Search (249 results, page 1 of 13)

  • × theme_ss:"Metadaten"
  1. Zhang, J.; Jastram, I.: ¬A study of the metadata creation behavior of different user groups on the Internet (2006) 0.13 
    0.12857777 = product of:
  0.17143703 = sum of:
    0.07053544 = weight(_text_:web in 982) [ClassicSimilarity], result of:
      0.07053544 = score(doc=982,freq=6.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.43716836 = fieldWeight in 982, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=982)
    0.046190813 = weight(_text_:search in 982) [ClassicSimilarity], result of:
      0.046190813 = score(doc=982,freq=2.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.2688082 = fieldWeight in 982, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0546875 = fieldNorm(doc=982)
    0.05471077 = product of:
      0.10942154 = sum of:
        0.10942154 = weight(_text_:engine in 982) [ClassicSimilarity], result of:
          0.10942154 = score(doc=982,freq=2.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.41372913 = fieldWeight in 982, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0546875 = fieldNorm(doc=982)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    Metadata is designed to improve information organization and information retrieval effectiveness and efficiency on the Internet. The way web publishers respond to metadata and the way they use it when publishing their web pages, however, is still a mystery. The authors of this paper aim to solve this mystery by defining different professional publisher groups, examining the behaviors of these user groups, and identifying the characteristics of their metadata use. This study will enhance the current understanding of metadata application behavior and provide evidence useful to researchers, web publishers, and search engine designers.
  2. Franklin, R.A.: Re-inventing subject access for the semantic web (2003) 0.11 
    0.11402985 = product of:
  0.1520398 = sum of:
    0.09235258 = weight(_text_:web in 2556) [ClassicSimilarity], result of:
      0.09235258 = score(doc=2556,freq=14.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.57238775 = fieldWeight in 2556, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=2556)
    0.03959212 = weight(_text_:search in 2556) [ClassicSimilarity], result of:
      0.03959212 = score(doc=2556,freq=2.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.230407 = fieldWeight in 2556, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.046875 = fieldNorm(doc=2556)
    0.02009509 = product of:
      0.04019018 = sum of:
        0.04019018 = weight(_text_:22 in 2556) [ClassicSimilarity], result of:
          0.04019018 = score(doc=2556,freq=2.0), product of:
            0.17312855 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049439456 = queryNorm
            0.23214069 = fieldWeight in 2556, 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=2556)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    First generation scholarly research on the Web lacked a firm system of authority control. Second generation Web research is beginning to model subject access with library science principles of bibliographic control and cataloguing. Harnessing the Web and organising the intellectual content with standards and controlled vocabulary provides precise search and retrieval capability, increasing relevance and efficient use of technology. Dublin Core metadata standards permit a full evaluation and cataloguing of Web resources appropriate to highly specific research needs and discovery. Current research points to a type of structure based on a system of faceted classification. This system allows the semantic and syntactic relationships to be defined. Controlled vocabulary, such as the Library of Congress Subject Headings, can be assigned, not in a hierarchical structure, but rather as descriptive facets of relating concepts. Web design features such as this are adding value to discovery and filtering out data that lack authority. The system design allows for scalability and extensibility, two technical features that are integral to future development of the digital library and resource discovery.
    Date
    30.12.2008 18:22:46
    Theme
    Semantic Web
  3. Craven, T.C.: Variations in use of meta tag descriptions by Web pages in different languages (2004) 0.11 
    0.106218934 = product of:
  0.14162524 = sum of:
    0.04072366 = weight(_text_:web in 2569) [ClassicSimilarity], result of:
      0.04072366 = score(doc=2569,freq=2.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.25239927 = fieldWeight in 2569, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2569)
    0.046190813 = weight(_text_:search in 2569) [ClassicSimilarity], result of:
      0.046190813 = score(doc=2569,freq=2.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.2688082 = fieldWeight in 2569, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2569)
    0.05471077 = product of:
      0.10942154 = sum of:
        0.10942154 = weight(_text_:engine in 2569) [ClassicSimilarity], result of:
          0.10942154 = score(doc=2569,freq=2.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.41372913 = fieldWeight in 2569, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2569)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    Sets of top-ranking pages in 20 languages returned by the Google search engine were downloaded and analyzed for presence of meta tag descriptions and lengths of descriptions. Results showed significant differences in proportion of pages with descriptions and in lengths of descriptions depending on language; specifically, pages in major Western European languages showed higher proportions with descriptions, while pages in Chinese showed the lowest proportions. Descriptions were mostly in the languages of the pages, though English descriptions were provided on some non-English pages. With few exceptions, coding schemes adopted for diacritics and non-Roman characters were standard.
