678 research outputs found
Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project
Database Management; Artificial Intelligence (incl. Robotics); Information Systems and Communication Servic
Highlighting Entanglement of Cultures via Ranking of Multilingual Wikipedia Articles
How different cultures evaluate a person? Is an important person in one
culture is also important in the other culture? We address these questions via
ranking of multilingual Wikipedia articles. With three ranking algorithms based
on network structure of Wikipedia, we assign ranking to all articles in 9
multilingual editions of Wikipedia and investigate general ranking structure of
PageRank, CheiRank and 2DRank. In particular, we focus on articles related to
persons, identify top 30 persons for each rank among different editions and
analyze distinctions of their distributions over activity fields such as
politics, art, science, religion, sport for each edition. We find that local
heroes are dominant but also global heroes exist and create an effective
network representing entanglement of cultures. The Google matrix analysis of
network of cultures shows signs of the Zipf law distribution. This approach
allows to examine diversity and shared characteristics of knowledge
organization between cultures. The developed computational, data driven
approach highlights cultural interconnections in a new perspective.Comment: Published in PLoS ONE
(http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0074554).
Supporting information is available on the same webpag
Interlinking English and Chinese RDF data sets using machine translation
lesnikova2014aInternational audienceData interlinking is a difficult task particularly in a multilingual environment like the Web. In this paper, we evaluate the suitability of a Machine Translation approach to interlink RDF resources described in English and Chinese languages. We represent resources as text documents, and a similarity between documents is taken for similarity between resources. Documents are represented as vectors using two weighting schemes, then cosine similarity is computed. The experiment demonstrates that TF*IDF with a minimum amount of preprocessing steps can bring high results
Accented Body and Beyond: a Model for Practice-Led Research with Multiple Theory/Practice Outcomes
Dance has always been a collaborative or interdisciplinary practice normally associated with music or sound and visual arts/design. Recent developments with technology have introduced additional layers of interdisciplinary work to include live and virtual forms in the expansion of what Fraleigh (1999:11) terms âthe dancer oriented in time/space, somatically alive to the experience of movingâ. This already multi-sensory experience and knowledge of the dancer is now layered with other kinds of space/time and kinetic awarenesses, both present and distant, through telematic presence, generative systems and/or sensors. In this world of altered perceptions and ways of being, the field of dance research is further opened up to alternative processes of inquiry, both theoretically and in practice, and importantly in the spaces between the two
Agglomeration, Networking and the Great Recession
This paper analyzes how and to what extent firmsâ external relations, such as belonging to a local cluster or a business group, affect the probability of firm survival and economic performance after the 2008 Great Recession. Using a large data set of Italian manufacturing companies for the period 2005â12, it was found that belonging to a business group or a local cluster mitigates the selection effect determined by the real and financial shocks, while in the case of firms not belonging to groups, only the more efficient units survive. This means that firms belonging to a group or local cluster are expected to show a lower likelihood of failure and also lower performance compared with stand-alone firms
GAUGING PUBLIC INTEREST FROM SERVER LOGS, SURVEYS AND INLINKS A Multi-Method Approach to Analyze News Websites
As the World Wide Web (the Web) has turned into a full-fledged medium to disseminate news, it is very important for journalism and information science researchers to investigate how Web users access online news reports and how to interpret such usage
patterns. This doctoral thesis collected and analyzed Web server log statistics, online surveys results, online reprints of the top 50 news reports, as well as external inlinks data of a leading comprehensive online newspaper (the People\u27s Daily Online) in China, one of the biggest Web/information markets in today\u27s world. The aim of the thesis was to explore various methods to gauge the public interest from a Webometrics perspective.
A total of 129 days of Web server log statistics, including the top 50 Chinese and English news stories with the highest daily pageview numbers, the comments attracted by these news items and the emailed frequencies of the same stories were collected from October 2007 to September 2008. These top 50 news itemsâpositions on the Chinese and English homepages and the top 50 queries submitted to the website search engine of the Peopleâs Daily Online were also retrieved. Results of the two online surveys launched in March 2008 and March 2009 were collected after their respective closing dates. The external inlinks to the Peopleâs Daily Online were retrieved by Yahoo! (Chinese and English versions), and the online reprints were retrieved by Google.
Besides the general usage patterns identified from the top 50 news stories, this study, by conducting statistical tests on the data sets, also reveals the following findings. First, the editorsâ choices and the readersâ favorites do not always match each other; thus content of news title is more important than its homepage position in attracting online visits. Second, the Chinese and English readersâ interests in the same events are different. Third, the pageview numbers and comments posted to the news items reflect the unfavorable attitudes of the Chinese people toward the United States and Japan, which
might offer us a method to investigate the public interest in some other issues or nations after necessary modifications.
More importantly, some publicly available data, such as the comments posted to the news stories and online survey results, further show that the pageview measure does reflect readersâ interests/needs truthfully, as proved by the strong correlations between the
top news reports and relevant top queries. The external ininks to the news websites and the online reprints of the top news items help us examine readers\u27 interests from other perspectives, as well as establish online profiles of the news websites. Such publicly accessible information could be an alternative data source for researchers to study readers\u27 interests when the Web server log data are not available.
This doctoral thesis not only shows the usefulness of Web server log statistics, survey results, and other publicly accessible data in studying Web userâs information needs, but also offers practical suggestions for online news sites to improve their contents and homepage designs. However, no single method can draw a complete picture of the online news readersâ interests. The above mentioned research methodologies should be employed together, in order to make more comprehensive conclusions. Future research is especially needed to investigate the continuously rapid growth of the âMobile News Readers,â which poses both challenges and opportunities to the press industry in the 21st century
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