Search (2 results, page 1 of 1)

0.0028703054 = product of:
  0.005740611 = sum of:
    0.005740611 = product of:
      0.011481222 = sum of:
        0.011481222 = weight(_text_:a in 3605) [ClassicSimilarity], result of:
          0.011481222 = score(doc=3605,freq=16.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.2161963 = fieldWeight in 3605, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=3605)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Clearinghouses - or subject gateways - are domain-specific collections of links to resources an the Internet. The links are described with metadata and structured according to a domain-specific subject hierarchy. Users access the information by searching in the metadata or by browsing the subject hierarchy. The standards for metadata vary across existing Clearinghouses and different technologies for storing and accessing the metadata are used. This makes it difficult to distribute the editorial or administrative work involved in maintaining a clearinghouse, or to exchange information with other systems. DBClear is a generic, platform-independent clearinghouse system, whose metadata schema can be adapted to different standards. The data is stored in a relational database. It includes a workflow component to Support distributed maintenance and automation modules for link checking and metadata extraction. The presentation of the clearinghouse an the Web can be modified to allow seamless integration into existing web sites.

Source

Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase

Type

a

0.0014351527 = product of:
  0.0028703054 = sum of:
    0.0028703054 = product of:
      0.005740611 = sum of:
        0.005740611 = weight(_text_:a in 3393) [ClassicSimilarity], result of:
          0.005740611 = score(doc=3393,freq=4.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.10809815 = fieldWeight in 3393, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=3393)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Digital Libraries currently face the challenge of integrating many different types of research information (e.g. publications, primary data, expert's profiles, institutional profiles, project information etc.) according to their scientific users' needs. To date no general, integrated model for knowledge organization and retrieval in Digital Libraries exists. This causes the problem of structural and semantic heterogeneity due to the wide range of metadata standards, indexing vocabularies and indexing approaches used for different types of information. The research presented in this paper focuses on areas in which activities are being undertaken in the field of Digital Libraries in order to treat semantic interoperability problems. We present a model for the integrated retrieval of factual and textual data which combines multiple approaches to semantic interoperability und sets them into context. Embedded in the research cycle, traditional content indexing methods for publications meet the newer, but rarely used ontology-based approaches which seem to be better suited for representing complex information like the one contained in survey data. The benefits of our model are (1) easy re-use of available knowledge organisation systems and (2) reduced efforts for domain modelling with ontologies.

Type

a