  4. What is Schema.org? (2011) 0.08 
    0.07871973 = product of:
  0.15743946 = sum of:
    0.060458954 = weight(_text_:web in 4437) [ClassicSimilarity], result of:
      0.060458954 = score(doc=4437,freq=6.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.37471575 = fieldWeight in 4437, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=4437)
    0.0969805 = weight(_text_:search in 4437) [ClassicSimilarity], result of:
      0.0969805 = score(doc=4437,freq=12.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.5643796 = fieldWeight in 4437, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.046875 = fieldNorm(doc=4437)
  0.5 = coord(2/4)
    Abstract
    This site provides a collection of schemas, i.e., html tags, that webmasters can use to markup their pages in ways recognized by major search providers. Search engines including Bing, Google and Yahoo! rely on this markup to improve the display of search results, making it easier for people to find the right web pages. Many sites are generated from structured data, which is often stored in databases. When this data is formatted into HTML, it becomes very difficult to recover the original structured data. Many applications, especially search engines, can benefit greatly from direct access to this structured data. On-page markup enables search engines to understand the information on web pages and provide richer search results in order to make it easier for users to find relevant information on the web. Markup can also enable new tools and applications that make use of the structure. A shared markup vocabulary makes easier for webmasters to decide on a markup schema and get the maximum benefit for their efforts. So, in the spirit of sitemaps.org, Bing, Google and Yahoo! have come together to provide a shared collection of schemas that webmasters can use.
  5. Thonely, J.: ¬The road to meta : the implementation of Dublin Core metadata in the State Library of Queensland website (1998) 0.07 
    0.06670072 = product of:
  0.13340144 = sum of:
    0.08061194 = weight(_text_:web in 2585) [ClassicSimilarity], result of:
      0.08061194 = score(doc=2585,freq=6.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.49962097 = fieldWeight in 2585, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=2585)
    0.052789498 = weight(_text_:search in 2585) [ClassicSimilarity], result of:
      0.052789498 = score(doc=2585,freq=2.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.30720934 = fieldWeight in 2585, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0625 = fieldNorm(doc=2585)
  0.5 = coord(2/4)
    Abstract
    The goal of the State Library of Queensland's Metadata Project is the deployment of metadata using the Dublin Core Metadata Element Set in the State Library' WWW Web pages. The deployment of metadata is expected to improve resource discovery by Internet users, through provision of index information (metadata) in State Library Web pages which is then available to search engines for indexing. The project is also an initial attempt to set standards for metadata deployment in queensland libraries Web pages
  6. Liechti, O.; Sifer, M.J.; Ichikawa, T.: Structured graph format : XML metadata for describing Web site structure (1998) 0.06 
    0.061598226 = product of:
  0.12319645 = sum of:
    0.09975218 = weight(_text_:web in 3597) [ClassicSimilarity], result of:
      0.09975218 = score(doc=3597,freq=12.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.6182494 = fieldWeight in 3597, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3597)
    0.023444273 = product of:
      0.046888545 = sum of:
        0.046888545 = weight(_text_:22 in 3597) [ClassicSimilarity], result of:
          0.046888545 = score(doc=3597,freq=2.0), product of:
            0.17312855 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049439456 = queryNorm
            0.2708308 = fieldWeight in 3597, 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=3597)
      0.5 = coord(1/2)
  0.5 = coord(2/4)
    Abstract
    To improve searching, filtering and processing of information on the Web, a common effort is made in the direction of metadata, defined as machine understandable information about Web resources or other things. In particular, the eXtensible Markup Language (XML) aims at providing a common syntax to emerging metadata formats. Proposes the Structured Graph Format (SGF) an XML compliant markup language based on structured graphs, for capturing Web sites' structure. Presents SGMapper, a client-site tool, which aims to facilitate navigation in large Web sites by generating highly interactive site maps using SGF metadata
    Date
    1. 8.1996 22:08:06
    Footnote
    Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia
  7. Mehler, A.; Waltinger, U.: Automatic enrichment of metadata (2009) 0.06 
    0.05930443 = product of:
  0.11860886 = sum of:
    0.06581937 = weight(_text_:web in 4840) [ClassicSimilarity], result of:
      0.06581937 = score(doc=4840,freq=4.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.4079388 = fieldWeight in 4840, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=4840)
    0.052789498 = weight(_text_:search in 4840) [ClassicSimilarity], result of:
      0.052789498 = score(doc=4840,freq=2.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.30720934 = fieldWeight in 4840, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0625 = fieldNorm(doc=4840)
  0.5 = coord(2/4)
    Abstract
    In this talk we present a retrieval model based on social ontologies. More specifically, we utilize the Wikipedia category system in order to perform semantic searches. That is, textual input is used to build queries by means of which documents are retrieved which do not necessarily contain any query term but are semantically related to the input text by virtue of their content. We present a desktop which utilizes this search facility in a web-based environment - the so called eHumanities Desktop.
    Theme
    Semantic Web
  8. Heidorn, P.B.; Wei, Q.: Automatic metadata extraction from museum specimen labels (2008) 0.06 
    0.059120752 = product of:
  0.07882767 = sum of:
    0.029088326 = weight(_text_:web in 2624) [ClassicSimilarity], result of:
      0.029088326 = score(doc=2624,freq=2.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.18028519 = fieldWeight in 2624, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2624)
    0.032993436 = weight(_text_:search in 2624) [ClassicSimilarity], result of:
      0.032993436 = score(doc=2624,freq=2.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.19200584 = fieldWeight in 2624, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2624)
    0.01674591 = product of:
      0.03349182 = sum of:
        0.03349182 = weight(_text_:22 in 2624) [ClassicSimilarity], result of:
          0.03349182 = score(doc=2624,freq=2.0), product of:
            0.17312855 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049439456 = queryNorm
            0.19345059 = fieldWeight in 2624, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2624)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    This paper describes the information properties of museum specimen labels and machine learning tools to automatically extract Darwin Core (DwC) and other metadata from these labels processed through Optical Character Recognition (OCR). The DwC is a metadata profile describing the core set of access points for search and retrieval of natural history collections and observation databases. Using the HERBIS Learning System (HLS) we extract 74 independent elements from these labels. The automated text extraction tools are provided as a web service so that users can reference digital images of specimens and receive back an extended Darwin Core XML representation of the content of the label. This automated extraction task is made more difficult by the high variability of museum label formats, OCR errors and the open class nature of some elements. In this paper we introduce our overall system architecture, and variability robust solutions including, the application of Hidden Markov and Naïve Bayes machine learning models, data cleaning, use of field element identifiers, and specialist learning models. The techniques developed here could be adapted to any metadata extraction situation with noisy text and weakly ordered elements.
