Search (3 results, page 1 of 1)

0.028321933 = product of:
  0.056643866 = sum of:
    0.056643866 = sum of:
      0.03726713 = weight(_text_:light in 69) [ClassicSimilarity], result of:
        0.03726713 = score(doc=69,freq=2.0), product of:
          0.2920221 = queryWeight, product of:
            5.7753086 = idf(docFreq=372, maxDocs=44218)
            0.050563898 = queryNorm
          0.1276175 = fieldWeight in 69, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            5.7753086 = idf(docFreq=372, maxDocs=44218)
            0.015625 = fieldNorm(doc=69)
      0.019376736 = weight(_text_:22 in 69) [ClassicSimilarity], result of:
        0.019376736 = score(doc=69,freq=4.0), product of:
          0.17706616 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.050563898 = queryNorm
          0.109432176 = fieldWeight in 69, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.015625 = fieldNorm(doc=69)
  0.5 = coord(1/2)

Classification

327.12 22

DDC

327.12 22

Footnote

Rez. in: JASIST 58(2007) no.2, S.303-305 (L. Hayden): "Part history and part call to action, Covert and Overt examines the relationship between the disciplines of intelligence service and information science. The book is significant in that it captures both the rich history of partnership between the fields, and because it demonstrates clearly the incomplete nature of our understanding of that partnership. In the post-9/11 world, such understanding is increasingly important, as we struggle with the problem of transforming information into intelligence and intelligence into effective policy. Information science has an important role to play in meeting these challenges, but the sometimesambiguous nature of the field combined with similar uncertainties over what constitutes intelligence, makes any attempt at definitive answers problematic. The book is a collection of works from different contributors, in the words of one editor "not so much a created work as an aggregation" (p. 1). More than just an edited collection of papers, the book draws from the personal experiences of several prominent information scientists who also served as intelligence professionals from World War II onward. The result is a book that feels very personal and at times impassioned. The contributors attempt to shed light on an often-closed community of practice, a discipline that depends simultaneously on access to information and on secrecy. Intelligence, like information science, is also a discipline that finds itself increasingly attracted to and dependent upon technology, and an underlying question of the book is where and how technology benefits intelligence (as opposed to only masking more fundamental problems of process and analysis and providing little or no actual value).

0.018633565 = product of:
  0.03726713 = sum of:
    0.03726713 = product of:
      0.07453426 = sum of:
        0.07453426 = weight(_text_:light in 3701) [ClassicSimilarity], result of:
          0.07453426 = score(doc=3701,freq=2.0), product of:
            0.2920221 = queryWeight, product of:
              5.7753086 = idf(docFreq=372, maxDocs=44218)
              0.050563898 = queryNorm
            0.255235 = fieldWeight in 3701, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.7753086 = idf(docFreq=372, maxDocs=44218)
              0.03125 = fieldNorm(doc=3701)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Emerging as a discipline in the first half of the twentieth century, the information sciences study how people, groups, organizations, and governments create, share, disseminate, manage, search, access, evaluate, and protect information, as well as how different technologies and policies can facilitate and constrain these activities. Given the broad span of the information sciences, it is perhaps not surprising that there is no consensus regarding its underlying theory the purposes of it, the types of it, or how one goes about developing new theories to talk about new research questions. Diane H. Sonnenwald and the contributors to this volume seek to shed light on these issues by sharing reflections on the theory-development process. These reflections are not meant to revolve around data collection and analysis; rather, they focus on the struggles, challenges, successes, and excitement of developing theories. The particular theories that the contributors explore in their essays range widely, from theories of literacy and reading to theories of design and digital search. Several chapters engage with theories of the behavior of individuals and groups; some deal with processes of evaluation; others reflect on questions of design; and the rest treat cultural and scientific heritage. The ultimate goal, Sonnenwald writes in her introduction, is to "encourage, inspire, and assist individuals striving to develop and/or teach theory development.""

0.0068507106 = product of:
  0.013701421 = sum of:
    0.013701421 = product of:
      0.027402842 = sum of:
        0.027402842 = weight(_text_:22 in 566) [ClassicSimilarity], result of:
          0.027402842 = score(doc=566,freq=2.0), product of:
            0.17706616 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050563898 = queryNorm
            0.15476047 = fieldWeight in 566, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=566)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Content

Section 1 Context and purpose of knowledge architecture -- 1 Making the case for knowledge architecture -- 2 The landscape of knowledge assets -- 3 Knowledge architecture and design -- 4 Knowledge architecture reference model -- 5 Knowledge architecture segments -- Section 2 Designing for availability -- 6 Knowledge object modeling -- 7 Knowledge structures for encoding, formatting, and packaging -- 8 Functional architecture for identification and distinction -- 9 Functional architectures for knowledge asset disposition and destruction -- 10 Functional architecture designs for knowledge preservation and conservation -- Section 3 Designing for accessibility -- 11 Functional architectures for knowledge seeking and discovery -- 12 Functional architecture for knowledge search -- 13 Functional architecture for knowledge categorization -- 14 Functional architectures for indexing and keywording -- 15 Functional architecture for knowledge semantics -- 16 Functional architecture for knowledge abstraction and surrogation -- Section 4 Functional architectures to support knowledge consumption -- 17 Functional architecture for knowledge augmentation, derivation, and synthesis -- 18 Functional architecture to manage risk and harm -- 19 Functional architectures for knowledge authentication and provenance -- 20 Functional architectures for securing knowledge assets -- 21 Functional architectures for authorization and asset management -- Section 5 Pulling it all together - the big picture knowledge architecture -- 22 Functional architecture for knowledge metadata and metainformation -- 23 The whole knowledge architecture - pulling it all together