1,720,993 research outputs found
A Domain Meta-wrapper Using Seeds for Intelligent Author List Extraction in the Domain of Scholarly Articles
No full textIn this paper we investigate about automated extraction of author lists in the domain of scientific digital libraries. It is given a list of known “seed” authors and we aim to extract complete lists of co-authors from Web pages in arbitrary format. We adopt a methodology embedding domain knowledge in a unique “meta-wrapper”, not requiring training, with negligible maintenance costs and based on the combination of several extraction techniques. Such methods are applied at the structural level, at the character level and at the annotation level. We describe the methodology, illustrate our tool, compare with known approaches and measure the accuracy of our techniques with proper experiments
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
AI and videogames: a “drosophila” for declarative methods
No full textVideogames and research in artificial intelligence (AI) techniques share a fruitful past of reciprocal knowledge exchange. On the one hand, videogames offer unsolved challenges to the academy: these challenges are as hard as those offered by what we can call “serious” applications, yet they can be faced in a controlled and reproducible setting. This characteristic makes videogames a kind of advanced “drosophila” for the researcher in AI: they are the ideal controlled ground in which to invent, experiment, and test new AI paradigms, methodologies and techniques. It is not uncommon to resort to simulated game environments as lesser expensive, yet comparably complex, digital twins. On the other hand, the videogame industry (VI) itself is exemplary of typical demands that AI research cannot meet yet. The VI looks for reduced development costs, better integration with AI tools and real-time performance. Especially, knowledge transfer between developers and AI tools must be as fast and smooth as possible: this is one of the reasons why the machine learning (ML) revolution had so far a controversial reception in the VI, in that ML provides black-box AI modules which are not easily “tunable” and configurable at will, and have non-negligible design-time costs. In order to overcome the above limits, one can consider declarative knowledge representation techniques (DKR). However, some of the shortcomings of DKR methods are fairly challenging to be addressed: performance, ease of use, integration, mining of reusable deductive knowledge are not up to the par yet. All these limitations prevent the real adoption of declarative paradigms in many highly-demanding applicative settings of which the videogame development field is an exemplary generalized testbed. Narrowing the above gaps is nontrivial challenge. In this paper we identify some of the key issues which we deem important for the research community and outline our current research progress
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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