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  9. Turner, T.P.; Brackbill, L.: Rising to the top : evaluating the use of HTML META tag to improve retrieval of World Wide Web documents through Internet search engines (1998) 0.06 
    0.05897005 = product of:
  0.1179401 = sum of:
    0.049364526 = weight(_text_:web in 5230) [ClassicSimilarity], result of:
      0.049364526 = score(doc=5230,freq=4.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.3059541 = fieldWeight in 5230, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=5230)
    0.068575576 = weight(_text_:search in 5230) [ClassicSimilarity], result of:
      0.068575576 = score(doc=5230,freq=6.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.39907667 = fieldWeight in 5230, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.046875 = fieldNorm(doc=5230)
  0.5 = coord(2/4)
    Abstract
    Reports results of a study to evaluate the effectiveness of using the HTML META tag to improve retrieval of World Wide Web documents through Internet search engines. 20 documents were created in 5 subject areas: agricultural trade; farm business statistics; poultry statistics; vegetable statistics; and cotton statistics. 4 pages were created in each subject area: one with no META tags, one with a META tag using the keywords attribute, one with a META tag using the description attribute, and one with META tags using both the keywords and description attributes. Searches were performed in Alta Vista and Infoseek to find terms common to all pages as well as for each keyword term contained in the META tag. Analysis of the searches suggests that use of the keywords attribute in a META tag substantially improves accessibility while use of the description attribute alone does not. Concludes that HTML document authors should consider using keywords attribute META tags and suggests that more search engines index the META tag to improve resource discovery
  10. Qin, J.; Wesley, K.: Web indexing with meta fields : a survey of Web objects in polymer chemistry (1998) 0.06 
    0.058822148 = product of:
  0.117644295 = sum of:
    0.07805218 = weight(_text_:web in 3589) [ClassicSimilarity], result of:
      0.07805218 = score(doc=3589,freq=10.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.48375595 = fieldWeight in 3589, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=3589)
    0.03959212 = weight(_text_:search in 3589) [ClassicSimilarity], result of:
      0.03959212 = score(doc=3589,freq=2.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.230407 = fieldWeight in 3589, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.046875 = fieldNorm(doc=3589)
  0.5 = coord(2/4)
    Abstract
    Reports results of a study of 4 WWW search engines: AltaVista; Lycos; Excite and WebCrawler to collect data on Web objects on polymer chemistry. 1.037 Web objects were examined for data in 4 categories: document information; use of meta fields; use of images and use of chemical names. Issues raised included: whether to provide metadata elements for parts of entities or whole entities only, the use of metasyntax, problems in representation of special types of objects, and whether links should be considered when encoding metadata. Use of metafields was not widespread in the sample and knowledge of metafields in HTML varied greatly among Web object creators. The study formed part of a metadata project funded by the OCLC Library and Information Science Research Grant Program
  11. Wallis, R.; Isaac, A.; Charles, V.; Manguinhas, H.: Recommendations for the application of Schema.org to aggregated cultural heritage metadata to increase relevance and visibility to search engines : the case of Europeana (2017) 0.06 
    0.057456337 = product of:
  0.114912674 = sum of:
    0.041137107 = weight(_text_:web in 3372) [ClassicSimilarity], result of:
      0.041137107 = score(doc=3372,freq=4.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.25496176 = fieldWeight in 3372, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3372)
    0.07377557 = weight(_text_:search in 3372) [ClassicSimilarity], result of:
      0.07377557 = score(doc=3372,freq=10.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.4293381 = fieldWeight in 3372, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3372)
  0.5 = coord(2/4)
    Abstract
    Europeana provides access to more than 54 million cultural heritage objects through its portal Europeana Collections. It is crucial for Europeana to be recognized by search engines as a trusted authoritative repository of cultural heritage objects. Indeed, even though its portal is the main entry point, most Europeana users come to it via search engines. Europeana Collections is fuelled by metadata describing cultural objects, represented in the Europeana Data Model (EDM). This paper presents the research and consequent recommendations for publishing Europeana metadata using the Schema.org vocabulary and best practices. Schema.org html embedded metadata to be consumed by search engines to power rich services (such as Google Knowledge Graph). Schema.org is an open and widely adopted initiative (used by over 12 million domains) backed by Google, Bing, Yahoo!, and Yandex, for sharing metadata across the web It underpins the emergence of new web techniques, such as so called Semantic SEO. Our research addressed the representation of the embedded metadata as part of the Europeana HTML pages and sitemaps so that the re-use of this data can be optimized. The practical objective of our work is to produce a Schema.org representation of Europeana resources described in EDM, being the richest as possible and tailored to Europeana's realities and user needs as well the search engines and their users.
  12. Marchiori, M.: ¬The limits of Web metadata, and beyond (1998) 0.06 
    0.057252567 = product of:
  0.114505135 = sum of:
    0.09106086 = weight(_text_:web in 3383) [ClassicSimilarity], result of:
      0.09106086 = score(doc=3383,freq=10.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.5643819 = fieldWeight in 3383, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3383)
    0.023444273 = product of:
      0.046888545 = sum of:
        0.046888545 = weight(_text_:22 in 3383) [ClassicSimilarity], result of:
          0.046888545 = score(doc=3383,freq=2.0), product of:
            0.17312855 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049439456 = queryNorm
            0.2708308 = fieldWeight in 3383, 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=3383)
      0.5 = coord(1/2)
  0.5 = coord(2/4)
    Abstract
    Highlights 2 major problems of the WWW metadata: it will take some time before a reasonable number of people start using metadata to provide a better Web classification, and that no one can guarantee that a majority of the Web objects will be ever properly classified via metadata. Addresses the problem of how to cope with intrinsic limits of Web metadata, proposes a method to solve these problems and show evidence of its effectiveness. Examines the important problem of what is the required critical mass in the WWW for metadata in order for it to be really useful
    Date
    1. 8.1996 22:08:06
    Footnote
    Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia
  13. Roux, M.: Metadata for search engines : what can be learned from e-Sciences? (2012) 0.06 
    0.057045117 = product of:
  0.114090234 = sum of:
    0.03490599 = weight(_text_:web in 96) [ClassicSimilarity], result of:
      0.03490599 = score(doc=96,freq=2.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.21634221 = fieldWeight in 96, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=96)
    0.07918424 = weight(_text_:search in 96) [ClassicSimilarity], result of:
      0.07918424 = score(doc=96,freq=8.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.460814 = fieldWeight in 96, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.046875 = fieldNorm(doc=96)
  0.5 = coord(2/4)
    Abstract
    E-sciences are data-intensive sciences that make a large use of the Web to share, collect, and process data. In this context, primary scientific data is becoming a new challenging issue as data must be extensively described (1) to account for empiric conditions and results that allow interpretation and/or analyses and (2) to be understandable by computers used for data storage and information retrieval. With this respect, metadata is a focal point whatever it is considered from the point of view of the user to visualize and exploit data as well as this of the search tools to find and retrieve information. Numerous disciplines are concerned with the issues of describing complex observations and addressing pertinent knowledge. In this paper, similarities and differences in data description and exploration strategies among disciplines in e-sciences are examined.
    Footnote
    Vgl.: http://www.igi-global.com/book/next-generation-search-engines/64420.
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  14. Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany (2008) 0.06 
    0.0566559 = product of:
  0.0755412 = sum of:
    0.04072366 = weight(_text_:web in 2668) [ClassicSimilarity], result of:
      0.04072366 = score(doc=2668,freq=8.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.25239927 = fieldWeight in 2668, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.02734375 = fieldNorm(doc=2668)
    0.023095407 = weight(_text_:search in 2668) [ClassicSimilarity], result of:
      0.023095407 = score(doc=2668,freq=2.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.1344041 = fieldWeight in 2668, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.02734375 = fieldNorm(doc=2668)
    0.011722136 = product of:
      0.023444273 = sum of:
        0.023444273 = weight(_text_:22 in 2668) [ClassicSimilarity], result of:
          0.023444273 = score(doc=2668,freq=2.0), product of:
            0.17312855 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049439456 = queryNorm
            0.1354154 = fieldWeight in 2668, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.02734375 = fieldNorm(doc=2668)
      0.5 = coord(1/2)
  0.75 = coord(3/4)
    Abstract
    Metadata is a key aspect of our evolving infrastructure for information management, social computing, and scientific collaboration. DC-2008 will focus on metadata challenges, solutions, and innovation in initiatives and activities underlying semantic and social applications. Metadata is part of the fabric of social computing, which includes the use of wikis, blogs, and tagging for collaboration and participation. Metadata also underlies the development of semantic applications, and the Semantic Web - the representation and integration of multimedia knowledge structures on the basis of semantic models. These two trends flow together in applications such as Wikipedia, where authors collectively create structured information that can be extracted and used to enhance access to and use of information sources. Recent discussion has focused on how existing bibliographic standards can be expressed as Semantic Web vocabularies to facilitate the ingration of library and cultural heritage data with other types of data. Harnessing the efforts of content providers and end-users to link, tag, edit, and describe their information in interoperable ways ("participatory metadata") is a key step towards providing knowledge environments that are scalable, self-correcting, and evolvable. DC-2008 will explore conceptual and practical issues in the development and deployment of semantic and social applications to meet the needs of specific communities of practice.
