximates the practices of a human cataloger.

0.008138414 = product of:
  0.032553654 = sum of:
    0.032553654 = weight(_text_:social in 5046) [ClassicSimilarity], result of:
      0.032553654 = score(doc=5046,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.17622775 = fieldWeight in 5046, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=5046)
  0.25 = coord(1/4)

Abstract

Human interpretation of images during image annotation is complicated, but most existing interactive image annotation systems are generally operated based on social tagging, while ignoring that tags are insufficient to convey image semantics. Hence, it is critical to study the nature of image annotation behaviors and process. This study investigated annotation tactics, transitions, strategies and their efficiency during the image annotation process. A total of 90 participants were recruited to annotate nine pictures in three emotional dimensions with three interactive annotation methods. Data collected from annotation logs and verbal protocols were analyzed by applying both qualitative and quantitative methods. The findings of this study show that the cognitive process of human interpretation of images is rather complex, which reveals a probable bias in research involving image relevance feedback. Participants preferred applying scroll bar (Scr) and image comparison (Cim) tactics comparing with rating tactic (Val), and they did fewer fine tuning activities, which reflects the influence of perceptual level and users' cognitive load during image annotation. Annotation tactic transition analysis showed that Cim was more likely to be adopted at the beginning of each phase, and the most remarkable transition was from Cim to Scr. By applying sequence analysis, the authors found 10 most commonly used sequences representing four types of annotation strategies, including Single tactic strategy, Tactic combination strategy, Fix mode strategy and Shift mode strategy. Furthermore, two patterns, "quarter decreasing" and "transition cost," were identified based on time data, and both multiple tactics (e.g., the combination of Cim and Scr) and fine tuning activities were recognized as efficient tactic applications. Annotation patterns found in this study suggest more research needs to be done considering the need for multi-interactive methods and their influence. The findings of this study generated detailed and useful guidance for the interactive design in image annotation systems, including recommending efficient tactic applications in different phases, highlighting the most frequently applied tactics and transitions, and avoiding unnecessary transitions.

0.008138414 = product of:
  0.032553654 = sum of:
    0.032553654 = weight(_text_:social in 5068) [ClassicSimilarity], result of:
      0.032553654 = score(doc=5068,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.17622775 = fieldWeight in 5068, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=5068)
  0.25 = coord(1/4)

Abstract

This paper presents a new theory of metadata enriching and filtering. The theory emerged from a rigorous grounded theory data analysis of 57 in-depth interviews with metadata experts, library and information science researchers, librarians as well as academic library users (G. Alemu, A Theory of Digital Library Metadata: The Emergence of Enriching and Filtering, University of Portsmouth PhD thesis, Portsmouth, 2014). Partly due to the novelty of Web 2.0 approaches and mainly due to the absence of foundational theories to underpin socially constructed metadata approaches, this research adapted a social constructivist philosophical approach and a constructivist grounded theory method (K.?Charmaz, Constructing Grounded Theory: A Practical Guide through Qualitative Analysis, SAGE Publications, London, 2006). The theory espouses the importance of enriching information objects with descriptions pertaining to the about-ness of information objects. Such richness and diversity of descriptions, it is argued, could chiefly be achieved by involving users in the metadata creation process. The theory includes four overarching metadata principles - metadata enriching, linking, openness and filtering. The theory proposes a mixed metadata approach where metadata experts provide the requisite basic descriptive metadata, structure and interoperability (a priori metadata) while users continually enrich it with their own interpretations (post-hoc metadata). Enriched metadata is inter- and cross-linked (the principle of linking), made openly accessible (the principle of openness) and presented (the principle of filtering) according to user needs. It is argued that enriched, interlinked and open metadata effectively rises and scales to the challenges presented by the growing digital collections and changing user expectations. This metadata approach allows users to pro-actively engage in co-creating metadata, hence enhancing the findability, discoverability and subsequent usage of information resources. This paper concludes by indicating the current challenges and opportunities to implement the theory of metadata enriching and filtering.

0.008138414 = product of:
  0.032553654 = sum of:
    0.032553654 = weight(_text_:social in 5134) [ClassicSimilarity], result of:
      0.032553654 = score(doc=5134,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.17622775 = fieldWeight in 5134, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=5134)
  0.25 = coord(1/4)

Abstract

Metadata research has emerged as a discipline cross-cutting many domains, focused on the provision of distributed descriptions (often called annotations) to Web resources or applications. Such associated descriptions are supposed to serve as a foundation for advanced services in many application areas, including search and location, personalization, federation of repositories and automated delivery of information. Indeed, the Semantic Web is in itself a concrete technological framework for ontology-based metadata. For example, Web-based social networking requires metadata describing people and their interrelations, and large databases with biological information use complex and detailed metadata schemas for more precise and informed search strategies. There is a wide diversity in the languages and idioms used for providing meta-descriptions, from simple structured text in metadata schemas to formal annotations using ontologies, and the technologies for storing, sharing and exploiting meta-descriptions are also diverse and evolve rapidly. In addition, there is a proliferation of schemas and standards related to metadata, resulting in a complex and moving technological landscape - hence, the need for specialized knowledge and skills in this area. The Handbook of Metadata, Semantics and Ontologies is intended as an authoritative reference for students, practitioners and researchers, serving as a roadmap for the variety of metadata schemas and ontologies available in a number of key domain areas, including culture, biology, education, healthcare, engineering and library science.

0.008138414 = product of:
  0.032553654 = sum of:
    0.032553654 = weight(_text_:social in 117) [ClassicSimilarity], result of:
      0.032553654 = score(doc=117,freq=2.0), product of:
        0.1847249 = queryWeight, product of:
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.046325076 = queryNorm
        0.17622775 = fieldWeight in 117, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9875789 = idf(docFreq=2228, maxDocs=44218)
          0.03125 = fieldNorm(doc=117)
  0.25 = coord(1/4)

Imprint

Niteroi : UNIVERSIDADE FEDERAL FLUMINENSE / INSTITUTO DE ARTE E COMUNICAÇÃO SOCIAL / DEPARTAMENTO DE CIÊNCIA DA INFORMAÇÃO

0.007845511 = product of:
  0.031382043 = sum of:
    0.031382043 = product of:
      0.062764086 = sum of:
        0.062764086 = weight(_text_:22 in 3280) [ClassicSimilarity], result of:
          0.062764086 = score(doc=3280,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.38690117 = fieldWeight in 3280, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=3280)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Source

Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou

0.007845511 = product of:
  0.031382043 = sum of:
    0.031382043 = product of:
      0.062764086 = sum of:
        0.062764086 = weight(_text_:22 in 3281) [ClassicSimilarity], result of:
          0.062764086 = score(doc=3281,freq=2.0), product of:
            0.16222252 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046325076 = queryNorm
            0.38690117 = fieldWeight in 3281, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=3281)
      0.5 = coord(1/2)
  0.25 = coord(1/4)

Source

Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou