Search (21 results, page 1 of 2)

0.01915756 = product of:
  0.0957878 = sum of:
    0.0957878 = weight(_text_:link in 3156) [ClassicSimilarity], result of:
      0.0957878 = score(doc=3156,freq=2.0), product of:
        0.2711644 = queryWeight, product of:
          5.3287 = idf(docFreq=582, maxDocs=44218)
          0.05088753 = queryNorm
        0.35324624 = fieldWeight in 3156, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.3287 = idf(docFreq=582, maxDocs=44218)
          0.046875 = fieldNorm(doc=3156)
  0.2 = coord(1/5)

Abstract

Gaining a rapid overview of an emerging scientific topic, sometimes called research fronts, is an increasingly common task due to the growing amount of interdisciplinary collaboration. Visual overviews that show temporal patterns of paper publication and citation links among papers can help researchers and analysts to see the rate of growth of topics, identify key papers, and understand influences across subdisciplines. This article applies a novel network-visualization tool based on meaningful layouts of nodes to present research fronts and show citation links that indicate influences across research fronts. To demonstrate the value of two-dimensional layouts with multiple regions and user control of link visibility, we conducted a design-oriented, preliminary case study with 6 domain experts over a 4-month period. The main benefits were being able (a) to easily identify key papers and see the increasing number of papers within a research front, and (b) to quickly see the strength and direction of influence across related research fronts.

0.018061921 = product of:
  0.090309605 = sum of:
    0.090309605 = weight(_text_:link in 1797) [ClassicSimilarity], result of:
      0.090309605 = score(doc=1797,freq=4.0), product of:
        0.2711644 = queryWeight, product of:
          5.3287 = idf(docFreq=582, maxDocs=44218)
          0.05088753 = queryNorm
        0.33304375 = fieldWeight in 1797, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          5.3287 = idf(docFreq=582, maxDocs=44218)
          0.03125 = fieldNorm(doc=1797)
  0.2 = coord(1/5)

Abstract

Purpose - The authors introduce two semantics-based navigation applications that facilitate information-seeking activities in internal link-based web sites in Wikipedia. These applications aim to help users find concepts within a topic and related articles on a given topic quickly and then gain topical knowledge from internal link-based encyclopedia web sites. The paper aims to discuss these issues. Design/methodology/approach - The WNavis application consists of three information visualization (IV) tools which are a topic network, a hierarchy topic tree and summaries for topics. The WikiMap application consists of a topic network. The goal of the topic network and topic tree tools is to help users to find the major concepts of a topic and identify relationships between these major concepts easily. In addition, in order to locate specific information and enable users to explore and read topic-related articles quickly, the topic tree and summaries for topics tools support users to gain topical knowledge quickly. The authors then apply the k-clique of cohesive indicator to analyze the sub topics of the seed query and find out the best clustering results via the cosine measure. The authors utilize four metrics, which are correctness, time cost, usage behaviors, and satisfaction, to evaluate the three interfaces. These metrics measure both the outputs and outcomes of applications. As a baseline system for evaluation the authors used a traditional Wikipedia interface. For the evaluation, the authors used an experimental user study with 30 participants.

0.013789116 = product of:
  0.06894558 = sum of:
    0.06894558 = weight(_text_:22 in 3406) [ClassicSimilarity], result of:
      0.06894558 = score(doc=3406,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.38690117 = fieldWeight in 3406, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.078125 = fieldNorm(doc=3406)
  0.2 = coord(1/5)

Date

30. 5.2010 16:22:35

0.013789116 = product of:
  0.06894558 = sum of:
    0.06894558 = weight(_text_:22 in 2755) [ClassicSimilarity], result of:
      0.06894558 = score(doc=2755,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.38690117 = fieldWeight in 2755, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.078125 = fieldNorm(doc=2755)
  0.2 = coord(1/5)

Date

1. 2.2016 18:25:22

0.012771706 = product of:
  0.06385853 = sum of:
    0.06385853 = weight(_text_:link in 4746) [ClassicSimilarity], result of:
      0.06385853 = score(doc=4746,freq=2.0), product of:
        0.2711644 = queryWeight, product of:
          5.3287 = idf(docFreq=582, maxDocs=44218)
          0.05088753 = queryNorm
        0.23549749 = fieldWeight in 4746, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.3287 = idf(docFreq=582, maxDocs=44218)
          0.03125 = fieldNorm(doc=4746)
  0.2 = coord(1/5)