    Content
    Carol Jean Godby, Devon Smith, Eric Childress: Encoding Application Profiles in a Computational Model of the Crosswalk. - Maria Elisabete Catarino, Ana Alice Baptista: Relating Folksonomies with Dublin Core. - Ed Summers, Antoine Isaac, Clay Redding, Dan Krech: LCSH, SKOS and Linked Data. - Xia Lin, Jiexun Li, Xiaohua Zhou: Theme Creation for Digital Collections. - Boris Lauser, Gudrun Johannsen, Caterina Caracciolo, Willem Robert van Hage, Johannes Keizer, Philipp Mayr: Comparing Human and Automatic Thesaurus Mapping Approaches in the Agricultural Domain. - P. Bryan Heidorn, Qin Wei: Automatic Metadata Extraction From Museum Specimen Labels. - Stuart Allen Sutton, Diny Golder: Achievement Standards Network (ASN): An Application Profile for Mapping K-12 Educational Resources to Achievement Standards. - Allen H. Renear, Karen M. Wickett, Richard J. Urban, David Dubin, Sarah L. Shreeves: Collection/Item Metadata Relationships. - Seth van Hooland, Yves Bontemps, Seth Kaufman: Answering the Call for more Accountability: Applying Data Profiling to Museum Metadata. - Thomas Margaritopoulos, Merkourios Margaritopoulos, Ioannis Mavridis, Athanasios Manitsaris: A Conceptual Framework for Metadata Quality Assessment. - Miao Chen, Xiaozhong Liu, Jian Qin: Semantic Relation Extraction from Socially-Generated Tags: A Methodology for Metadata Generation. - Hak Lae Kim, Simon Scerri, John G. Breslin, Stefan Decker, Hong Gee Kim: The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies. - Martin Malmsten: Making a Library Catalogue Part of the Semantic Web. - Philipp Mayr, Vivien Petras: Building a Terminology Network for Search: The KoMoHe Project. - Michael Panzer: Cool URIs for the DDC: Towards Web-scale Accessibility of a Large Classification System. - Barbara Levergood, Stefan Farrenkopf, Elisabeth Frasnelli: The Specification of the Language of the Field and Interoperability: Cross-language Access to Catalogues and Online Libraries (CACAO)
  15. Dawson, A.; Hamilton, V.: Optimising metadata to make high-value content more accessible to Google users (2006) 0.06 
    0.056427345 = product of:
  0.11285469 = sum of:
    0.07377557 = weight(_text_:search in 5598) [ClassicSimilarity], result of:
      0.07377557 = score(doc=5598,freq=10.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.4293381 = fieldWeight in 5598, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5598)
    0.03907912 = product of:
      0.07815824 = sum of:
        0.07815824 = weight(_text_:engine in 5598) [ClassicSimilarity], result of:
          0.07815824 = score(doc=5598,freq=2.0), product of:
            0.26447627 = queryWeight, product of:
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.049439456 = queryNorm
            0.29552078 = fieldWeight in 5598, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.349498 = idf(docFreq=570, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5598)
      0.5 = coord(1/2)
  0.5 = coord(2/4)
    Abstract
    Purpose - This paper aims to show how information in digital collections that have been catalogued using high-quality metadata can be retrieved more easily by users of search engines such as Google. Design/methodology/approach - The research and proposals described arose from an investigation into the observed phenomenon that pages from the Glasgow Digital Library (gdl.cdlr.strath.ac.uk) were regularly appearing near the top of Google search results shortly after publication, without any deliberate effort to achieve this. The reasons for this phenomenon are now well understood and are described in the second part of the paper. The first part provides context with a review of the impact of Google and a summary of recent initiatives by commercial publishers to make their content more visible to search engines. Findings - The literature research provides firm evidence of a trend amongst publishers to ensure that their online content is indexed by Google, in recognition of its popularity with internet users. The practical research demonstrates how search engine accessibility can be compatible with use of established collection management principles and high-quality metadata. Originality/value - The concept of data shoogling is introduced, involving some simple techniques for metadata optimisation. Details of its practical application are given, to illustrate how those working in academic, cultural and public-sector organisations could make their digital collections more easily accessible via search engines, without compromising any existing standards and practices.
