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  • × year_i:[2010 TO 2020}
  1. Hajibayova, L.; Jacob, E.K.: Investigation of levels of abstraction in user-generated tagging vocabularies : a case of wild or tamed categorization? (2014) 0.18 
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    Abstract
    Previous studies of user-generated vocabularies (e.g., Golder & Huberman, 2006; Munk & Mork, 2007b; Yoon, 2009) have proposed that a primary source of tag agreement across users is due to wide-spread use of tags at the basic level of abstraction. However, an investigation of levels of abstraction in user-generated tagging vocabularies did not support this notion. This study analyzed approximately 8000 tags generated by 40 subjects. Analysis of 7617 tags assigned to 36 online resources representing four content categories (TOOL, FRUIT, CLOTHING, VEHICLE) and three resource genres (news article, blog, ecommerce) did not find statistically significant preferences in the assignment of tags at the superordinate, subordinate or basic levels of abstraction. Within the framework of Heidegger's (1953/1996) notion of handiness , observed variations in the preferred level of abstraction are both natural and phenomenological in that perception and understanding -- and thus the meaning of "things" -- arise out of the individual's contextualized experiences of engaging with objects. Operationalization of superordinate, subordinate and basic levels of abstraction using Heidegger's notion of handiness may be able to account for differences in the everyday experiences and activities of taggers, thereby leading to a better understanding of user-generated tagging vocabularies.
    Date
    5. 9.2014 16:22:27
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  2. Wolchover, N.: Wie ein Aufsehen erregender Beweis kaum Beachtung fand (2017) 0.15 
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    Date
    22. 4.2017 10:42:05
    22. 4.2017 10:48:38
    Source
    http://www.spektrum.de/news/mathematischer-beweis-ueber-mehrdimensionale-normalverteilungen-gefunden/1450623
  3. Häring, N.; Hensinger, P.: "Digitale Bildung" : Der abschüssige Weg zur Konditionierungsanstalt (2019) 0.13 
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    Date
    22. 2.2019 11:45:19
    Source
    http://norberthaering.de/de/27-german/news/1100-digitale-bildung
  4. Dick, S.J.: Astronomy's Three Kingdom System : a comprehensive classification system of celestial objects (2019) 0.12 
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    Abstract
    Although classification has been an important aspect of astronomy since stellar spectroscopy in the late nineteenth century, to date no comprehensive classification system has existed for all classes of objects in the universe. Here we present such a system, and lay out its foundational definitions and principles. The system consists of the "Three Kingdoms" of planets, stars and galaxies, eighteen families, and eighty-two classes of objects. Gravitation is the defining organizing principle for the families and classes, and the physical nature of the objects is the defining characteristic of the classes. The system should prove useful for both scientific and pedagogical purposes.
    Date
    21.11.2019 18:46:22
  5. Andrade, T.C.; Dodebei, V.: Traces of digitized newspapers and bom-digital news sites : a trail to the memory on the internet (2016) 0.11 
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    Date
    19. 1.2019 17:42:22
  6. Holetschek, J. et al.: Natural history in Europeana : accessing scientific collection objects via LOD (2016) 0.10 
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  7. epd: Kaiserslauterer Forscher untersuchen Google-Suche (2017) 0.10 
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    Content
