Search (50 results, page 1 of 3)

  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  1. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie (2005) 0.05 
    0.048074253 = product of:
  0.072111376 = sum of:
    0.04844704 = weight(_text_:b in 1852) [ClassicSimilarity], result of:
      0.04844704 = score(doc=1852,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.27401197 = fieldWeight in 1852, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1852)
    0.023664335 = product of:
      0.04732867 = sum of:
        0.04732867 = weight(_text_:22 in 1852) [ClassicSimilarity], result of:
          0.04732867 = score(doc=1852,freq=2.0), product of:
            0.17475364 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049903523 = queryNorm
            0.2708308 = fieldWeight in 1852, 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=1852)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)
    Date
    11. 2.2011 18:22:58
  2. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2005) 0.05 
    0.048074253 = product of:
  0.072111376 = sum of:
    0.04844704 = weight(_text_:b in 4324) [ClassicSimilarity], result of:
      0.04844704 = score(doc=4324,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.27401197 = fieldWeight in 4324, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4324)
    0.023664335 = product of:
      0.04732867 = sum of:
        0.04732867 = weight(_text_:22 in 4324) [ClassicSimilarity], result of:
          0.04732867 = score(doc=4324,freq=2.0), product of:
            0.17475364 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049903523 = queryNorm
            0.2708308 = fieldWeight in 4324, 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=4324)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)
    Date
    11. 2.2011 18:22:25
  3. Shiri, A.A.; Revie, C.: Query expansion behavior within a thesaurus-enhanced search environment : a user-centered evaluation (2006) 0.03 
    0.034338754 = product of:
  0.05150813 = sum of:
    0.03460503 = weight(_text_:b in 56) [ClassicSimilarity], result of:
      0.03460503 = score(doc=56,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.19572285 = fieldWeight in 56, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.0390625 = fieldNorm(doc=56)
    0.016903097 = product of:
      0.033806194 = sum of:
        0.033806194 = weight(_text_:22 in 56) [ClassicSimilarity], result of:
          0.033806194 = score(doc=56,freq=2.0), product of:
            0.17475364 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049903523 = queryNorm
            0.19345059 = fieldWeight in 56, 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=56)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)
    Abstract
    The study reported here investigated the query expansion behavior of end-users interacting with a thesaurus-enhanced search system on the Web. Two groups, namely academic staff and postgraduate students, were recruited into this study. Data were collected from 90 searches performed by 30 users using the OVID interface to the CAB abstracts database. Data-gathering techniques included questionnaires, screen capturing software, and interviews. The results presented here relate to issues of search-topic and search-term characteristics, number and types of expanded queries, usefulness of thesaurus terms, and behavioral differences between academic staff and postgraduate students in their interaction. The key conclusions drawn were that (a) academic staff chose more narrow and synonymous terms than did postgraduate students, who generally selected broader and related terms; (b) topic complexity affected users' interaction with the thesaurus in that complex topics required more query expansion and search term selection; (c) users' prior topic-search experience appeared to have a significant effect on their selection and evaluation of thesaurus terms; (d) in 50% of the searches where additional terms were suggested from the thesaurus, users stated that they had not been aware of the terms at the beginning of the search; this observation was particularly noticeable in the case of postgraduate students.
    Date
    22. 7.2006 16:32:43
  4. Walker, S.; DeVere, R.: Improving subject retrieval in online catalogues : T.2: Relevance feedback and query expansion (1990) 0.03 
    0.028690744 = product of:
  0.08607223 = sum of:
    0.08607223 = product of:
      0.17214446 = sum of:
        0.17214446 = weight(_text_:72 in 1816) [ClassicSimilarity], result of:
          0.17214446 = score(doc=1816,freq=2.0), product of:
            0.27884293 = queryWeight, product of:
              5.58764 = idf(docFreq=449, maxDocs=44218)
              0.049903523 = queryNorm
            0.6173528 = fieldWeight in 1816, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.58764 = idf(docFreq=449, maxDocs=44218)
              0.078125 = fieldNorm(doc=1816)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Series
    British Library research paper; 72
  5. Gillitzer, B.: Yewno (2017) 0.03 
    0.027471002 = product of:
  0.0412065 = sum of:
    0.027684024 = weight(_text_:b in 3447) [ClassicSimilarity], result of:
      0.027684024 = score(doc=3447,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.15657827 = fieldWeight in 3447, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.03125 = fieldNorm(doc=3447)
    0.013522477 = product of:
      0.027044954 = sum of:
        0.027044954 = weight(_text_:22 in 3447) [ClassicSimilarity], result of:
          0.027044954 = score(doc=3447,freq=2.0), product of:
            0.17475364 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049903523 = queryNorm
            0.15476047 = fieldWeight in 3447, 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=3447)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)
    Date
    22. 2.2017 10:16:49
  6. Heuss, T.; Humm, B.; Deuschel, T.; Frohlich, T.; Herth, T.; Mitesser, O.: Semantically guided, situation-aware literature research (2015) 0.02 
    0.02307002 = product of:
  0.06921006 = sum of:
    0.06921006 = weight(_text_:b in 2556) [ClassicSimilarity], result of:
      0.06921006 = score(doc=2556,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.3914457 = fieldWeight in 2556, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.078125 = fieldNorm(doc=2556)
  0.33333334 = coord(1/3)
  7. Robertson, S.E.: On term selection for query expansion (1990) 0.02 
    0.018456016 = product of:
  0.055368047 = sum of:
    0.055368047 = weight(_text_:b in 2650) [ClassicSimilarity], result of:
      0.055368047 = score(doc=2650,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.31315655 = fieldWeight in 2650, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.0625 = fieldNorm(doc=2650)
  0.33333334 = coord(1/3)
    Abstract
    In the framework of a relevance feedback system, term values or term weights may be used to (a) select new terms for inclusion in a query, and/or (b) weight the terms for retrieval purposes once selected. It has sometimes been assumed that the same weighting formula should be used for both purposes. This paper sketches a quantitative argument which suggests that the two purposes require different weighting formulae
  8. Deuschel, T.; Heuss, T.; Humm, B.: ¬Die Medienplattform : ein System für gerichtete und ungerichtete semantische Suchen (2015) 0.02 
    0.018456016 = product of:
  0.055368047 = sum of:
    0.055368047 = weight(_text_:b in 2233) [ClassicSimilarity], result of:
      0.055368047 = score(doc=2233,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.31315655 = fieldWeight in 2233, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.0625 = fieldNorm(doc=2233)
  0.33333334 = coord(1/3)
  9. Jansen, B.; Browne, G.M.: Navigating information spaces : index / mind map / topic map? (2021) 0.02 
    0.018456016 = product of:
  0.055368047 = sum of:
    0.055368047 = weight(_text_:b in 436) [ClassicSimilarity], result of:
      0.055368047 = score(doc=436,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.31315655 = fieldWeight in 436, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.0625 = fieldNorm(doc=436)
  0.33333334 = coord(1/3)
  10. Hetzler, B.: Visual analysis and exploration of relationships (2002) 0.02 
    0.016149014 = product of:
  0.04844704 = sum of:
    0.04844704 = weight(_text_:b in 1189) [ClassicSimilarity], result of:
      0.04844704 = score(doc=1189,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.27401197 = fieldWeight in 1189, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1189)
  0.33333334 = coord(1/3)
  11. Boyack, K.W.; Wylie,B.N.; Davidson, G.S.: Information Visualization, Human-Computer Interaction, and Cognitive Psychology : Domain Visualizations (2002) 0.02 
    0.015936393 = product of:
  0.047809176 = sum of:
    0.047809176 = product of:
      0.09561835 = sum of:
        0.09561835 = weight(_text_:22 in 1352) [ClassicSimilarity], result of:
          0.09561835 = score(doc=1352,freq=4.0), product of:
            0.17475364 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049903523 = queryNorm