Abstract

Many real-world domains can be represented as large node-link graphs: backbone Internet routers connect with 70,000 other hosts, mid-sized Web servers handle between 20,000 and 200,000 hyperlinked documents, and dictionaries contain millions of words defined in terms of each other. Computational manipulation of such large graphs is common, but previous tools for graph visualization have been limited to datasets of a few thousand nodes. Visual depictions of graphs and networks are external representations that exploit human visual processing to reduce the cognitive load of many tasks that require understanding of global or local structure. We assert that the two key advantages of computer-based systems for information visualization over traditional paper-based visual exposition are interactivity and scalability. We also argue that designing visualization software by taking the characteristics of a target user's task domain into account leads to systems that are more effective and scale to larger datasets than previous work. This thesis contains a detailed analysis of three specialized systems for the interactive exploration of large graphs, relating the intended tasks to the spatial layout and visual encoding choices. We present two novel algorithms for specialized layout and drawing that use quite different visual metaphors. The H3 system for visualizing the hyperlink structures of web sites scales to datasets of over 100,000 nodes by using a carefully chosen spanning tree as the layout backbone, 3D hyperbolic geometry for a Focus+Context view, and provides a fluid interactive experience through guaranteed frame rate drawing. The Constellation system features a highly specialized 2D layout intended to spatially encode domain-specific information for computational linguists checking the plausibility of a large semantic network created from dictionaries. The Planet Multicast system for displaying the tunnel topology of the Internet's multicast backbone provides a literal 3D geographic layout of arcs on a globe to help MBone maintainers find misconfigured long-distance tunnels. Each of these three systems provides a very different view of the graph structure, and we evaluate their efficacy for the intended task. We generalize these findings in our analysis of the importance of interactivity and specialization for graph visualization systems that are effective and scalable.

0.011700453 = product of:
  0.058502264 = sum of:
    0.058502264 = weight(_text_:22 in 3355) [ClassicSimilarity], result of:
      0.058502264 = score(doc=3355,freq=4.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.32829654 = fieldWeight in 3355, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.046875 = fieldNorm(doc=3355)
  0.2 = coord(1/5)

Date

22. 1.2017 16:54:03
22. 1.2017 17:10:56

0.011175244 = product of:
  0.055876218 = sum of:
    0.055876218 = weight(_text_:link in 4276) [ClassicSimilarity], result of:
      0.055876218 = score(doc=4276,freq=2.0), product of:
        0.2711644 = queryWeight, product of:
          5.3287 = idf(docFreq=582, maxDocs=44218)
          0.05088753 = queryNorm
        0.2060603 = fieldWeight in 4276, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.3287 = idf(docFreq=582, maxDocs=44218)
          0.02734375 = fieldNorm(doc=4276)
  0.2 = coord(1/5)

Abstract

Advanced technology has resulted in the generation of about one million terabytes of information every year. Ninety-reine percent of this is available in digital format (Keim, 2001). More information will be generated in the next three years than was created during all of previous human history (Keim, 2001). Collecting information is no longer a problem, but extracting value from information collections has become progressively more difficult. Various search engines have been developed to make it easier to locate information of interest, but these work well only for a person who has a specific goal and who understands what and how information is stored. This usually is not the Gase. Visualization was commonly thought of in terms of representing human mental processes (MacEachren, 1991; Miller, 1984). The concept is now associated with the amplification of these mental processes (Card, Mackinlay, & Shneiderman, 1999). Human eyes can process visual cues rapidly, whereas advanced information analysis techniques transform the computer into a powerful means of managing digitized information. Visualization offers a link between these two potent systems, the human eye and the computer (Gershon, Eick, & Card, 1998), helping to identify patterns and to extract insights from large amounts of information. The identification of patterns is important because it may lead to a scientific discovery, an interpretation of clues to solve a crime, the prediction of catastrophic weather, a successful financial investment, or a better understanding of human behavior in a computermediated environment. Visualization technology shows considerable promise for increasing the value of large-scale collections of information, as evidenced by several commercial applications of TreeMap (e.g., http://www.smartmoney.com) and Hyperbolic tree (e.g., http://www.inxight.com) to visualize large-scale hierarchical structures. Although the proliferation of visualization technologies dates from the 1990s where sophisticated hardware and software made increasingly faster generation of graphical objects possible, the role of visual aids in facilitating the construction of mental images has a long history. Visualization has been used to communicate ideas, to monitor trends implicit in data, and to explore large volumes of data for hypothesis generation. Imagine traveling to a strange place without a map, having to memorize physical and chemical properties of an element without Mendeleyev's periodic table, trying to understand the stock market without statistical diagrams, or browsing a collection of documents without interactive visual aids. A collection of information can lose its value simply because of the effort required for exhaustive exploration. Such frustrations can be overcome by visualization.

0.009652381 = product of:
  0.048261903 = sum of:
    0.048261903 = weight(_text_:22 in 2500) [ClassicSimilarity], result of:
      0.048261903 = score(doc=2500,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.2708308 = fieldWeight in 2500, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2500)
  0.2 = coord(1/5)

Date

30. 1.2007 18:22:41

0.008273469 = product of:
  0.041367345 = sum of:
    0.041367345 = weight(_text_:22 in 1289) [ClassicSimilarity], result of:
      0.041367345 = score(doc=1289,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.23214069 = fieldWeight in 1289, 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=1289)
  0.2 = coord(1/5)

Content

Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".