  16. Broughton, V.: Automatic metadata generation : Digital resource description without human intervention (2007) 0.06 
    0.05500108 = product of:
  0.11000216 = sum of:
    0.06981198 = weight(_text_:web in 6048) [ClassicSimilarity], result of:
      0.06981198 = score(doc=6048,freq=2.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.43268442 = fieldWeight in 6048, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.09375 = fieldNorm(doc=6048)
    0.04019018 = product of:
      0.08038036 = sum of:
        0.08038036 = weight(_text_:22 in 6048) [ClassicSimilarity], result of:
          0.08038036 = score(doc=6048,freq=2.0), product of:
            0.17312855 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049439456 = queryNorm
            0.46428138 = fieldWeight in 6048, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.09375 = fieldNorm(doc=6048)
      0.5 = coord(1/2)
  0.5 = coord(2/4)
    Date
    22. 9.2007 15:41:14
    Theme
    Semantic Web
  17. Corby, O.; Dieng, R.; Hébért, C.: ¬A conceptual graph model for W3C resource description framework (2000) 0.05 
    0.05189138 = product of:
  0.10378276 = sum of:
    0.05759195 = weight(_text_:web in 5086) [ClassicSimilarity], result of:
      0.05759195 = score(doc=5086,freq=4.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.35694647 = fieldWeight in 5086, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=5086)
    0.046190813 = weight(_text_:search in 5086) [ClassicSimilarity], result of:
      0.046190813 = score(doc=5086,freq=2.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.2688082 = fieldWeight in 5086, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0546875 = fieldNorm(doc=5086)
  0.5 = coord(2/4)
    Abstract
    With the aim of building a "Semantic Web", the content of the documents must be explicitly represented through metadata in order to enable contents-guided search. Our approach is to exploit a standard language (RDF, recommended by W3C) for expressing such metadata and to interpret these metadata in conceptual graphs (CG) in order to exploit querying and inferencing capabilities enabled by CG formalism. The paper presents our mapping of RDF into CG and its interest in the context of the semantic Web
  18. Peters, I.; Stock, W.G.: Power tags in information retrieval (2010) 0.05 
    0.051431946 = product of:
  0.10286389 = sum of:
    0.029088326 = weight(_text_:web in 865) [ClassicSimilarity], result of:
      0.029088326 = score(doc=865,freq=2.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.18028519 = fieldWeight in 865, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=865)
    0.07377557 = weight(_text_:search in 865) [ClassicSimilarity], result of:
      0.07377557 = score(doc=865,freq=10.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.4293381 = fieldWeight in 865, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=865)
  0.5 = coord(2/4)
    Abstract
    Purpose - Many Web 2.0 services (including Library 2.0 catalogs) make use of folksonomies. The purpose of this paper is to cut off all tags in the long tail of a document-specific tag distribution. The remaining tags at the beginning of a tag distribution are considered power tags and form a new, additional search option in information retrieval systems. Design/methodology/approach - In a theoretical approach the paper discusses document-specific tag distributions (power law and inverse-logistic shape), the development of such distributions (Yule-Simon process and shuffling theory) and introduces search tags (besides the well-known index tags) as a possibility for generating tag distributions. Findings - Search tags are compatible with broad and narrow folksonomies and with all knowledge organization systems (e.g. classification systems and thesauri), while index tags are only applicable in broad folksonomies. Based on these findings, the paper presents a sketch of an algorithm for mining and processing power tags in information retrieval systems. Research limitations/implications - This conceptual approach is in need of empirical evaluation in a concrete retrieval system. Practical implications - Power tags are a new search option for retrieval systems to limit the amount of hits. Originality/value - The paper introduces power tags as a means for enhancing the precision of search results in information retrieval systems that apply folksonomies, e.g. catalogs in Library 2.0environments.
