Search (395 results, page 1 of 20)

  • × theme_ss:"Metadaten"
  1. Kopácsi, S. et al.: Development of a classification server to support metadata harmonization in a long term preservation system (2016) 0.02 
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    Series
    Communications in computer and information science; 672
    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  2. Franklin, R.A.: Re-inventing subject access for the semantic web (2003) 0.02 
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    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
    Source
    Online information review. 27(2003) no.2, S.94-101
  3. Kent, R.E.: Organizing conceptual knowledge online : metadata interoperability and faceted classification (1998) 0.02 
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    Abstract
    Conceptual Knowledge Markup Language (CKML), an application of XML, is a new standard being promoted for the specification of online conceptual knowledge (Kent and Shrivastava, 1998). CKML follows the philosophy of Conceptual Knowledge Processing (Wille, 1982), a principled approach to knowledge representation and data analysis, which advocates the development of methodologies and techniques to support people in their rational thinking, judgement and actions. CKML was developed and is being used in the WAVE networked information discovery and retrieval system (Kent and Neuss, 1994) as a standard for the specification of conceptual knowledge
    Date
    30.12.2001 16:22:41
    Theme
    Klassifikationssysteme im Online-Retrieval
  4. Renear, A.H.; Wickett, K.M.; Urban, R.J.; Dubin, D.; Shreeves, S.L.: Collection/item metadata relationships (2008) 0.02 
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    Abstract
    Contemporary retrieval systems, which search across collections, usually ignore collection-level metadata. Alternative approaches, exploiting collection-level information, will require an understanding of the various kinds of relationships that can obtain between collection-level and item-level metadata. This paper outlines the problem and describes a project that is developing a logic-based framework for classifying collection/item metadata relationships. This framework will support (i) metadata specification developers defining metadata elements, (ii) metadata creators describing objects, and (iii) system designers implementing systems that take advantage of collection-level metadata. We present three examples of collection/item metadata relationship categories, attribute/value-propagation, value-propagation, and value-constraint and show that even in these simple cases a precise formulation requires modal notions in addition to first-order logic. These formulations are related to recent work in information retrieval and ontology evaluation.
    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
  5. Wu, C.-J.: Experiments on using the Dublin Core to reduce the retrieval error ratio (1998) 0.01 
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    Abstract
    In order to test the power of metadata on information retrieval, an experiment was designed and conducted on a group of 7 graduate students using the Dublin Core as the cataloguing metadata. Results show that, on average, the retrieval error rate is only 2.9 per cent for the MES system (http://140.136.85.194), which utilizes the Dublin Core to describe the documents on the World Wide Web, in contrast to 20.7 per cent for the 7 famous search engines including HOTBOT, GAIS, LYCOS, EXCITE, INFOSEEK, YAHOO, and OCTOPUS. The very low error rate indicates that the users can use the information of the Dublin Core to decide whether to retrieve the documents or not
    Source
    Journal of library and information science. 24(1998) no.1, S.50-64
  6. Heidorn, P.B.; Wei, Q.: Automatic metadata extraction from museum specimen labels (2008) 0.01 
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    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
  7. Cortez, E.M.: Use of metadata vocabularies in data retrieval (1999) 0.01 
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    Abstract
    Researchers have developed a prototype of a system that uses metadata to guide their user in selecting document databases of interest. A standardized vocabulary is used to index the document sets and is also used to locate databases. Once a database is located, then freeform searches are aided by the metadata vocabulary to locate specific documents. This system, the Research, Education, Economic Information System (REEIS), is being developed fot the USDA to provide a way to locate programs, projects, and research that focus on food, agriculture, natural resources and rural development
    Source
    Journal of the American Society for Information Science. 50(1999) no.13, S.1218-1223
  8. Peereboom, M.: DutchESS : Dutch Electronic Subject Service - a Dutch national collaborative effort (2000) 0.01 
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    Abstract
    This article gives an overview of the design and organisation of DutchESS, a Dutch information subject gateway created as a national collaborative effort of the National Library and a number of academic libraries. The combined centralised and distributed model of DutchESS is discussed, as well as its selection policy, its metadata format, classification scheme and retrieval options. Also some options for future collaboration on an international level are explored
    Date
    22. 6.2002 19:39:23
    Source
    Online information review. 24(2000) no.1, S.46-48
    Theme
    Information Gateway
    Klassifikationssysteme im Online-Retrieval
  9. Wu, C.-J.: Metadata and future developments in cataloguing (1997) 0.01 
