Search (4 results, page 1 of 1)

0.016672583 = product of:
  0.033345167 = sum of:
    0.033345167 = product of:
      0.06669033 = sum of:
        0.06669033 = weight(_text_:systems in 672) [ClassicSimilarity], result of:
          0.06669033 = score(doc=672,freq=12.0), product of:
            0.16037072 = queryWeight, product of:
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.052184064 = queryNorm
            0.41585106 = fieldWeight in 672, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.0390625 = fieldNorm(doc=672)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This chapter describes not so much what digital libraries are but what digital libraries with semantic support could and should be. It discusses the nature of Knowledge Organization Systems (KOS) and how KOS can support digital library users. It projects a vision for designers to make and for users to demand better digital libraries. What is a digital library? The term \Digital Library" (DL) is used to refer to a range of systems, from digital object and metadata repositories, reference-linking systems, archives, and content management systems to complex systems that integrate advanced digital library services and support for research and practice communities. A DL may offer many technology-enabled functions and services that support users, both as information producers and as information users. Many of these functions appear in information systems that would not normally be considered digital libraries, making boundaries even more blurry. Instead of pursuing the hopeless quest of coming up with the definition of digital library, we present a framework that allows a clear and somewhat standardized description of any information system so that users can select the system(s) that best meet their requirements. Section 2 gives a broad outline for more detail see the DELOS DL Reference Model.

0.015401474 = product of:
  0.030802948 = sum of:
    0.030802948 = product of:
      0.061605897 = sum of:
        0.061605897 = weight(_text_:systems in 2799) [ClassicSimilarity], result of:
          0.061605897 = score(doc=2799,freq=16.0), product of:
            0.16037072 = queryWeight, product of:
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.052184064 = queryNorm
            0.38414678 = fieldWeight in 2799, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.03125 = fieldNorm(doc=2799)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Grounded on a strong belief that ontologies enhance the performance of information retrieval systems, there has been an upsurge of interest in ontologies. Its importance is identified in diverse research fields such as knowledge engineering, knowledge representation, qualitative modeling, language engineering, database design, information integration, object-oriented analysis, information retrieval and extraction, knowledge management and agent-based systems design (Guarino, 1998). While the role-played by ontologies, automatically lends a place of legitimacy for these tools, research in this area gains greater significance in the wake of various challenges faced in the contemporary digital environment. With the objective of overcoming various pitfalls associated with current search mechanisms, ontologies are increasingly used for developing efficient information retrieval systems. An indicator of research interest in the area of ontology is the Swoogle, a search engine for Semantic Web documents, terms and data found on the Web (Ding, Li et al, 2004). Given the complex nature of the digital content archived in digital libraries, ontologies can be employed for designing efficient forms of information retrieval in digital libraries. Knowledge representation assumes greater significance due to its crucial role in ontology development. These systems aid in developing intelligent information systems, wherein the notion of intelligence implies the ability of the system to find implicit consequences of its explicitly represented knowledge (Baader and Nutt, 2003). Knowledge representation formalisms such as 'Description Logics' are used to obtain explicit knowledge representation of the subject domain. These representations are developed into ontologies, which are used for developing intelligent information systems. Against this backdrop, the paper examines the use of Description Logics for conceptually modeling a chosen domain, which would be utilized for developing domain ontologies. The knowledge representation languages identified for this purpose are Web Ontology Language (OWL) and KArlsruhe ONtology (KAON) language. Drawing upon the various technical constructs in developing ontology-based information systems, the paper explains the working of the prototypes and also presents a comparative study of the two prototypes.

0.009625921 = product of:
  0.019251842 = sum of:
    0.019251842 = product of:
      0.038503684 = sum of:
        0.038503684 = weight(_text_:systems in 3384) [ClassicSimilarity], result of:
          0.038503684 = score(doc=3384,freq=4.0), product of:
            0.16037072 = queryWeight, product of:
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.052184064 = queryNorm
            0.24009174 = fieldWeight in 3384, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3384)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Service-oriented architectures, and the wider acceptance of decentralized peer-to-peer architectures enable the transition from integrated, centrally controlled systems to federated and dynamic configurable systems. The benefits for the individual service providers and users are robustness of the system, independence of central authorities and flexibility in the usage of services. This chapter provides details of the European project BRICKS, which aims at enabling integrated access to distributed resources in the Cultural Heritage domain. The target audience is broad and heterogeneous and involves cultural heritage and educational institutions, the research community, industry, and the general public. The project idea is motivated by the fact that the amount of digital information and digitized content is continuously increasing but still much effort has to be expended to discover and access it. The reasons for such a situation are heterogeneous data formats, restricted access, proprietary access interfaces, etc. Typical usage scenarios are integrated queries among several knowledge resource, e.g. to discover all Italian artifacts from the Renaissance in European museums. Another example is to follow the life cycle of historic documents, whose physical copies are distributed all over Europe. A standard method for integrated access is to place all available content and metadata in a central place. Unfortunately, such a solution requires a quite powerful and costly infrastructure if the volume of data is large. Considerations of cost optimization are highly important for Cultural Heritage institutions, especially if they are funded from public money. Therefore, better usage of the existing resources, i.e. a decentralized/P2P approach promises to deliver a significantly less costly system,and does not mean sacrificing too much on the performance side.

0.0054452433 = product of:
  0.010890487 = sum of:
    0.010890487 = product of:
      0.021780973 = sum of:
        0.021780973 = weight(_text_:systems in 3371) [ClassicSimilarity], result of:
          0.021780973 = score(doc=3371,freq=2.0), product of:
            0.16037072 = queryWeight, product of:
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.052184064 = queryNorm
            0.1358164 = fieldWeight in 3371, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.03125 = fieldNorm(doc=3371)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Libraries have always been an inspiration for the standards and technologies developed by semantic web activities. However, except for the Dublin Core specification, semantic web and social networking technologies have not been widely adopted and further developed by major digital library initiatives and projects. Yet semantic technologies offer a new level of flexibility, interoperability, and relationships for digital repositories. Kruk and McDaniel present semantic web-related aspects of current digital library activities, and introduce their functionality; they show examples ranging from general architectural descriptions to detailed usages of specific ontologies, and thus stimulate the awareness of researchers, engineers, and potential users of those technologies. Their presentation is completed by chapters on existing prototype systems such as JeromeDL, BRICKS, and Greenstone, as well as a look into the possible future of semantic digital libraries. This book is aimed at researchers and graduate students in areas like digital libraries, the semantic web, social networks, and information retrieval. This audience will benefit from detailed descriptions of both today's possibilities and also the shortcomings of applying semantic web technologies to large digital repositories of often unstructured data.