Search (127 results, page 6 of 7)

  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  1. Darányi, S.; Wittek, P.: Demonstrating conceptual dynamics in an evolving text collection (2013) 0.01 
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    Journal of the American Society for Information Science and Technology. 64(2013) no.12, S.2564-2572
  2. Symonds, M.; Bruza, P.; Zuccon, G.; Koopman, B.; Sitbon, L.; Turner, I.: Automatic query expansion : a structural linguistic perspective (2014) 0.01 
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    Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1577-1596
  3. Brandão, W.C.; Santos, R.L.T.; Ziviani, N.; Moura, E.S. de; Silva, A.S. da: Learning to expand queries using entities (2014) 0.01 
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    Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1870-1883
  4. Pal, D.; Mitra, M.; Datta, K.: Improving query expansion using WordNet (2014) 0.01 
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    Journal of the Association for Information Science and Technology. 65(2014) no.12, S.2469-2478
  5. Bando, L.L.; Scholer, F.; Turpin, A.: Query-biased summary generation assisted by query expansion : temporality (2015) 0.01 
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    Journal of the Association for Information Science and Technology. 66(2015) no.5, S.961-979
  6. Bhansali, D.; Desai, H.; Deulkar, K.: ¬A study of different ranking approaches for semantic search (2015) 0.01 
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    International journal of computer applications. 129(2015) no.5, S12-15
  7. Chebil, W.; Soualmia, L.F.; Omri, M.N.; Darmoni, S.F.: Indexing biomedical documents with a possibilistic network (2016) 0.01 
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    Journal of the Association for Information Science and Technology. 67(2016) no.4, S.928-941
  8. Xu, B.; Lin, H.; Lin, Y.: Assessment of learning to rank methods for query expansion (2016) 0.01 
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    Journal of the Association for Information Science and Technology. 67(2016) no.6, S.1345-1357
  9. Pontis, S.; Kefalidou, G.; Blandford, A.; Forth, J.; Makri, S.; Sharples, S.; Wiggins, G.; Woods, M.: Academics' responses to encountered information : context matters (2016) 0.01 
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    Journal of the Association for Information Science and Technology. 67(2016) no.8, S.1883-1903
  10. Athukorala, K.; Glowacka, D.; Jacucci, G.; Oulasvirta, A.; Vreeken, J.: Is exploratory search different? : a comparison of information search behavior for exploratory and lookup tasks (2016) 0.01 
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    Journal of the Association for Information Science and Technology. 67(2016) no.11, S.2635-2651
  11. Järvelin, A.; Keskustalo, H.; Sormunen, E.; Saastamoinen, M.; Kettunen, K.: Information retrieval from historical newspaper collections in highly inflectional languages : a query expansion approach (2016) 0.01 
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    Journal of the Association for Information Science and Technology. 67(2016) no.12, S.2928-2946
  12. Ferreira, R.S.; Graça Pimentel, M. de; Cristo, M.: ¬A wikification prediction model based on the combination of latent, dyadic, and monadic features (2018) 0.01 
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    Journal of the Association for Information Science and Technology. 69(2018) no.3, S.380-394
  13. Adhikari, A.; Dutta, B.; Dutta, A.; Mondal, D.; Singh, S.: ¬An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology (2018) 0.01 
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    Journal of the Association for Information Science and Technology. 69(2018) no.8, S.1023-1034
  14. Ruotsalo, T.; Jacucci, G.; Kaski, S.: Interactive faceted query suggestion for exploratory search : whole-session effectiveness and interaction engagement (2020) 0.01 
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    Journal of the Association for Information Science and Technology. 71(2020) no.7, S.742-756
  15. Shapiro, C.D.; Yan, P.-F.: Generous tools : thesauri in digital libraries (1996) 0.01 
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  16. Efthimiadis, E.N.: Interactive query expansion : a user-based evaluation in a relevance feedback environment (2000) 0.01 
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    Journal of the American Society for Information Science. 51(2000) no.11, S.989-1003
  17. Bilal, D.; Kirby, J.: Differences and similarities in information seeking : children and adults as Web users (2002) 0.01 
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    Abstract
    This study examined the success and information seeking behaviors of seventh-grade science students and graduate students in information science in using Yahooligans! Web search engine/directory. It investigated these users' cognitive, affective, and physical behaviors as they sought the answer for a fact-finding task. It analyzed and compared the overall patterns of children's and graduate students' Web activities, including searching moves, browsing moves, backtracking moves, looping moves, screen scrolling, target location and deviation moves, and the time they took to complete the task. The authors applied Bilal's Web Traversal Measure to quantify these users' effectiveness, efficiency, and quality of moves they made. Results were based on 14 children's Web sessions and nine graduate students' sessions. Both groups' Web activities were captured online using Lotus ScreenCam, a software package that records and replays online activities in Web browsers. Children's affective states were captured via exit interviews. Graduate students' affective states were extracted from the journal writings they kept during the traversal process. The study findings reveal that 89% of the graduate students found the correct answer to the search task as opposed to 50% of the children. Based on the Measure, graduate students' weighted effectiveness, efficiency, and quality of the Web moves they made were much higher than those of the children. Regardless of success and weighted scores, however, similarities and differences in information seeking were found between the two groups. Yahooligans! poor structure of keyword searching was a major factor that contributed to the "breakdowns" children and graduate students experienced. Unlike children, graduate students were able to recover from "breakdowns" quickly and effectively. Three main factors influenced these users' performance: ability to recover from "breakdowns", navigational style, and focus on task. Children and graduate students made recommendations for improving Yahooligans! interface design. Implications for Web user training and system design improvements are made.
  18. Brunetti, J.M.; Roberto García, R.: User-centered design and evaluation of overview components for semantic data exploration (2014) 0.01 
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    Aslib journal of information management. 66(2014) no.5, S.519-536
  19. Koopman, B.; Zuccon, G.; Bruza, P.; Sitbon, L.; Lawley, M.: Information retrieval as semantic inference : a graph Inference model applied to medical search (2016) 0.01 
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    Information Retrieval Journal. 19(2016) no.1, S.6-37
  20. Shiri, A.A.; Revie, C.; Chowdhury, G.: Thesaurus-assisted search term selection and query expansion : a review of user-centred studies (2002) 0.01 
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus

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