Search (6 results, page 1 of 1)

0.012261091 = product of:
  0.07356654 = sum of:
    0.07356654 = sum of:
      0.041830957 = weight(_text_:methods in 3197) [ClassicSimilarity], result of:
        0.041830957 = score(doc=3197,freq=2.0), product of:
          0.15695344 = queryWeight, product of:
            4.0204134 = idf(docFreq=2156, maxDocs=44218)
            0.03903913 = queryNorm
          0.26651827 = fieldWeight in 3197, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.0204134 = idf(docFreq=2156, maxDocs=44218)
            0.046875 = fieldNorm(doc=3197)
      0.03173558 = weight(_text_:22 in 3197) [ClassicSimilarity], result of:
        0.03173558 = score(doc=3197,freq=2.0), product of:
          0.1367084 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03903913 = queryNorm
          0.23214069 = fieldWeight in 3197, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=3197)
  0.16666667 = coord(1/6)

Abstract

Indexing consists of both novel and more traditional techniques. Cutting-edge indexing techniques, such as automatic indexing, ontologies, and topic maps, were developed independently of older techniques such as thesauri, but it is now recognized that these older methods also hold expertise. Indexing describes various traditional and novel indexing techniques, giving information professionals and students of library and information sciences a broad and comprehensible introduction to indexing. This title consists of twelve chapters: an Introduction to subject readings and theasauri; Automatic indexing versus manual indexing; Techniques applied in automatic indexing of text material; Automatic indexing of images; The black art of indexing moving images; Automatic indexing of music; Taxonomies and ontologies; Metadata formats and indexing; Tagging; Topic maps; Indexing the web; and The Semantic Web.

Date

24. 8.2016 14:03:22

0.009944773 = product of:
  0.059668638 = sum of:
    0.059668638 = product of:
      0.119337276 = sum of:
        0.119337276 = weight(_text_:theory in 2424) [ClassicSimilarity], result of:
          0.119337276 = score(doc=2424,freq=8.0), product of:
            0.16234003 = queryWeight, product of:
              4.1583924 = idf(docFreq=1878, maxDocs=44218)
              0.03903913 = queryNorm
            0.7351069 = fieldWeight in 2424, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              4.1583924 = idf(docFreq=1878, maxDocs=44218)
              0.0625 = fieldNorm(doc=2424)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)

LCSH

Control theory
System theory

Subject

Control theory
System theory

0.005274012 = product of:
  0.031644072 = sum of:
    0.031644072 = product of:
      0.063288145 = sum of:
        0.063288145 = weight(_text_:theory in 3714) [ClassicSimilarity], result of:
          0.063288145 = score(doc=3714,freq=4.0), product of:
            0.16234003 = queryWeight, product of:
              4.1583924 = idf(docFreq=1878, maxDocs=44218)
              0.03903913 = queryNorm
            0.3898493 = fieldWeight in 3714, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.1583924 = idf(docFreq=1878, maxDocs=44218)
              0.046875 = fieldNorm(doc=3714)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)

LCSH

Information theory

Subject

Information theory

0.0023239423 = product of:
  0.013943653 = sum of:
    0.013943653 = product of:
      0.027887305 = sum of:
        0.027887305 = weight(_text_:methods in 1171) [ClassicSimilarity], result of:
          0.027887305 = score(doc=1171,freq=2.0), product of:
            0.15695344 = queryWeight, product of:
              4.0204134 = idf(docFreq=2156, maxDocs=44218)
              0.03903913 = queryNorm
            0.17767884 = fieldWeight in 1171, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.0204134 = idf(docFreq=2156, maxDocs=44218)
              0.03125 = fieldNorm(doc=1171)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)

Abstract

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Opinion Mining and Sentiment Analysis covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. The focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. The survey includes an enumeration of the various applications, a look at general challenges and discusses categorization, extraction and summarization. Finally, it moves beyond just the technical issues, devoting significant attention to the broader implications that the development of opinion-oriented information-access services have: questions of privacy, vulnerability to manipulation, and whether or not reviews can have measurable economic impact. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. Opinion Mining and Sentiment Analysis is the first such comprehensive survey of this vibrant and important research area and will be of interest to anyone with an interest in opinion-oriented information-seeking systems.

0.0023239423 = product of:
  0.013943653 = sum of:
    0.013943653 = product of:
      0.027887305 = sum of:
        0.027887305 = weight(_text_:methods in 5329) [ClassicSimilarity], result of:
          0.027887305 = score(doc=5329,freq=2.0), product of:
            0.15695344 = queryWeight, product of:
              4.0204134 = idf(docFreq=2156, maxDocs=44218)
              0.03903913 = queryNorm
            0.17767884 = fieldWeight in 5329, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.0204134 = idf(docFreq=2156, maxDocs=44218)
              0.03125 = fieldNorm(doc=5329)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)

Abstract

This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking. To this end, Chapter 1 introduces the main concepts of the Semantic Web and Linked Data and provides a roadmap for the book. Next, Chapter 2 briefly presents the basic concepts underpinning Linked Data technologies that are discussed in the book. Chapter 3 then offers an overview of various techniques and systems for centrally querying RDF datasets, and Chapter 4 outlines various techniques and systems for efficiently querying large RDF datasets in distributed environments. Subsequently, Chapter 5 explores how streaming requirements are addressed in current, state-of-the-art RDF stream data processing. Chapter 6 covers performance and scaling issues of distributed RDF reasoning systems, while Chapter 7 details benchmarks for RDF query engines and instance matching systems. Chapter 8 addresses the provenance management for Linked Data and presents the different provenance models developed. Lastly, Chapter 9 offers a brief summary, highlighting and providing insights into some of the open challenges and research directions. Providing an updated overview of methods, technologies and systems related to Linked Data this book is mainly intended for students and researchers who are interested in the Linked Data domain. It enables students to gain an understanding of the foundations and underpinning technologies and standards for Linked Data, while researchers benefit from the in-depth coverage of the emerging and ongoing advances in Linked Data storing, querying, reasoning, and provenance management systems. Further, it serves as a starting point to tackle the next research challenges in the domain of Linked Data management.

0.0022038599 = product of:
  0.013223159 = sum of:
    0.013223159 = product of:
      0.026446318 = sum of:
        0.026446318 = weight(_text_:22 in 4295) [ClassicSimilarity], result of:
          0.026446318 = score(doc=4295,freq=2.0), product of:
            0.1367084 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03903913 = queryNorm
            0.19345059 = fieldWeight in 4295, 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=4295)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)

Date

18. 6.2018 19:22:02