Search (3 results, page 1 of 1)

0.01501677 = product of:
  0.03003354 = sum of:
    0.03003354 = product of:
      0.06006708 = sum of:
        0.06006708 = weight(_text_:web in 3336) [ClassicSimilarity], result of:
          0.06006708 = score(doc=3336,freq=12.0), product of:
            0.17002425 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.052098576 = queryNorm
            0.35328537 = fieldWeight in 3336, 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=3336)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This book shows you how to harness the power of linked data and web-scale discovery systems to manage and link widely varied content across your library collection. Libraries are increasingly using web-scale discovery systems to help clients find a wide assortment of library materials, including books, journal articles, special collections, archival collections, videos, music and open access collections. Depending on the library material catalogued, the discovery system might need to negotiate different metadata standards, such as AACR, RDA, RAD, FOAF, VRA Core, METS, MODS, RDF and more. In Managing Metadata in Web-Scale Discovery Systems, editor Louise Spiteri and a range of international experts show you how to: * maximize the effectiveness of web-scale discovery systems * provide a smooth and seamless discovery experience to your users * help users conduct searches that yield relevant results * manage the sheer volume of items to which you can provide access, so your users can actually find what they need * maintain shared records that reflect the needs, languages, and identities of culturally and ethnically varied communities * manage metadata both within, across, and outside, library discovery tools by converting your library metadata to linked open data that all systems can access * manage user generated metadata from external services such as Goodreads and LibraryThing * mine user generated metadata to better serve your users in areas such as collection development or readers' advisory. The book will be essential reading for cataloguers, technical services and systems librarians and library and information science students studying modules on metadata, cataloguing, systems design, data management, and digital libraries. The book will also be of interest to those managing metadata in archives, museums and other cultural heritage institutions.

Content

1. Introduction: the landscape of web-scale discovery - Louise Spiteri 2. Sharing metadata across discovery systems - Marshall Breeding, Angela Kroeger and Heather Moulaison Sandy 3. Managing linked open data across discovery systems - Ali Shiri and Danoosh Davoodi 4. Redefining library resources in discovery systems - Christine DeZelar-Tiedman 5. Managing volume in discovery systems - Aaron Tay 6. Managing outsourced metadata in discovery systems - Laurel Tarulli 7. Managing user-generated metadata in discovery systems - Louise Spiteri

0.01061846 = product of:
  0.02123692 = sum of:
    0.02123692 = product of:
      0.04247384 = sum of:
        0.04247384 = weight(_text_:web in 3800) [ClassicSimilarity], result of:
          0.04247384 = score(doc=3800,freq=6.0), product of:
            0.17002425 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.052098576 = queryNorm
            0.24981049 = fieldWeight in 3800, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03125 = fieldNorm(doc=3800)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Content

Introduction -- Definitions -- Descriptive metadata -- Administrative metadata -- Use metadata -- Enabling technologies for metadata -- The Semantic Web -- The future of metadata.

RSWK

Metadaten / Semantic Web / Metadatenmodell

Subject

Metadaten / Semantic Web / Metadatenmodell

0.01061846 = product of:
  0.02123692 = sum of:
    0.02123692 = product of:
      0.04247384 = sum of:
        0.04247384 = weight(_text_:web in 5134) [ClassicSimilarity], result of:
          0.04247384 = score(doc=5134,freq=6.0), product of:
            0.17002425 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.052098576 = queryNorm
            0.24981049 = fieldWeight in 5134, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03125 = fieldNorm(doc=5134)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

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.