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    Abstract
    Metadata is a resource which can assist the information retrieval of digital documents on the Internet. In designing a metadata system, it is necessary to consider the characteristics of digital documents, such as the variety of file formats, frequent format transformation and the difficulty of distinguishing between the different versions. Provides a brief analysis of some existing metadata formats, and introduces several pronciples for the future development of cataloguing on the Internet. Briefly describes the Metadata Experimental System (MES) currently under development, and located at the author's homepage
    Source
    Journal of information; communication; and library science. 4(1997) no.2, S.42-52
  10. Schaefer, M.T.: Demystifying metadata : initiatives for web document description (1998) 0.01 
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    Abstract
    Examines international efforts to promote metadata as a common, interactive resource description tool for the Internet. These efforts centre on the Dublin Core Element Set, but include qualifiers such as those promoted by the Canberra Qualifiers. The LoC Network Development and MARC Standards Office maintains the Dublin Core / MARC / GILS (Government Information Location Standards) crosswalk which maps the common and correlative elements of each system. Describes current international initiatives and issues. Describes the Nordic metadata project which is aiming to create the basic elements of a metadata production and utilization system based on the Dublin Core Metadata Element Set. Describes the WWW consortium efforts in this area
    Source
    Information retrieval and library automation. 33(1998) no.11, S.1-5
  11. Peters, I.; Stock, W.G.: Power tags in information retrieval (2010) 0.01 
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    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.
  12. Gardner, T.; Iannella, R.: Architecture and software solutions (2000) 0.01 
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    Abstract
    The current subject gateways have evolved over time when the discipline of Internet resource discovery was in its infancy. This is reflected by the lack of well-established, light-weight, deployable, easy-to-use, standards for metadata and information retrieval. We provide an introduction to the architecture, standards and software solutions in use by subject gateways, and to the issues that must be addressed to support future subject gateways
    Date
    22. 6.2002 19:38:24
    Source
    Online information review. 24(2000) no.1, S.35-39
    Theme
    Information Gateway
  13. Brasethvik, T.: ¬A semantic modeling approach to metadata (1998) 0.01 
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    Abstract
    States that heterogeneous project groups today may be expected to use the mechanisms of the Web for sharing information. Metadata has been proposed as a mechanism for expressing the semantics of information and, hence, facilitate information retrieval, understanding and use. Presents an approach to sharing information which aims to use a semantic modeling language as the basis for expressing the semantics of information and designing metadata schemes. Functioning on the borderline between human and computer understandability, the modeling language would be able to express the semantics of published Web documents. Reporting on work in progress, presents the overall framework and ideas
    Date
    9. 9.2000 17:22:23
  14. Jun, W.: ¬A knowledge network constructed by integrating classification, thesaurus and metadata in a digital library (2003) 0.01 
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    Abstract
    Knowledge management in digital libraries is a universal problem. Keyword-based searching is applied everywhere no matter whether the resources are indexed databases or full-text Web pages. In keyword matching, the valuable content description and indexing of the metadata, such as the subject descriptors and the classification notations, are merely treated as common keywords to be matched with the user query. Without the support of vocabulary control tools, such as classification systems and thesauri, the intelligent labor of content analysis, description and indexing in metadata production are seriously wasted. New retrieval paradigms are needed to exploit the potential of the metadata resources. Could classification and thesauri, which contain the condensed intelligence of generations of librarians, be used in a digital library to organize the networked information, especially metadata, to facilitate their usability and change the digital library into a knowledge management environment? To examine that question, we designed and implemented a new paradigm that incorporates a classification system, a thesaurus and metadata. The classification and the thesaurus are merged into a concept network, and the metadata are distributed into the nodes of the concept network according to their subjects. The abstract concept node instantiated with the related metadata records becomes a knowledge node. A coherent and consistent knowledge network is thus formed. It is not only a framework for resource organization but also a structure for knowledge navigation, retrieval and learning. We have built an experimental system based on the Chinese Classification and Thesaurus, which is the most comprehensive and authoritative in China, and we have incorporated more than 5000 bibliographic records in the computing domain from the Peking University Library. The result is encouraging. In this article, we review the tools, the architecture and the implementation of our experimental system, which is called Vision.
