Search (3 results, page 1 of 1)

0.016100824 = product of:
  0.032201648 = sum of:
    0.032201648 = product of:
      0.064403296 = sum of:
        0.064403296 = weight(_text_:data in 119) [ClassicSimilarity], result of:
          0.064403296 = score(doc=119,freq=10.0), product of:
            0.16488427 = queryWeight, product of:
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.052144732 = queryNorm
            0.39059696 = fieldWeight in 119, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.0390625 = fieldNorm(doc=119)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

In this book Christian Jacquemin shows how the power of natural language processing (NLP) can be used to advance text indexing and information retrieval (IR). Jacquemin's novel tool is FASTR, a parser that normalizes terms and recognizes term variants. Since there are more meanings in a language than there are words, FASTR uses a metagrammar composed of shallow linguistic transformations that describe the morphological, syntactic, semantic, and pragmatic variations of words and terms. The acquired parsed terms can then be applied for precise retrieval and assembly of information. The use of a corpus-based unification grammar to define, recognize, and combine term variants from their base forms allows for intelligent information access to, or "linguistic data tuning" of, heterogeneous texts. FASTR can be used to do automatic controlled indexing, to carry out content-based Web searches through conceptually related alternative query formulations, to abstract scientific and technical extracts, and even to translate and collect terms from multilingual material. Jacquemin provides a comprehensive account of the method and implementation of this innovative retrieval technique for text processing.

LCSH

Language and languages / Variation / Data processing
Terms and phrases / Data processing

Subject

Language and languages / Variation / Data processing
Terms and phrases / Data processing

0.0088311145 = product of:
  0.017662229 = sum of:
    0.017662229 = product of:
      0.035324458 = sum of:
        0.035324458 = weight(_text_:22 in 767) [ClassicSimilarity], result of:
          0.035324458 = score(doc=767,freq=2.0), product of:
            0.18260197 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.052144732 = queryNorm
            0.19345059 = fieldWeight in 767, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=767)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

22. 3.2008 14:24:08

0.0050403546 = product of:
  0.010080709 = sum of:
    0.010080709 = product of:
      0.020161418 = sum of:
        0.020161418 = weight(_text_:data in 1981) [ClassicSimilarity], result of:
          0.020161418 = score(doc=1981,freq=2.0), product of:
            0.16488427 = queryWeight, product of:
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.052144732 = queryNorm
            0.12227618 = fieldWeight in 1981, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.02734375 = fieldNorm(doc=1981)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Content

Inhalt: Tim Bemers-Lee: The Original Dream - Re-enter Machines - Where Are We Now? - The World Wide Web Consortium - Where Is the Web Going Next? / Dieter Fensel, James Hendler, Henry Lieberman, and Wolfgang Wahlster: Why Is There a Need for the Semantic Web and What Will It Provide? - How the Semantic Web Will Be Possible / Jeff Heflin, James Hendler, and Sean Luke: SHOE: A Blueprint for the Semantic Web / Deborah L. McGuinness, Richard Fikes, Lynn Andrea Stein, and James Hendler: DAML-ONT: An Ontology Language for the Semantic Web / Michel Klein, Jeen Broekstra, Dieter Fensel, Frank van Harmelen, and Ian Horrocks: Ontologies and Schema Languages on the Web / Borys Omelayenko, Monica Crubezy, Dieter Fensel, Richard Benjamins, Bob Wielinga, Enrico Motta, Mark Musen, and Ying Ding: UPML: The Language and Tool Support for Making the Semantic Web Alive / Deborah L. McGuinness: Ontologies Come of Age / Jeen Broekstra, Arjohn Kampman, and Frank van Harmelen: Sesame: An Architecture for Storing and Querying RDF Data and Schema Information / Rob Jasper and Mike Uschold: Enabling Task-Centered Knowledge Support through Semantic Markup / Yolanda Gil: Knowledge Mobility: Semantics for the Web as a White Knight for Knowledge-Based Systems / Sanjeev Thacker, Amit Sheth, and Shuchi Patel: Complex Relationships for the Semantic Web / Alexander Maedche, Steffen Staab, Nenad Stojanovic, Rudi Studer, and York Sure: SEmantic portAL: The SEAL Approach / Ora Lassila and Mark Adler: Semantic Gadgets: Ubiquitous Computing Meets the Semantic Web / Christopher Frye, Mike Plusch, and Henry Lieberman: Static and Dynamic Semantics of the Web / Masahiro Hori: Semantic Annotation for Web Content Adaptation / Austin Tate, Jeff Dalton, John Levine, and Alex Nixon: Task-Achieving Agents on the World Wide Web