0.008273469 = product of:
  0.041367345 = sum of:
    0.041367345 = weight(_text_:22 in 1781) [ClassicSimilarity], result of:
      0.041367345 = score(doc=1781,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.23214069 = fieldWeight in 1781, 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=1781)
  0.2 = coord(1/5)

Date

22. 3.2008 14:35:21

0.008273469 = product of:
  0.041367345 = sum of:
    0.041367345 = weight(_text_:22 in 3693) [ClassicSimilarity], result of:
      0.041367345 = score(doc=3693,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.23214069 = fieldWeight in 3693, 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=3693)
  0.2 = coord(1/5)

Date

22. 7.2010 19:36:46

0.008273469 = product of:
  0.041367345 = sum of:
    0.041367345 = weight(_text_:22 in 1709) [ClassicSimilarity], result of:
      0.041367345 = score(doc=1709,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.23214069 = fieldWeight in 1709, 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=1709)
  0.2 = coord(1/5)

Date

4. 2.2015 9:22:39

0.006894558 = product of:
  0.03447279 = sum of:
    0.03447279 = weight(_text_:22 in 1397) [ClassicSimilarity], result of:
      0.03447279 = score(doc=1397,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.19345059 = fieldWeight in 1397, 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=1397)
  0.2 = coord(1/5)

Date

22. 3.2008 14:29:25

0.006894558 = product of:
  0.03447279 = sum of:
    0.03447279 = weight(_text_:22 in 5272) [ClassicSimilarity], result of:
      0.03447279 = score(doc=5272,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.19345059 = fieldWeight in 5272, 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=5272)
  0.2 = coord(1/5)

Date

22. 7.2006 16:11:05

0.006894558 = product of:
  0.03447279 = sum of:
    0.03447279 = weight(_text_:22 in 3070) [ClassicSimilarity], result of:
      0.03447279 = score(doc=3070,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.19345059 = fieldWeight in 3070, 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=3070)
  0.2 = coord(1/5)

Date

20. 1.2015 18:30:22

0.006894558 = product of:
  0.03447279 = sum of:
    0.03447279 = weight(_text_:22 in 4573) [ClassicSimilarity], result of:
      0.03447279 = score(doc=4573,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.19345059 = fieldWeight in 4573, 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=4573)
  0.2 = coord(1/5)

Date

9.12.2018 16:22:25

0.006894558 = product of:
  0.03447279 = sum of:
    0.03447279 = weight(_text_:22 in 4641) [ClassicSimilarity], result of:
      0.03447279 = score(doc=4641,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.19345059 = fieldWeight in 4641, 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=4641)
  0.2 = coord(1/5)

Date

21.12.2018 17:22:13

0.005515646 = product of:
  0.027578231 = sum of:
    0.027578231 = weight(_text_:22 in 2659) [ClassicSimilarity], result of:
      0.027578231 = score(doc=2659,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.15476047 = fieldWeight in 2659, 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=2659)
  0.2 = coord(1/5)

Source

Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas

0.005515646 = product of:
  0.027578231 = sum of:
    0.027578231 = weight(_text_:22 in 1444) [ClassicSimilarity], result of:
      0.027578231 = score(doc=1444,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.15476047 = fieldWeight in 1444, 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=1444)
  0.2 = coord(1/5)

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

0.0041367346 = product of:
  0.020683672 = sum of:
    0.020683672 = weight(_text_:22 in 3035) [ClassicSimilarity], result of:
      0.020683672 = score(doc=3035,freq=2.0), product of:
        0.17819946 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.05088753 = queryNorm
        0.116070345 = fieldWeight in 3035, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.0234375 = fieldNorm(doc=3035)
  0.2 = coord(1/5)

Content

As the team describe in a paper posted (http://arxiv.org/abs/1605.04951) on arXiv, they found that figures did indeed matter-but not all in the same way. An average paper in PubMed Central has about one diagram for every three pages and gets 1.67 citations. Papers with more diagrams per page and, to a lesser extent, plots per page tended to be more influential (on average, a paper accrued two more citations for every extra diagram per page, and one more for every extra plot per page). By contrast, including photographs and equations seemed to decrease the chances of a paper being cited by others. That agrees with a study from 2012, whose authors counted (by hand) the number of mathematical expressions in over 600 biology papers and found that each additional equation per page reduced the number of citations a paper received by 22%. This does not mean that researchers should rush to include more diagrams in their next paper. Dr Howe has not shown what is behind the effect, which may merely be one of correlation, rather than causation. It could, for example, be that papers with lots of diagrams tend to be those that illustrate new concepts, and thus start a whole new field of inquiry. Such papers will certainly be cited a lot. On the other hand, the presence of equations really might reduce citations. Biologists (as are most of those who write and read the papers in PubMed Central) are notoriously mathsaverse. If that is the case, looking in a physics archive would probably produce a different result.