Search (2731 results, page 1 of 137)

  • × year_i:[2000 TO 2010}
  1. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.05 
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    Date
    29. 8.2009 21:15:48
    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  2. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.05 
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  3. Tochtermann, K.; Granitzer, M.: Wissenserschließung : Pfade durch den digitalen Informationsdschungel (2005) 0.04 
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    Date
    5.11.2005 19:18:22
    Source
    Wissensmanagement. 7(2005) H.5, S.26-29
  4. Dempsey, L.: ¬The subject gateway : experiences and issues based on the emergence of the Resource Discovery Network (2000) 0.04 
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    Abstract
    Charts the history and development of the UK's Resource Discovery Network, which brings together under a common business, technical and service framework a range of subject gateways and other services for the academic and research community. Considers its future relationship to other services, and position within the information ecology
    Date
    22. 6.2002 19:36:13
    Object
    Resource Discovery Network
  5. Herrmann, C.: Partikulare Konkretion universal zugänglicher Information : Beobachtungen zur Konzeptionierung fachlicher Internet-Seiten am Beispiel der Theologie (2000) 0.04 
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    Date
    22. 1.2000 19:29:08
  6. Weinberg, B.H.: Book indexes in France : medieval specimens and modern practices (2000) 0.04 
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    Date
    20. 4.2002 19:29:54
    Source
    Indexer. 22(2000) no.1, S.2-13
  7. Mauer, P.: Embedded indexing : pros and cons for the indexer (2000) 0.04 
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    Date
    21. 4.2002 9:29:38
    Source
    Indexer. 22(2000) no.1, S.27-28
  8. Sauer, D.: Alles schneller finden (2001) 0.03 
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    Date
    1. 8.1997 14:03:29
    11.11.2001 17:25:22
    Source
    Com!online. 2001, H.12, S.24-29
  9. Dirks, H.: Lernen im Internet oder mit Gedrucktem? : Eine Untersuchung zeigt: Fernunterrichts-Teilnehmer wollen beides! (2002) 0.03 
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    Date
    29. 1.1997 18:49:05
    11. 8.2002 15:05:22
  10. Ruskai, M.B.: Response to Graham : the quantum view (2001) 0.03 
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    Footnote
    Erwiderung auf: Graham, L.R.: Do mathematical equations display social attributes? in: Mathematical intelligencer 22(2000) no.3, S.31-36
    Source
    Mathematical intelligencer. 23(2001) no.1, S.23-29
  11. Lim, E.: Southeast Asian subject gateways : an examination of their classification practices (2000) 0.03 
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    Date
    22. 6.2002 19:42:47
    Source
    International cataloguing and bibliographic control. 29(2000) no.3, S.45-48
  12. Parent, I.: International and national cataloguing rules : current situation and future trends, Moscow, 20-24 April 1999 (2000) 0.03 
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    Date
    11. 8.2001 17:22:42
    Source
    International cataloguing and bibliographic control. 29(2000) no.1, S.9-12
  13. Wissen in Aktion : Wege des Knowledge Managements, 22. Online-Tagung der DGI 2000 / Frankfurt am Main, 2. bis 4. Mai 2000: Proceedings (2000) 0.03 
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    Date
    2.10.2006 12:29:24
  14. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.03 
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  15. Hu, D.; Kaza, S.; Chen, H.: Identifying significant facilitators of dark network evolution (2009) 0.03 
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    Abstract
    Social networks evolve over time with the addition and removal of nodes and links to survive and thrive in their environments. Previous studies have shown that the link-formation process in such networks is influenced by a set of facilitators. However, there have been few empirical evaluations to determine the important facilitators. In a research partnership with law enforcement agencies, we used dynamic social-network analysis methods to examine several plausible facilitators of co-offending relationships in a large-scale narcotics network consisting of individuals and vehicles. Multivariate Cox regression and a two-proportion z-test on cyclic and focal closures of the network showed that mutual acquaintance and vehicle affiliations were significant facilitators for the network under study. We also found that homophily with respect to age, race, and gender were not good predictors of future link formation in these networks. Moreover, we examined the social causes and policy implications for the significance and insignificance of various facilitators including common jails on future co-offending. These findings provide important insights into the link-formation processes and the resilience of social networks. In addition, they can be used to aid in the prediction of future links. The methods described can also help in understanding the driving forces behind the formation and evolution of social networks facilitated by mobile and Web technologies.
    Date
    22. 3.2009 18:50:30
  16. Campos, L.M. de; Fernández-Luna, J.M.; Huete, J.F.: Implementing relevance feedback in the Bayesian network retrieval model (2003) 0.03 
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    Abstract
    Relevance Feedback consists in automatically formulating a new query according to the relevance judgments provided by the user after evaluating a set of retrieved documents. In this article, we introduce several relevance feedback methods for the Bayesian Network Retrieval ModeL The theoretical frame an which our methods are based uses the concept of partial evidences, which summarize the new pieces of information gathered after evaluating the results obtained by the original query. These partial evidences are inserted into the underlying Bayesian network and a new inference process (probabilities propagation) is run to compute the posterior relevance probabilities of the documents in the collection given the new query. The quality of the proposed methods is tested using a preliminary experimentation with different standard document collections.
