Search (1272 results, page 1 of 64)

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  • × year_i:[2010 TO 2020}
  1. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.11
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  2. Rekabsaz, N. et al.: Toward optimized multimodal concept indexing (2016) 0.10
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    Date
    1. 2.2016 18:25:22
    Source
    Semantic keyword-based search on structured data sources: First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers. Eds.: J. Cardoso et al
  3. Platis, N. et al.: Visualization of uncertainty in tag clouds (2016) 0.10
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    Date
    1. 2.2016 18:25:22
    Source
    Semantic keyword-based search on structured data sources: First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers. Eds.: J. Cardoso et al
  4. Huang, M.; Barbour, J.; Su, C.; Contractor, N.: Why do group members provide information to digital knowledge repositories? : a multilevel application of transactive memory theory (2013) 0.08
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    Abstract
    The proliferation of digital knowledge repositories (DKRs) used for distributed and collocated work raises important questions about how to manage these technologies. This study investigates why individuals contribute information to DKRs by applying and extending transactive memory theory. Data from knowledge workers (N = 208) nested in work groups (J = 17) located in Europe and the United States revealed, consistent with transactive memory theory, that perceptions of experts' retrieval of information were positively related to the likelihood of information provision to DKRs. The relationship between experts' perceptions of retrieval and information provision varied from group to group, and cross-level interactions indicated that trust in how the information would be used and the interdependence of tasks within groups could explain that variation. Furthermore, information provision to DKRs was related to communication networks in ways consistent with theorizing regarding the formation of transactive memory systems. Implications for theory and practice are discussed, emphasizing the utility of multilevel approaches for conceptualizing and modeling why individuals provide information to DKRs.
    Date
    22. 3.2013 19:39:00
  5. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.06
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  6. Crespo, J.A.; Herranz, N.; Li, Y.; Ruiz-Castillo, J.: ¬The effect on citation inequality of differences in citation practices at the web of science subject category level (2014) 0.06
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    Abstract
    This article studies the impact of differences in citation practices at the subfield, or Web of Science subject category level, using the model introduced in Crespo, Li, and Ruiz-Castillo (2013a), according to which the number of citations received by an article depends on its underlying scientific influence and the field to which it belongs. We use the same Thomson Reuters data set of about 4.4 million articles used in Crespo et al. (2013a) to analyze 22 broad fields. The main results are the following: First, when the classification system goes from 22 fields to 219 subfields the effect on citation inequality of differences in citation practices increases from ?14% at the field level to 18% at the subfield level. Second, we estimate a set of exchange rates (ERs) over a wide [660, 978] citation quantile interval to express the citation counts of articles into the equivalent counts in the all-sciences case. In the fractional case, for example, we find that in 187 of 219 subfields the ERs are reliable in the sense that the coefficient of variation is smaller than or equal to 0.10. Third, in the fractional case the normalization of the raw data using the ERs (or subfield mean citations) as normalization factors reduces the importance of the differences in citation practices from 18% to 3.8% (3.4%) of overall citation inequality. Fourth, the results in the fractional case are essentially replicated when we adopt a multiplicative approach.
  7. Simons, N.; Solland, A.; Hettenhausen, J.: Griffith Research Hub (2015) 0.06
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  8. Bronstein, J.; Gazit, T.; Perez, O.; Bar-Ilan, J.; Aharony, N.; Amichai-Hamburger, Y.: ¬An examination of the factors contributing to participation in online social platforms (2016) 0.06
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    Date
    20. 1.2015 18:30:22
  9. Grudin, J.: Human-computer interaction (2011) 0.05
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    Date
    27.12.2014 18:54:22
  10. Westerman, S.J.; Cribbin, T.; Collins, J.: Human assessments of document similarity (2010) 0.05
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    Abstract
    Two studies are reported that examined the reliability of human assessments of document similarity and the association between human ratings and the results of n-gram automatic text analysis (ATA). Human interassessor reliability (IAR) was moderate to poor. However, correlations between average human ratings and n-gram solutions were strong. The average correlation between ATA and individual human solutions was greater than IAR. N-gram length influenced the strength of association, but optimum string length depended on the nature of the text (technical vs. nontechnical). We conclude that the methodology applied in previous studies may have led to overoptimistic views on human reliability, but that an optimal n-gram solution can provide a good approximation of the average human assessment of document similarity, a result that has important implications for future development of document visualization systems.
