1,721,024 research outputs found

    Interview de Mathieu d'Aquin 26-09_2014

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    Je remercie Mathieu d'Aquin, chercheur au Knowledge Media Institute pour l'interview. Ses recherches portent principalement sur le web sémantique. Il a également travaillé sur le suivi et la gestion des renseignements personnels en ligne. Il participe activement aux projets liés à l'éducation, notamment avec l'Open University.  C'est pourquoi, j'ai choisi cinq questions liées à la formation à distance et plus particulièrement aux MOOCs (Massive Open Online Courses). Question 1 J’ai vu que vo..

    A thin-server approach to ephemeral Web personalization exploiting RDF data embedded in Web pages

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    Over the last years adaptive Web personalization has become a widespread service and all the major players of the WWW are providing it in various forms. Ephemeral personalization, in particular, deals with short time interests which are often tacitly entailed from user browsing behaviour or contextual information. Such personalization can be found almost anywhere in the Web in several forms, ranging from targeting advertising to automatic language localisation of content. In order to present personalized content a user model is typically built and maintained at server-side by collecting, explicitly or implicitly, user data. In the case of ephemeral personalization this means storing at server-side a huge amount of user behaviour data, which raises severe privacy concerns. The evolution of the semantic Web and the growing availability of semantic metadata embedded in Web pages allow a role reversal in the traditional personalization scenario. In this paper we present a novel approach towards ephemeral Web personalization consisting in a client-side semantic user model built by aggregating RDF data encountered by the user in his/her browsing activity and enriching them with triples extracted from DBpedia. Such user model is then queried by a server application via SPARQL to identify a user stereotype and finally address personalized content

    Photo Archives in Linked Open Data - The Federico Zeri's Archive Case Study

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    Art historical photo archives that want to expose their data in Linked Open Data need to rely on shareable models. Merging possibly contradictory information may affect data reliability. In this paper are introduced two ontologies, i.e. F Entry Ontology and OA Entry Ontology, which provide a complete description of items related to Photography and Arts domains and address the description of questionable information provided by different institutions. A preliminary analysis of the Zeriâs photo archive was performed for guiding the creation of the ontologies and the mapping of all the partnersâ metadata schemas

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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