    Date
    22. 3.2003 19:30:19
  17. Calegari, S.; Sanchez, E.: Object-fuzzy concept network : an enrichment of ontologies in semantic information retrieval (2008) 0.03 
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    Abstract
    This article shows how a fuzzy ontology-based approach can improve semantic documents retrieval. After formally defining a fuzzy ontology and a fuzzy knowledge base, a special type of new fuzzy relationship called (semantic) correlation, which links the concepts or entities in a fuzzy ontology, is discussed. These correlations, first assigned by experts, are updated after querying or when a document has been inserted into a database. Moreover, in order to define a dynamic knowledge of a domain adapting itself to the context, it is shown how to handle a tradeoff between the correct definition of an object, taken in the ontology structure, and the actual meaning assigned by individuals. The notion of a fuzzy concept network is extended, incorporating database objects so that entities and documents can similarly be represented in the network. Information retrieval (IR) algorithm, using an object-fuzzy concept network (O-FCN), is introduced and described. This algorithm allows us to derive a unique path among the entities involved in the query to obtain maxima semantic associations in the knowledge domain. Finally, the study has been validated by querying a database using fuzzy recall, fuzzy precision, and coefficient variant measures in the crisp and fuzzy cases.
    Date
    9.11.2008 13:07:29
  18. Veinot, T.C.: Interactive acquisition and sharing : understanding the dynamics of HIV/AIDS information networks (2009) 0.03 
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    Abstract
    HIV/AIDS information is an important resource for people affected by the disease, particularly information that they obtain from other people. Although existing studies reveal that people with HIV/AIDS (PHAs) rely extensively on personal relationships for HIV/AIDS information, they explain little about how this happens as a social process. To investigate how PHAs and their friends/family members acquire and share network-mediated HIV/AIDS information, semistructured, in-depth interviews were conducted in three rural regions of Canada. Interviews were carried out with 114 PHAs, their friends/family members, and health care and service providers. A network solicitation and chain-referral recruitment procedure was used to delineate HIV/AIDS information networks for participants. Interview data were analyzed qualitatively and compared to Haythornthwaite's ([1996]) concepts of network-mediated information processes and Talja and Hansen's ([2006]) collaborative information behavior framework. Findings revealed that participants obtained HIV/AIDS information from their networks through five interactive processes: joint seeking, tag-team seeking, exposure, opportunity, and legitimation. The results of this study advance information behavior theory by pointing to the interactive character of information behavior and introducing new concepts to describe everyday life collaborative information behavior. This research also demonstrates the extensive interplay between health information exchange and the sharing of emotional support. The insights emanating from this study suggest that health information practice might benefit from a focus on program strategies such as building information network capacity, developing collaborative information retrieval systems and relationship-building, in addition to the more traditional library-related concerns of reference encounters, collections, and institutional Web sites.
    Date
    5.11.2009 20:30:29
  19. Shibata, N.; Kajikawa, Y.; Takeda, Y.; Matsushima, K.: Comparative study on methods of detecting research fronts using different types of citation (2009) 0.03 
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    Abstract
    In this article, we performed a comparative study to investigate the performance of methods for detecting emerging research fronts. Three types of citation network, co-citation, bibliographic coupling, and direct citation, were tested in three research domains, gallium nitride (GaN), complex network (CNW), and carbon nanotube (CNT). Three types of citation network were constructed for each research domain, and the papers in those domains were divided into clusters to detect the research front. We evaluated the performance of each type of citation network in detecting a research front by using the following measures of papers in the cluster: visibility, measured by normalized cluster size, speed, measured by average publication year, and topological relevance, measured by density. Direct citation, which could detect large and young emerging clusters earlier, shows the best performance in detecting a research front, and co-citation shows the worst. Additionally, in direct citation networks, the clustering coefficient was the largest, which suggests that the content similarity of papers connected by direct citations is the greatest and that direct citation networks have the least risk of missing emerging research domains because core papers are included in the largest component.
    Date
    22. 3.2009 17:52:50
  20. Mining the metadata quarries : Special section (2003) 0.03 
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    Content
    Einleitung zu den Beiträgen: GUENTHER, R. et al.: New metadata standards for digital resources: MODS and METS; GREENBERG, J.: Metadata generation: processes, people and tools; TENNIS, J.T.: Data collection for controlled vocabulary interoperability: Dublin Core audience element; JUN, W.: A knowledge network constructed by integrating classification, thesaurs and metadata in a digital library
    Source
    Bulletin of the American Society for Information Science. 29(2003) no.2, S.11-28

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