            0.54716086 = fieldWeight in 1352, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=1352)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:17:40
  12. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.02 
    0.015776224 = product of:
  0.04732867 = sum of:
    0.04732867 = product of:
      0.09465734 = sum of:
        0.09465734 = weight(_text_:22 in 2134) [ClassicSimilarity], result of:
          0.09465734 = score(doc=2134,freq=2.0), product of:
            0.17475364 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.049903523 = queryNorm
            0.5416616 = fieldWeight in 2134, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=2134)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    Date
    30. 3.2001 13:32:22
  13. Rahmstorf, G.: Integriertes Management inhaltlicher Datenarten (2001) 0.01 
    0.013842012 = product of:
  0.041526034 = sum of:
    0.041526034 = weight(_text_:b in 5856) [ClassicSimilarity], result of:
      0.041526034 = score(doc=5856,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.23486741 = fieldWeight in 5856, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.046875 = fieldNorm(doc=5856)
  0.33333334 = coord(1/3)
    Abstract
    Inhaltliche Daten sind im Unterschied zu Messdaten, Zahlen, Analogsignalen und anderen Informationen solche Daten, die sich auch sprachlich interpretieren lassen. Sie transportieren Inhalte, die sich benennen lassen. Zu inhaltlichen Daten gehören z. B. Auftragsdaten, Werbetexte, Produktbezeichnungen und Patentklassifikationen. Die meisten Daten, die im Internet kommuniziert werden, sind inhaltliche Daten. Man kann inhaltliche Daten in vier Klassen einordnen: * Wissensdaten - formatierte Daten (Fakten u. a. Daten in strukturierter Form), - nichtformatierte Daten (vorwiegend Texte); * Zugriffsdaten - Benennungsdaten (Wortschatz, Terminologie, Themen u. a.), - Begriffsdaten (Ordnungs- und Bedeutungsstrukturen). In der Wissensorganisation geht es hauptsächlich darum, die unüberschaubare Fülle des Wissens zu ordnen und wiederauffindbar zu machen. Daher befasst sich das Fach nicht nur mit dem Wissen selbst, selbst sondern auch mit den Mitteln, die dazu verwendet werden, das Wissen zu ordnen und auffindbar zu machen
  14. Arenas, M.; Cuenca Grau, B.; Kharlamov, E.; Marciuska, S.; Zheleznyakov, D.: Faceted search over ontology-enhanced RDF data (2014) 0.01 
    0.013842012 = product of:
  0.041526034 = sum of:
    0.041526034 = weight(_text_:b in 2207) [ClassicSimilarity], result of:
      0.041526034 = score(doc=2207,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.23486741 = fieldWeight in 2207, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.046875 = fieldNorm(doc=2207)
  0.33333334 = coord(1/3)
  15. Selvaretnam, B.; Belkhatir, M.: ¬A linguistically driven framework for query expansion via grammatical constituent highlighting and role-based concept weighting (2016) 0.01 
    0.013842012 = product of:
  0.041526034 = sum of:
    0.041526034 = weight(_text_:b in 2876) [ClassicSimilarity], result of:
      0.041526034 = score(doc=2876,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.23486741 = fieldWeight in 2876, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.046875 = fieldNorm(doc=2876)
  0.33333334 = coord(1/3)
  16. Wongthontham, P.; Abu-Salih, B.: Ontology-based approach for semantic data extraction from social big data : state-of-the-art and research directions (2018) 0.01 
    0.013842012 = product of:
  0.041526034 = sum of:
    0.041526034 = weight(_text_:b in 4097) [ClassicSimilarity], result of:
      0.041526034 = score(doc=4097,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.23486741 = fieldWeight in 4097, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.046875 = fieldNorm(doc=4097)
  0.33333334 = coord(1/3)
  17. Chen, H.; Lally, A.M.; Zhu, B.; Chau, M.: HelpfulMed : Intelligent searching for medical information over the Internet (2003) 0.01 
    0.01153501 = product of:
  0.03460503 = sum of:
    0.03460503 = weight(_text_:b in 1615) [ClassicSimilarity], result of:
      0.03460503 = score(doc=1615,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.19572285 = fieldWeight in 1615, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1615)
  0.33333334 = coord(1/3)
  18. Koike, A.; Takagi, T.: Knowledge discovery based on an implicit and explicit conceptual network (2007) 0.01 
    0.01153501 = product of:
  0.03460503 = sum of:
    0.03460503 = weight(_text_:b in 85) [ClassicSimilarity], result of:
      0.03460503 = score(doc=85,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.19572285 = fieldWeight in 85, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.0390625 = fieldNorm(doc=85)
  0.33333334 = coord(1/3)
    Abstract
    The amount of knowledge accumulated in published scientific papers has increased due to the continuing progress being made in scientific research. Since numerous papers have only reported fragments of scientific facts, there are possibilities for discovering new knowledge by connecting these facts. We therefore developed a system called BioTermNet to draft a conceptual network with hybrid methods of information extraction and information retrieval. Two concepts are regarded as related in this system if (a) their relationship is clearly described in MEDLINE abstracts or (b) they have distinctively co-occurred in abstracts. PRIME data, including protein interactions and functions extracted by NLP techniques, are used in the former, and the Singhalmeasure for information retrieval is used in the latter. Relationships that are not clearly or directly described in an abstract can be extracted by connecting multiple concepts. To evaluate how well this system performs, Swanson's association between Raynaud's disease and fish oil and that between migraine and magnesium were tested with abstracts that had been published before the discovery of these associations. The result was that when start and end concepts were given, plausible and understandable intermediate concepts connecting them could be detected. When only the start concept was given, not only the focused concept (magnesium and fish oil) but also other probable concepts could be detected as related concept candidates. Finally, this system was applied to find diseases related to the BRCA1 gene. Some other new potentially related diseases were detected along with diseases whose relations to BRCA1 were already known.
  19. Symonds, M.; Bruza, P.; Zuccon, G.; Koopman, B.; Sitbon, L.; Turner, I.: Automatic query expansion : a structural linguistic perspective (2014) 0.01 
    0.01153501 = product of:
  0.03460503 = sum of:
    0.03460503 = weight(_text_:b in 1338) [ClassicSimilarity], result of:
      0.03460503 = score(doc=1338,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.19572285 = fieldWeight in 1338, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1338)
  0.33333334 = coord(1/3)
  20. Pal, D.; Mitra, M.; Datta, K.: Improving query expansion using WordNet (2014) 0.01 
    0.01153501 = product of:
  0.03460503 = sum of:
    0.03460503 = weight(_text_:b in 1545) [ClassicSimilarity], result of:
      0.03460503 = score(doc=1545,freq=2.0), product of:
        0.17680629 = queryWeight, product of:
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.049903523 = queryNorm
        0.19572285 = fieldWeight in 1545, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.542962 = idf(docFreq=3476, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1545)
  0.33333334 = coord(1/3)
    Abstract
    This study proposes a new way of using WordNet for query expansion (QE). We choose candidate expansion terms from a set of pseudo-relevant documents; however, the usefulness of these terms is measured based on their definitions provided in a hand-crafted lexical resource such as WordNet. Experiments with a number of standard TREC collections WordNet-based that this method outperforms existing WordNet-based methods. It also compares favorably with established QE methods such as KLD and RM3. Leveraging earlier work in which a combination of QE methods was found to outperform each individual method (as well as other well-known QE methods), we next propose a combination-based QE method that takes into account three different aspects of a candidate expansion term's usefulness: (a) its distribution in the pseudo-relevant documents and in the target corpus, (b) its statistical association with query terms, and (c) its semantic relation with the query, as determined by the overlap between the WordNet definitions of the term and query terms. This combination of diverse sources of information appears to work well on a number of test collections, viz., TREC123, TREC5, TREC678, TREC robust (new), and TREC910 collections, and yields significant improvements over competing methods on most of these collections.

Authors

Years

Languages

  • e 43
  • d 6

Types

  • a 43
  • el 9
  • r 2
  • m 1
  • p 1
  • More… Less…

Themes

Subjects

Classifications