    Source
    Bulletin of the American Society for Information Science. 29(2003) no.2, S.24-28
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  15. Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016) 0.01 
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    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.
    Series
    Communications in computer and information science; 672
  16. Cheung, W.; Hsu, C.: ¬The model-assisted global query system for multiple databases in distributed enterprises (1996) 0.01 
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    Abstract
    Today's enterprises employ multiple information systems which are independently developed, locally administered, and are different in logical or physical design. To share information across organisational boundaries requires a global query system capable of providing online intelligent assistance to users. Conventional technologies such as schema based query languages and hard coded schema integration are insufficient. Develops a model assisted global query system using an online repository of enterprise metadata, the metadatabase, for global query formulation and processing with adaptiveness and open systems architecture. Presents a definition model for the metadata as a knowledge system. Analyzes the improvements of the new system in relation to the old. Tests a prototype system in a computer integrated manufacturing setting
    Source
    ACM transactions on information systems. 14(1996) no.4, S.421-470
  17. Liu, X.; Qin, J.: ¬An interactive metadata model for structural, descriptive, and referential representation of scholarly output (2014) 0.01 
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    Abstract
    The scientific metadata model proposed in this article encompasses both classical descriptive metadata such as those defined in the Dublin Core Metadata Element Set (DC) and the innovative structural and referential metadata properties that go beyond the classical model. Structural metadata capture the structural vocabulary in research publications; referential metadata include not only citations but also data about other types of scholarly output that is based on or related to the same publication. The article describes the structural, descriptive, and referential (SDR) elements of the metadata model and explains the underlying assumptions and justifications for each major component in the model. ScholarWiki, an experimental system developed as a proof of concept, was built over the wiki platform to allow user interaction with the metadata and the editing, deleting, and adding of metadata. By allowing and encouraging scholars (both as authors and as users) to participate in the knowledge and metadata editing and enhancing process, the larger community will benefit from more accurate and effective information retrieval. The ScholarWiki system utilizes machine-learning techniques that can automatically produce self-enhanced metadata by learning from the structural metadata that scholars contribute, which will add intelligence to enhance and update automatically the publication of metadata Wiki pages.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.5, S.964-983
  18. NISO seeking comments : metadata for still images (2001) 0.01 
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    Source
    Information retrieval and library automation. 36(2001) no.10, S.11
  19. Hakala, J.: Dublin core in 1997 : a report from Dublin Core metadata workshops 4 & 5 (1998) 0.01 
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    Abstract
    Creation of more and better metadata, or resource descriptions, is the best means to solve the problems of massive recall and lack of precision associated with Internet information retrieval. Dublin Core Metadata workshops aim to develop the resource descriptions. Describes the 4th workshop held in Canberra March 1997 and the 5th held in Oct. 1997 in Helsinki. DC-4 dealt with element structure with qualifiers language, scheme and type; extensibility issues; and element refinement. DC-5 dealt with element refinement and stability; definition of sub-elements and resource types; and sharing of Dublin Core implementation experiences, one of which is the Nordic Metadata project. The Nordic countries are now well prepared to implement useful new tools built by the Internet metadata community
    Source
    Nordinfo Nytt. 1997, nos.3/4, S.10-22
  20. Haynes, D.: Metadata for information management and retrieval : understanding metadata and its use (2018) 0.01 
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    Abstract
    This new and updated second edition of a classic text provides a thought-provoking introduction to metadata for all library and information students and professionals. Metadata for Information Management and Retrieval has been fully revised by David Haynes to bring it up to date with new technology and standards. The new edition, containing new chapters on Metadata Standards and Encoding Schemes, assesses the current theory and practice of metadata and examines key developments in terms of both policy and technology. Coverage includes: an introduction to the concept of metadata a description of the main components of metadata systems and standards an overview of the scope of metadata and its applications a description of typical information retrieval issues in corporate and research environments a demonstration of ways in which metadata is used to improve retrieval a look at ways in which metadata is used to manage information consideration of the role of metadata in information governance.
    RSWK
    Informationsmanagement / Information Retrieval / Metadatenmodell
    Subject
    Informationsmanagement / Information Retrieval / Metadatenmodell

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