    "Bei der Suche nach Politikern und Parteien über Suchmaschinen wie Google spielt Personalisierung einem Forschungsprojekt zufolge eine geringere Rolle als bisher angenommen. Bei der Eingabe von Politikernamen erhalten verschiedene Nutzer größtenteils die gleichen Ergebnisse angezeigt, lautet ein gestern veröffentlichtes Zwischenergebnis einer Analyse im Auftrag der Landesmedienanstalten. Die Ergebnisse stammen aus dem Forschungsprojekt "#Datenspende: Google und die Bundestagswahl2017" der Initiative AIgorithmWatch und der Technischen Universität Kaiserslautern. Im Durchschnitt erhalten zwei unterschiedliche Nutzer demnach bei insgesamt neun Suchergebnissen sieben bis acht identische Treffer, wenn sie mit Google nach Spitzenkandidaten der Parteien im Bundestagswahlkampf suchen. Die Suchergebnisse zu Parteien unterscheiden sich allerdings stärker. Bei neun Suchanfragen gebe es hier nur fünf bis sechs gemeinsame Suchergebnisse, fanden die Wissenschaftler heraus. Die Informatikprofessorin Katharina Zweig von der TU Kaiserslautern zeigte sich überrascht, dass die Suchergebisse verschiedener Nutzer sich so wenig unterscheiden. "Das könnte allerdings morgen schon wieder anders aussehen", warnte sie, Die Studie beweise erstmals, dass es grundsätzlich möglich sei, Algorithmen von Intermediären wie Suchmaschinen im Verdachtsfall nachvollziehbar zu machen. Den Ergebnissen zufolge gibt es immer wieder kleine Nutzergruppen mit stark abweichenden Ergebnislisten. Eine abschließende, inhaltliche Bewertung stehe noch aus. Für das Projekt haben nach Angaben der Medienanstalt bisher fast 4000 freiwillige Nutzer ein von den Forschern programmiertes Plug-ln auf ihrem Computer- installiert. Bisher seien damitdrei Millionen gespendete Datensätze gespeichert worden. Das Projekt wird finanziert von den Landesmedienanstalten Bayern, Berlin-Brandenburg, Hessen, Rheinland-Pfalz, Saarland und Sachsen." Vgl. auch: https://www.swr.de/swraktuell/rp/kaiserslautern/forschung-in-kaiserslautern-beeinflusst-google-die-bundestagswahl/-/id=1632/did=20110680/nid=1632/1mohmie/index.html. https://www.uni-kl.de/aktuelles/news/news/detail/News/aufruf-zur-datenspende-welche-nachrichten-zeigt-die-suchmaschine-google-zur-bundestagswahl-an/.
    Date
    22. 7.2004 9:42:33
  8. Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011) 0.10 
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    Content
    Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
  9. Benoit, G.; Hussey, L.: Repurposing digital objects : case studies across the publishing industry (2011) 0.09 
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    Abstract
    Large, data-rich organizations have tremendously large collections of digital objects to be "repurposed," to respond quickly and economically to publishing, marketing, and information needs. Some management typically assume that a content management system, or some other technique such as OWL and RDF, will automatically address the workflow and technical issues associated with this reuse. Four case studies show that the sources of some roadblocks to agile repurposing are as much managerial and organizational as they are technical in nature. The review concludes with suggestions on how digital object repurposing can be integrated given these organizations' structures.
    Date
    22. 1.2011 14:23:07
  10. Hills, T.; Segev, E.: ¬The news is American but our memories are - Chinese? (2014) 0.09 
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    Abstract
    Are our memories of the world well described by the international news coverage in our country? If so, sources central to international news may also be central to international recall patterns; in particular, they may reflect an American-centric focus, given the previously proposed central U.S. position in the news marketplace. We asked people of four different nationalities (China, Israel, Switzerland, and the United States) to list all the countries they could name. We also constructed a network representation of the world for each nation based on the co-occurrence pattern of countries in the news. To compare news and memories, we developed a computational model that predicts the recall order of countries based on the news networks. Consistent with previous reports, the U.S. news was central to the news networks overall. However, although national recall patterns reflected their corresponding national news sources, the Chinese news was substantially better than other national news sources at predicting both individual and aggregate memories across nations. Our results suggest that news and memories are related but may also reflect biases in the way information is transferred to long-term memory, potentially biased against the transient coverage of more "free" presses. We discuss possible explanations for this "Chinese news effect" in relation to prominent cognitive and communications theories.
