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  • × language_ss:"e"
  • × year_i:[2000 TO 2010}
  1. Mustafa el Hadi, W.: ¬The French ISKO Chapter, origins and activities : Guest editorial (2001) 0.04 
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  2. Martinéz, A.; Felipe, F.: Teaching of subject access and retrieval at Mexican LIS schools (2001) 0.04 
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  3. Plassard, M.-F.: IFLA core actvity for Universal Bibliographic Control and Internation MARC (2001) 0.04 
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  4. ISO 704:2000 Terminology work, principles and methods : Travail terminologique, priciples et méthodes (2000) 0.04 
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  5. French, J.C.; Powell, A.L.; Gey, F.; Perelman, N.: Exploiting manual indexing to improve collection selection and retrieval effectiveness (2002) 0.04 
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  6. Pinto, F.; Fraser, M.: Access management, the key to a Portal (2003) 0.04 
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  7. Van der Velde, F.: Symbol manipulation with neural networks (2002) 0.04 
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  8. Cole, F.: ¬The discourse of data : exploring data related vocabularies in geographic information systems description (2005) 0.04 
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  9. Crestani, F.: Combination of similarity measures for effective spoken document retrieval (2003) 0.04 
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  10. Thissen, F.: Screen-Design-Manual : Communicating Effectively Through Multimedia (2003) 0.04 
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    Date
    22. 3.2008 14:29:25
  11. Miksa, F.: ¬The DDC Relative Index (2006) 0.04 
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    Abstract
    The "Relative Index" of the Dewey Decimal Classification (DDC) is investigated over the span of its lifetime in 22 editions of the DDC as to its character as a concept indexing system, its provision of conceptual contexts for the terms it lists, and the way in which the index intersects with special tables of categories used in the system. Striking features of the index that are discussed include how the locater function of an index is expressed in it, its practice of including concepts that have not been given specific notational locations in the system, its two methods of providing conceptual contexts for indexed terms (by means of the notation of the system and by the insertion of enhancement terms that portray conceptual context), and how the index has intersected with three types of special tables of categories in the system. Critical issues raised include the indexing of constructed or synthesized complex concepts, inconsistencies in how enhancement terms are portrayed and the absence of them in some instances, the problem of equating conceptual context with disciplinary context, and problems associated with not indexing one type of special table. Summary and conclusions are extended to problems that arise in studying the index.
  12. Holley, R.P.: ¬The Répertoire de Vedettes-matière de l'Université Laval Library, 1946-92 : Francophone subject access in North America and Europe (2002) 0.04 
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    Date
    10. 9.2000 17:38:22
    Location
    F
  13. Garcia Marco, F.J.: Compatibility & heterogeneity in knowledge organization : some reflections around a case study in the field of consumer information (2008) 0.04 
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    Abstract
    A case study in compatibility and heterogeneity of knowledge organization (KO) systems and processes is presented. It is based in the experience of the author in the field of information for consumer protection, a good example of the emerging transdisciplinary applied social sciences. The activities and knowledge organization problems and solutions of the Aragonian Consumers' Information and Documentation Centre are described and analyzed. Six assertions can be concluded: a) heterogeneity and compatibility are certainly an inherent problem in knowledge organization and also in practical domains; b) knowledge organization is also a social task, not only a lögical one; c) knowledge organization is affected by economical and efficiency considerations; d) knowledge organization is at the heart of Knowledge Management; e) identifying and maintaining the focus in interdisciplinary fields is a must; f the different knowledge organization tools of a institution must be considered as an integrated system, pursuing a unifying model.
