1,721,149 research outputs found
MigrationsKB: A Knowledge Base of Migration related annotated Tweets
MigrationsKB(MGKB) is a public Knowledge Base of anonymized Migration related annotated tweets. The MGKB currently contains over 200 thousand tweets, spanning over 9 years (January 2013 to July 2021), filtered with 11 European countries of the United Kingdom, Germany, Spain, Poland, France, Sweden, Austria, Hungary, Switzerland, Netherlands and Italy. Metadata information about the tweets, such as Geo information (place name, coordinates, country code). MGKB contains entities, sentiments, hate speeches, topics, hashtags, encrypted user mentions in RDF format. The schema of MGKB is an extension of TweetsKB for migrations related information. Moreover, to associate and represent the potential economic and social factors driving the migration flows such as eurostat, statista, etc. FIBO ontology was used. The extracted economic indicators, such as GDP Growth Rate, are connected with each Tweet in RDF using geographical and temporal dimensions. The user IDs and the tweet texts are encrypted for privacy purposes, while the tweet IDs are preserved.
For this version, the MGKB is delivered as a whole and separately by year. The extracted entities and topic words are also published.
Online SPARQL endpoint https://mgkb.fiz-karlsruhe.de/sparql/
More information please refer to the website https://migrationskb.github.io/MGKB/.
Please contact Yiyi Chen ([email protected]) for pretrained models (sentiment analysis/hate speech detection/ETM) if necessary
I-SEMANTICS '13 : Proceedings of the 9th International Conference on Semantic Systems : 4th - 6th of September 2013, Graz, Austria
This volume contains the proceedings of the I-SEMANTICS 2013. I-SEMANTICS offers a forum for the exchange of latest scientific results in semantic systems and complements these topics with new research challenges in the area of social software, semantic content engineering, logic programming and Semantic Web technologies. The conference is in its 9th year and has developed into an internationally visible and professional academic event
Code for the paper "The ISMIR Explorer - A Visual Interface for Exploring 20 Years of ISMIR Publications" (ISMIR 2019)
Code release for the paper: Thomas Low, Christian Hentschel, Sayantan Polley, Anustup Das, Harald Sack, Andreas Nürnberger & Sebastian Stober: "The ISMIR Explorer - A Visual Interface for Exploring 20 Years of ISMIR Publications" In: Proceedings of 20th International Society for Music Information Retrieval Conference (ISMIR'19), 2019
DeepOntoNLP & X-SENTIMENT 2021: Advances in Semantics and Explainability for NLP: Joint proceedings of the DeepOntoNLP and X-SENTIMENT Workshops
Cross-language semantic matching for discovering links to e-gov services in the LOD cloud
The large diffusion of e-gov initiatives is increasing the at-tention of public administrations towards the Open Data initiative. Theadoption of open data in the e-gov domain produces different advantagesin terms of more transparent government, development of better publicservices, economic growth and social value. However, the process of dataopening should adopt standards and open formats. Only in this way itis possible to share experiences with other service providers, to exploitbest practices from other cities or countries, and to be easily connectedto the Linked Open Data (LOD) cloud.In this paper we present CroSeR (Cross-language Service Retriever), atool able to match and retrieve cross-language e-gov services stored inthe LOD cloud. The main goal of this work is to help public adminis-trations to connect their e-gov services to services, provided by otheradministrations, already connected to the LOD cloud. We adopted aWikipedia-based semantic representation in order to overcome the prob-lems related to match really short textual descriptions associated to theservices. A preliminary evaluation on an open catalog of e-gov servicesshowed that the adopted techniques are promising and are more effectivethan techniques based only on keyword representation
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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
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