  19. Aldana, J.F.; Gómez, A.C.; Moreno, N.; Nebro, A.J.; Roldán, M.M.: Metadata functionality for semantic Web integration (2003) 0.05 
    0.04716453 = product of:
  0.09432906 = sum of:
    0.057001244 = weight(_text_:web in 2731) [ClassicSimilarity], result of:
      0.057001244 = score(doc=2731,freq=12.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.35328537 = fieldWeight in 2731, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=2731)
    0.03732781 = weight(_text_:search in 2731) [ClassicSimilarity], result of:
      0.03732781 = score(doc=2731,freq=4.0), product of:
        0.17183559 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.049439456 = queryNorm
        0.21722981 = fieldWeight in 2731, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.03125 = fieldNorm(doc=2731)
  0.5 = coord(2/4)
    Abstract
    We propose an extension of a mediator architecture. This extension is oriented to ontology-driven data integration. In our architecture ontologies are not managed by an extemal component or service, but are integrated in the mediation layer. This approach implies rethinking the mediator design, but at the same time provides advantages from a database perspective. Some of these advantages include the application of optimization and evaluation techniques that use and combine information from all abstraction levels (physical schema, logical schema and semantic information defined by ontology). 1. Introduction Although the Web is probably the richest information repository in human history, users cannot specify what they want from it. Two major problems that arise in current search engines (Heflin, 2001) are: a) polysemy, when the same word is used with different meanings; b) synonymy, when two different words have the same meaning. Polysemy causes irrelevant information retrieval. On the other hand, synonymy produces lost of useful documents. The lack of a capability to understand the context of the words and the relationships among required terms, explains many of the lost and false results produced by search engines. The Semantic Web will bring structure to the meaningful content of Web pages, giving semantic relationships among terms and possibly avoiding the previous problems. Various proposals have appeared for meta-data representation and communication standards, and other services and tools that may eventually merge into the global Semantic Web (Berners-lee, 2001). Hopefully, in the next few years we will see the universal adoption of open standards for representation and sharing of meta-information. In this environment, software agents roaming from page to page can readily carry out sophisticated tasks for users (Berners-Lee, 2001). In this context, ontologies can be seen as metadata that represent semantic of data; providing a knowledge domain standard vocabulary, like DTDs and XML Schema do. If its pages were so structured, the Web could be seen as a heterogeneous collection of autonomous databases. This suggests that techniques developed in the Database area could be useful. Database research mainly deals with efficient storage and retrieval and with powerful query languages.
  20. Wolfekuhler, M.R.; Punch, W.F.: Finding salient features for personal Web pages categories (1997) 0.05 
    0.04698986 = product of:
  0.09397972 = sum of:
    0.07053544 = weight(_text_:web in 2673) [ClassicSimilarity], result of:
      0.07053544 = score(doc=2673,freq=6.0), product of:
        0.16134618 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.049439456 = queryNorm
        0.43716836 = fieldWeight in 2673, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2673)
    0.023444273 = product of:
      0.046888545 = sum of:
        0.046888545 = weight(_text_:22 in 2673) [ClassicSimilarity], result of:
          0.046888545 = score(doc=2673,freq=2.0), product of:
            0.17312855 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049439456 = queryNorm
            0.2708308 = fieldWeight in 2673, 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=2673)
      0.5 = coord(1/2)
  0.5 = coord(2/4)
    Abstract
    Examines techniques that discover features in sets of pre-categorized documents, such that similar documents can be found on the WWW. Examines techniques which will classifiy training examples with high accuracy, then explains why this is not necessarily useful. Describes a method for extracting word clusters from the raw document features. Results show that the clustering technique is successful in discovering word groups in personal Web pages which can be used to find similar information on the WWW
    Date
    1. 8.1996 22:08:06
    Footnote
    Contribution to a special issue of papers from the 6th International World Wide Web conference, held 7-11 Apr 1997, Santa Clara, California

Authors

Years

Languages

Types

  • a 212
  • el 34
  • m 17
  • s 14
  • x 3
  • b 2
  • More… Less…

Themes

Subjects

Classifications