Search (4 results, page 1 of 1)

  • × type_ss:"el"
  • × type_ss:"s"
  • × year_i:[2010 TO 2020}
  1. Voigt, M.; Mitschick, A.; Schulz, J.: Yet another triple store benchmark? : practical experiences with real-world data (2012) 0.00 
    0.0015337638 = product of:
  0.012270111 = sum of:
    0.012270111 = product of:
      0.03681033 = sum of:
        0.03681033 = weight(_text_:problem in 476) [ClassicSimilarity], result of:
          0.03681033 = score(doc=476,freq=2.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.28137225 = fieldWeight in 476, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.046875 = fieldNorm(doc=476)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)
    Abstract
    Although quite a number of RDF triple store benchmarks have already been conducted and published, it appears to be not that easy to find the right storage solution for your particular Semantic Web project. A basic reason is the lack of comprehensive performance tests with real-world data. Confronted with this problem, we setup and ran our own tests with a selection of four up-to-date triple store implementations - and came to interesting findings. In this paper, we briefly present the benchmark setup including the store configuration, the datasets, and the test queries. Based on a set of metrics, our results demonstrate the importance of real-world datasets in identifying anomalies or di?erences in reasoning. Finally, we must state that it is indeed difficult to give a general recommendation as no store wins in every field.
  2. Bahls, D.; Scherp, G.; Tochtermann, K.; Hasselbring, W.: Towards a recommender system for statistical research data (2012) 0.00 
    0.0012781365 = product of:
  0.010225092 = sum of:
    0.010225092 = product of:
      0.030675275 = sum of:
        0.030675275 = weight(_text_:problem in 474) [ClassicSimilarity], result of:
          0.030675275 = score(doc=474,freq=2.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.23447686 = fieldWeight in 474, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0390625 = fieldNorm(doc=474)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)
    Abstract
    To effectively promote the exchange of scientific data, retrieval services are required to suit the needs of the research community. A large amount of research in the field of economics is based on statistical data, which is often drawn from external sources like data agencies, statistical offices or affiated institutes. Since producing such data for a particular research question is expensive in time and money-if possible at all- research activities are often influenced by the availability of suitable data. Researchers choose or adjust their questions, so that the empirical foundation to support their results is given. As a consequence, researchers look out and poll for newly available data in all sorts of directions due to a lacking information infrastructure for this domain. This circumstance and a recent report from the High Level Expert Group on Scientific Data motivate recommendation and notification services for research data sets. In this paper, we elaborate on a case-based recommender system for statistical data, which allows for precise query specification. We discuss required similarity measures on the basis of cross-domain code lists and propose a system architecture. To address the problem of continuous polling, we elaborate on a notification service to inform researchers on newly avaible data sets based on their personal request.
  3. Dietze, S.; Maynard, D.; Demidova, E.; Risse, T.; Stavrakas, Y.: Entity extraction and consolidation for social Web content preservation (2012) 0.00 
    8.7789324E-4 = product of:
  0.007023146 = sum of:
    0.007023146 = product of:
      0.021069437 = sum of:
        0.021069437 = weight(_text_:29 in 470) [ClassicSimilarity], result of:
          0.021069437 = score(doc=470,freq=2.0), product of:
            0.108422816 = queryWeight, product of:
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.030822188 = queryNorm
            0.19432661 = fieldWeight in 470, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5176873 = idf(docFreq=3565, maxDocs=44218)
              0.0390625 = fieldNorm(doc=470)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)
    Pages
    S.18-29
  4. Open MIND (2015) 0.00 
    8.699961E-4 = product of:
  0.0069599687 = sum of:
    0.0069599687 = product of:
      0.020879906 = sum of:
        0.020879906 = weight(_text_:22 in 1648) [ClassicSimilarity], result of:
          0.020879906 = score(doc=1648,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.19345059 = fieldWeight in 1648, 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=1648)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)
    Date
    27. 1.2015 11:48:22

Authors