  11. Costas, R.; Zahedi, Z.; Wouters, P.: ¬The thematic orientation of publications mentioned on social media : large-scale disciplinary comparison of social media metrics with citations (2015) 0.08 
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    Abstract
    Purpose - The purpose of this paper is to analyze the disciplinary orientation of scientific publications that were mentioned on different social media platforms, focussing on their differences and similarities with citation counts. Design/methodology/approach - Social media metrics and readership counts, associated with 500,216 publications and their citation data from the Web of Science database, were collected from Altmetric.com and Mendeley. Results are presented through descriptive statistical analyses together with science maps generated with VOSviewer. Findings - The results confirm Mendeley as the most prevalent social media source with similar characteristics to citations in their distribution across fields and their density in average values per publication. The humanities, natural sciences, and engineering disciplines have a much lower presence of social media metrics. Twitter has a stronger focus on general medicine and social sciences. Other sources (blog, Facebook, Google+, and news media mentions) are more prominent in regards to multidisciplinary journals. Originality/value - This paper reinforces the relevance of Mendeley as a social media source for analytical purposes from a disciplinary perspective, being particularly relevant for the social sciences (together with Twitter). Key implications for the use of social media metrics on the evaluation of research performance (e.g. the concentration of some social media metrics, such as blogs, news items, etc., around multidisciplinary journals) are identified.
    Date
    20. 1.2015 18:30:22
  12. Arapakis, I.; Cambazoglu, B.B.; Lalmas, M.: On the feasibility of predicting popular news at cold start (2017) 0.08 
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    Abstract
    Prominent news sites on the web provide hundreds of news articles daily. The abundance of news content competing to attract online attention, coupled with the manual effort involved in article selection, necessitates the timely prediction of future popularity of these news articles. The future popularity of a news article can be estimated using signals indicating the article's penetration in social media (e.g., number of tweets) in addition to traditional web analytics (e.g., number of page views). In practice, it is important to make such estimations as early as possible, preferably before the article is made available on the news site (i.e., at cold start). In this paper we perform a study on cold-start news popularity prediction using a collection of 13,319 news articles obtained from Yahoo News, a major news provider. We characterize the popularity of news articles through a set of online metrics and try to predict their values across time using machine learning techniques on a large collection of features obtained from various sources. Our findings indicate that predicting news popularity at cold start is a difficult task, contrary to the findings of a prior work on the same topic. Most articles' popularity may not be accurately anticipated solely on the basis of content features, without having the early-stage popularity values.
  13. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.08 
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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
  14. Sela, M.; Lavie, T.; Inbar, O.; Oppenheim, I.; Meyer, J.: Personalizing news content : an experimental study (2015) 0.08 
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    Abstract
    The delivery of personalized news content depends on the ability to predict user interests. We evaluated different methods for acquiring user profiles based on declared and actual interest in various news topics and items. In an experiment, 36 students rated their interest in six news topics and in specific news items and read on 6 days standard, nonpersonalized editions and personalized (basic or adaptive) news editions. We measured subjective satisfaction with the editions and expressed preferences, along with objective measures, to infer actual interest in items. Users' declared interest in news topics did not strongly predict their actual interest in specific news items. Satisfaction with all news editions was high, but participants preferred the personalized editions. User interest was weakly correlated with reading duration, article length, and reading order. Different measures predicted interest in different news topics. Explicit measures predicted interest in relatively clearly defined topics such as sports, but were less appropriate for broader topics such as science and technology. Our results indicate that explicit and implicit methods should be combined to generate user profiles. We suggest that a personalized newspaper should contain both general information and personalized items, selected based on specific combinations of measures for each of the different news topics. Based on the findings, we present a general model to decide on the personalization of news content to generate personalized editions for readers.