    Date
    16. 3.2008 18:22:50
  14. Thornley, C.; Gibb, F.: Meaning in philosophy and meaning in information retrieval (IR) (2009) 0.04 
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    Date
    23. 2.2009 17:22:29
  15. Ku, L.-W.; Ho, H.-W.; Chen, H.-H.: Opinion mining and relationship discovery using CopeOpi opinion analysis system (2009) 0.04 
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    Abstract
    We present CopeOpi, an opinion-analysis system, which extracts from the Web opinions about specific targets, summarizes the polarity and strength of these opinions, and tracks opinion variations over time. Objects that yield similar opinion tendencies over a certain time period may be correlated due to the latent causal events. CopeOpi discovers relationships among objects based on their opinion-tracking plots and collocations. Event bursts are detected from the tracking plots, and the strength of opinion relationships is determined by the coverage of these plots. To evaluate opinion mining, we use the NTCIR corpus annotated with opinion information at sentence and document levels. CopeOpi achieves sentence- and document-level f-measures of 62% and 74%. For relationship discovery, we collected 1.3M economics-related documents from 93 Web sources over 22 months, and analyzed collocation-based, opinion-based, and hybrid models. We consider as correlated company pairs that demonstrate similar stock-price variations, and selected these as the gold standard for evaluation. Results show that opinion-based and collocation-based models complement each other, and that integrated models perform the best. The top 25, 50, and 100 pairs discovered achieve precision rates of 1, 0.92, and 0.79, respectively.
  16. Wu, I.-C.; Liu, D.-R.; Chang, P.-C.: Learning dynamic information needs : a collaborative topic variation inspection approach (2009) 0.04 
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    Abstract
    For projects in knowledge-intensive domains, it is crucially important that knowledge management systems are able to track and infer workers' up-to-date information needs so that task-relevant information can be delivered in a timely manner. To put a worker's dynamic information needs into perspective, we propose a topic variation inspection model to facilitate the application of an implicit relevance feedback (IRF) algorithm and collaborative filtering in user modeling. The model analyzes variations in a worker's task-needs for a topic (i.e., personal topic needs) over time, monitors changes in the topics of collaborative actors, and then adjusts the worker's profile accordingly. We conducted a number of experiments to evaluate the efficacy of the model in terms of precision, recall, and F-measure. The results suggest that the proposed collaborative topic variation inspection approach can substantially improve the performance of a basic profiling method adapted from the classical RF algorithm. It can also improve the accuracy of other methods when a worker's information needs are vague or evolving, i.e., when there is a high degree of variation in the worker's topic-needs. Our findings have implications for the design of an effective collaborative information filtering and retrieval model, which is crucial for reusing an organization's knowledge assets effectively.
    Date
    2. 2.2010 19:22:51
  17. Yang, H.; King, I.; Lyu, M.R.: ¬The generalized dependency degree between attributes (2007) 0.04 
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    Abstract
    Inspired by the dependency degree g, a traditional measure in Rough Set Theory, we propose a generalized dependency degree, f, between two given sets of attributes, which counts both deterministic and indeterministic rules while g counts only deterministic rules. We first give its definition in terms of equivalence relations and then interpret it in terms of minimal rules, and further describe the algorithm for its computation. To understand f better, we investigate its various properties. We further extend f to incomplete information systems. To show its advantage, we make a comparative study with the conditional entropy and g in a number of experiments. Experimental results show that the speed of the new C4.5 using f is greatly improved when compared with the original C4.5R8 using conditional entropy, while the prediction accuracy and tree size of the new C4.5 are comparable with the original one. Moreover, f achieves better results on attribute selection than g. The study shows that the generalized dependency degree is an informative measure in decision trees and in attribute selection.
  18. Egghe, L.: Existence theorem of the quadruple (P, R, F, M) : precision, recall, fallout and miss (2007) 0.04 
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    Abstract
    In an earlier paper [Egghe, L. (2004). A universal method of information retrieval evaluation: the "missing" link M and the universal IR surface. Information Processing and Management, 40, 21-30] we showed that, given an IR system, and if P denotes precision, R recall, F fallout and M miss (re-introduced in the paper mentioned above), we have the following relationship between P, R, F and M: P/(1-P)*(1-R)/R*F/(1-F)*(1-M)/M = 1. In this paper we prove the (more difficult) converse: given any four rational numbers in the interval ]0, 1[ satisfying the above equation, then there exists an IR system such that these four numbers (in any order) are the precision, recall, fallout and miss of this IR system. As a consequence we show that any three rational numbers in ]0, 1[ represent any three measures taken from precision, recall, fallout and miss of a certain IR system. We also show that this result is also true for two numbers instead of three.
  19. Marshall, F.: COMPASS at the British Museum : tailoring cocntent for particular audiences (2001) 0.03 
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  20. Paolini, P.; Barbieri, T.; Loiudice, P.; Alonzo, F.; Zanti, M.; Gaia, G.: Visiting a museum together : how to share a visit to a virtual world (2000) 0.03 
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