    Object
    n-grams
  11. Paul-Hus, A.; Desrochers, N.; Rijcke, S.de; Rushforth, A.D.: ¬The reward system of science (2017) 0.05
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    Date
    20. 1.2015 18:30:22
  12. Ford, N.: Introduction to information behaviour (2015) 0.05
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    Date
    22. 1.2017 16:45:48
  13. Ménard, E.; Khashman, N.; Kochkina, S.; Torres-Moreno, J.-M.; Velazquez-Morales, P.; Zhou, F.; Jourlin, P.; Rawat, P.; Peinl, P.; Linhares Pontes, E.; Brunetti., I.: ¬A second life for TIIARA : from bilingual to multilingual! (2016) 0.05
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    Source
    Knowledge organization. 43(2016) no.1, S.22-34
  14. Hamari, J.; Sjöklint, M.; Ukkonen, A.: ¬The sharing economy : why people participate in collaborative consumption (2016) 0.05
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    Abstract
    Information and communications technologies (ICTs) have enabled the rise of so-called "Collaborative Consumption" (CC): the peer-to-peer-based activity of obtaining, giving, or sharing the access to goods and services, coordinated through community-based online services. CC has been expected to alleviate societal problems such as hyper-consumption, pollution, and poverty by lowering the cost of economic coordination within communities. However, beyond anecdotal evidence, there is a dearth of understanding why people participate in CC. Therefore, in this article we investigate people's motivations to participate in CC. The study employs survey data (N?=?168) gathered from people registered onto a CC site. The results show that participation in CC is motivated by many factors such as its sustainability, enjoyment of the activity as well as economic gains. An interesting detail in the result is that sustainability is not directly associated with participation unless it is at the same time also associated with positive attitudes towards CC. This suggests that sustainability might only be an important factor for those people for whom ecological consumption is important. Furthermore, the results suggest that in CC an attitude-behavior gap might exist; people perceive the activity positively and say good things about it, but this good attitude does not necessary translate into action.
    Date
    22. 8.2016 19:01:54
  15. Karlsson, A.; Hammarfelt, B.; Steinhauer, H.J.; Falkman, G.; Olson, N.; Nelhans, G.; Nolin, J.: Modeling uncertainty in bibliometrics and information retrieval : an information fusion approach (2015) 0.05
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  16. Pluye, P.; Grad, R.; Repchinsky, C.; Jovaisas, B.; Johnson-Lafleur, J.; Carrier, M.-E.; Granikov, V.; Farrell, B.; Rodriguez, C.; Bartlett, G.; Loiselle, C.; Légaré, F.: Four levels of outcomes of information-seeking : a mixed methods study in primary health care (2013) 0.04
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    Abstract
    Primary health care practitioners routinely search for information within electronic knowledge resources. We proposed four levels of outcomes of information-seeking: situational relevance, cognitive impact, information use, and patient health outcomes. Our objective was to produce clinical vignettes for describing and testing these levels. We conducted a mixed methods study combining a quantitative longitudinal study and a qualitative multiple case study. Participants were 10 nurses, 10 medical residents, and 10 pharmacists. They had access to an online resource, and did 793 searches for treatment recommendations. Using the Information Assessment Method (IAM), participants rated their searches for each of the four levels. Rated searches were examined in interviews guided by log reports and a think-aloud protocol. Cases were defined as clearly described searches where clinical information was used for a specific patient. For each case, interviewees described the four levels of outcomes. Quantitative and qualitative data were merged into clinical vignettes. We produced 130 clinical vignettes. Specifically, 46 vignettes (35.4%) corresponded to clinical situations where information use was associated with one or more than one type of positive patient health outcome: increased patient knowledge (n = 28), avoidance of unnecessary or inappropriate intervention (n = 25), prevention of disease or health deterioration (n = 9), health improvement (n = 6), and increased patient satisfaction (n = 3). Results suggested information use was associated with perceived benefits for patients. This may encourage clinicians to search for information more often when they feel the need. Results supported the four proposed levels of outcomes, which can be transferable to other information-seeking contexts.
  17. Griesbaum, J.; Mahrholz, N.; Kiedrowski, K. von Löwe; Rittberger, M.: Knowledge generation in online forums : a case study in the German educational domain (2015) 0.04
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    Date
    20. 1.2015 18:30:22
  18. Torres-Salinas, D.; Gorraiz, J.; Robinson-Garcia, N.: ¬The insoluble problems of books : what does Altmetric.com have to offer? (2018) 0.04
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    Date
    20. 1.2015 18:30:22
  19. Calì, A. et al.: Processing keyword queries under access limitations (2016) 0.04
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    Date
    1. 2.2016 18:25:22
    Source
    Semantic keyword-based search on structured data sources: First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers. Eds.: J. Cardoso et al
  20. HaCohen-Kerner, Y. et al.: Classification using various machine learning methods and combinations of key-phrases and visual features (2016) 0.04
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    Date
    1. 2.2016 18:25:22
    Source
    Semantic keyword-based search on structured data sources: First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers. Eds.: J. Cardoso et al

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