  15. Überarbeitete KAB als Wiki : Version 2017 - jetzt online (2017) 0.08 
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    Series
    ekz-Dozenten-News
    Source
    http://www.ekz.de/unternehmen/aktuelles/news/news-artikel/ueberarbeitete-kab-als-wiki-version-2017-jetzt-online/?tx_news_pi1[day]=11&tx_news_pi1[month]=1&tx_news_pi1[year]=2017&cHash=d6c2ad802fd0a42d1e2c1654f51f29d8
  16. Ridenour, L.: Boundary objects : measuring gaps and overlap between research areas (2016) 0.08 
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    Abstract
    The aim of this paper is to develop methodology to determine conceptual overlap between research areas. It investigates patterns of terminology usage in scientific abstracts as boundary objects between research specialties. Research specialties were determined by high-level classifications assigned by Thomson Reuters in their Essential Science Indicators file, which provided a strictly hierarchical classification of journals into 22 categories. Results from the query "network theory" were downloaded from the Web of Science. From this file, two top-level groups, economics and social sciences, were selected and topically analyzed to provide a baseline of similarity on which to run an informetric analysis. The Places & Spaces Map of Science (Klavans and Boyack 2007) was used to determine the proximity of disciplines to one another in order to select the two disciplines use in the analysis. Groups analyzed share common theories and goals; however, groups used different language to describe their research. It was found that 61% of term words were shared between the two groups.
  17. Ortega, C.D.: Conceptual and procedural grounding of documentary systems (2012) 0.07 
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    Abstract
    Documentary activities are informational operations of selection and representation of objects made from their features and predictable use. In order to make them more dynamic, these activities are carried out systemically, according to institutionally limited (in the sense of social institution) information projects. This organic approach leads to the constitution of information systems, or, more specifically, systems of documentary information, inasmuch as they refer to actions about documents as objects from which information is produced. Thus, systems of documentary information are called documentary systems. This article aims to list and systematize elements with the potential to a generalizing and categorical approach of documentary systems. We approach the systems according to: elements of reference (the documents and their information, the users, and the institutional context); constitutive elements (collection and references); structural elements (constituent units and the relation among them); modes of production (pre or post representation of the document); management aspects (flow of documents and of their information); and, finally, typology (management systems and information retrieval systems). Thus, documentary systems can be considered products due to operations involving objects institutionally limited for the production of collections (virtual or not) and their references, whose objective is the appropriation of information by the user.
    Content
    Beitrag einer Section "Selected Papers from the 1ST Brazilian Conference on Knowledge Organization And Representation, Faculdade de Ciência da Informação, Campus Universitário Darcy Ribeiro Brasília, DF Brasil, October 20-22, 2011" Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_39_2012_3_h.pdf.
  18. Dupont, J.: Falsch! (2017) 0.07 
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    Abstract
    Mit erfundenen Meldungen lässt sich im Internet viel Geld und politisch Stimmung machen. Wie kann man sie erkennen? Ein Beitrag zum Thema Fake News. Fazit: "Ein Rezept, mit dem man Fake News erkennt, gibt es noch nicht. Bader und Rinsdorf sind aber auf der Suche danach. Im Moment analysieren sie Tausende Fake News auf auffällige Textmerkmale. Anschließend sollen Algorithmen programmiert werden, die in Sekundenschnelle erkennen, mit welcher Wahrscheinlichkeit es sich um eine gefälschte Nachricht handelt. Bader und Rinsdorf: "Wer die Nachrichtenvielfalt nutzt, sich breit informiert und Informationen im Netz mit einer gewissen Grundskepsis begegnet, kann Fake News schneller durchschauen.""
  19. Perugini, S.: Supporting multiple paths to objects in information hierarchies : faceted classification, faceted search, and symbolic links (2010) 0.07 
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    Source
    Information processing and management. 46(2010) no.1, S.22-43
  20. Madalli, D.P.; Balaji, B.P.; Sarangi, A.K.: Music domain analysis for building faceted ontological representation (2014) 0.07 
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    Abstract
    This paper describes to construct faceted ontologies for domain modeling. Building upon the faceted theory of S.R. Ranganathan (1967), the paper intends to address the faceted classification approach applied to build domain ontologies. As classificatory ontologies are employed to represent the relationships of entities and objects on the web, the faceted approach helps to analyze domain representation in an effective way for modeling. Based on this perspective, an ontology of the music domain has been analyzed that would serve as a case study.
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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