Search (256 results, page 12 of 13)

  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  1. Liu, X.; Zheng, W.; Fang, H.: ¬An exploration of ranking models and feedback method for related entity finding (2013) 0.00
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    Information processing and management. 49(2013) no.5, S.995-1007
  2. Ahn, J.-w.; Brusilovsky, P.: Adaptive visualization for exploratory information retrieval (2013) 0.00
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    Source
    Information processing and management. 49(2013) no.5, S.1139-1164
  3. Chebil, W.; Soualmia, L.F.; Omri, M.N.; Darmoni, S.F.: Indexing biomedical documents with a possibilistic network (2016) 0.00
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    Journal of the Association for Information Science and Technology. 67(2016) no.4, S.928-941
  4. Jiang, Y.; Bai, W.; Zhang, X.; Hu, J.: Wikipedia-based information content and semantic similarity computation (2017) 0.00
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    Source
    Information processing and management. 53(2017) no.1, S.248-265
  5. Olmos, R.; Jorge-Botana, G.; Luzón, J.M.; Martín-Cordero, J.I.; León, J.A.: Transforming LSA space dimensions into a rubric for an automatic assessment and feedback system (2016) 0.00
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    Source
    Information processing and management. 52(2016) no.3, S.359-373
  6. Xu, B.; Lin, H.; Lin, Y.: Assessment of learning to rank methods for query expansion (2016) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.6, S.1345-1357
  7. Cai, F.; Rijke, M. de: Learning from homologous queries and semantically related terms for query auto completion (2016) 0.00
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    Source
    Information processing and management. 52(2016) no.4, S.628-643
  8. 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) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.11, S.2635-2651
  9. 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) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.12, S.2928-2946
  10. Nagao, M.: Knowledge and inference (1990) 0.00
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    Pages
    XV, 304 S
  11. Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010) 0.00
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  12. Ma, N.; Zheng, H.T.; Xiao, X.: ¬An ontology-based latent semantic indexing approach using long short-term memory networks (2017) 0.00
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    Pages
    S.185-199
  13. Horch, A.; Kett, H.; Weisbecker, A.: Semantische Suchsysteme für das Internet : Architekturen und Komponenten semantischer Suchmaschinen (2013) 0.00
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    Pages
    150 S
  14. Ferreira, R.S.; Graça Pimentel, M. de; Cristo, M.: ¬A wikification prediction model based on the combination of latent, dyadic, and monadic features (2018) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.3, S.380-394
  15. Kasprzik, A.; Kett, J.: Vorschläge für eine Weiterentwicklung der Sacherschließung und Schritte zur fortgesetzten strukturellen Aufwertung der GND (2018) 0.00
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    Source
    o-bib: Das offene Bibliotheksjournal. 5(2018) Nr.4, S.127-140
  16. Qu, R.; Fang, Y.; Bai, W.; Jiang, Y.: Computing semantic similarity based on novel models of semantic representation using Wikipedia (2018) 0.00
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    Source
    Information processing and management. 54(2018) no.6, S.1002-1021
  17. Fernández-Reyes, F.C.; Hermosillo-Valadez, J.; Montes-y-Gómez, M.: ¬A prospect-guided global query expansion strategy using word embeddings (2018) 0.00
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    Information processing and management. 54(2018) no.1, S.1-13
  18. Caro Castro, C.; Travieso Rodríguez, C.: Ariadne's thread : knowledge structures for browsing in OPAC's (2003) 0.00
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    Abstract
    Subject searching is the most common but also the most conflictive searching for end user. The aim of this paper is to check how users expressions match subject headings and to prove if knowledge structure used in online catalogs enhances searching effectiveness. A bibliographic revision about difficulties in subject access and proposed methods to improve it is also presented. For the empirical analysis, transaction logs from two university libraries, online catalogs (CISNE and FAMA) were collected. Results show that more than a quarter of user queries are effective due to an alphabetical subject index approach and browsing through hypertextual links. 1. Introduction Since the 1980's, online public access catalogs (OPAC's) have become usual way to access bibliographic information. During the last two decades the technological development has helped to extend their use, making feasible the access for a whole of users that is getting more and more extensive and heterogeneous, and also to incorporate information resources in electronic formats and to interconnect systems. However, technology seems to have developed faster than our knowledge about the tasks where it has been applied and than the evolution of our capacities for adapting to it. The conceptual model of OPAC has been hardly modified recently, and for interacting with them, users still need to combine the same skills and basic knowledge than at the beginning of its introduction (Borgman, 1986, 2000): a) conceptual knowledge to translate the information need into an appropriate query because of a well-designed mental model of the system, b) semantic and syntactic knowledge to be able to implement that query (access fields, searching type, Boolean logic, etc.) and c) basic technical skills in computing. At present many users have the essential technical skills to make use, with more or less expertise, of a computer. This number is substantially reduced when it is referred to the conceptual, semantic and syntactic knowledge that is necessary to achieve a moderately satisfactory search. An added difficulty arises in subject searching, as users should concrete their unknown information needs in terms that the information retrieval system can understand. Many researches have focused an unskilled searchers' difficulties to enter an effective query. The mental models influence, users assumption about characteristics, structure, contents and operation of the system they interact with have been analysed (Dillon, 2000; Dimitroff, 2000). Another issue that implies difficulties is vocabulary: how to find the right terms to implement a query and to modify it as the case may be. Terminology and expressions characteristics used in searching (Bates, 1993), the match between user terms and the subject headings from the catalog (Carlyle, 1989; Drabensttot, 1996; Drabensttot & Vizine-Goetz, 1994), the incidence of spelling errors (Drabensttot and Weller, 1996; Ferl and Millsap, 1996; Walker and Jones, 1987), users problems
    Pages
    S.500-509
  19. Efthimiadis, E.N.: Interactive query expansion : a user-based evaluation in a relevance feedback environment (2000) 0.00
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    Source
    Journal of the American Society for Information Science. 51(2000) no.11, S.989-1003
  20. Otto, A.: Ordnungssysteme als Wissensbasis für die Suche in textbasierten Datenbeständen : dargestellt am Beispiel einer soziologischen Bibliographie (1998) 0.00
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    Pages
    S.249-258

Years

Languages

  • e 214
  • d 37
  • f 2
  • chi 1
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Types

  • a 224
  • m 19
  • el 13
  • r 6
  • x 4
  • s 2
  • p 1
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