Context awareness is essential in mobile learning being a highly personalized environment with diverse capabilities. Major challenges of context awareness are to define the learning context, how to sense it, and how to react to changes. Our proposed system provides a general architecture that facilitates contextualization using current widely-used web standards. It provides a systematic approac...

In naturalistic studies, it is vital to give appropriate context when analyzing driving behaviors. Such contextualization can help address the hypotheses that explore a) how drivers perform within specific types of environment (e.g., road types, speed limits, etc.), and b) how often drivers are exposed to such specific environments. In order to perform this contextualization in an automated fas...

We propose a new technique, Spectral Contextualization, to study political engagement on Facebook during the 2012 French presidential election. In particular, we examine the Facebook posts of the eight leading candidates and the comments beneath these posts. We find evidence of both (i) candidate-centered structure, where citizens primarily comment on the wall of one candidate and (ii) issue-ce...

According to the organizers, the aim of the 2013 INEX Tweet Contextualization Track is: “...given a tweet, the system must provide some context about the subject of the tweet, in order to help the reader to understand it. This context should take the form of a readable (and short) summary, composed of passages from [...] Wikipedia.” We present an automatic greedy summarizer named REG applied to...

We investigate the compositional properties of metonymy through self-paced reading (SPR) and ERP. We examine lexical metonymy (Novel producer-for-product: All freshmen read/meet Wickstrom) and circumstantial/pragmatic metonymy (A waitress says to another: “Table-13/That couple asked for more wine”). We test the hypothesis that both metonymic types are instantiated by the same interpretive mecha...

Contextualization of Geospatial Database Semantics Written by Administrator Thursday, 19 May 2011 07:40 Last Updated Friday, 04 October 2013 17:19 Human interactions with geographical information are contextualized by problem-solving activities which endow meaning to geospatial data and processing. However, existing spatial data models have not taken this aspect of semantics into account. This ...

The goal of the tweet contextualization track is providing, automatically, a summary that explains a given tweet. This paper introduces a new approach for tweet contextualization based on association rules. The proposed approach allows the extension of the tweet’s vocabulary by a set of thematically related words using mining association rules between terms, and between syntagms. To prove the e...

According to the organizers, the objective of the 2014 CLEFINEX Tweet Contextualization Task is: “...The Tweet Contextualization aims at providing automatically information a summary that explains the tweet. This requires combining multiple types of processing from information retrieval to multi-document summarization including entity linking.” We present three statistical summarizer systems ap...

INTRODUCTION The increasing spread of software components in the healthcare context renders explanatory guides relevant and mandatory to interpret laws and standards, and to support safe management of software products in healthcare. METHODOLOGY In 2012 a working group has been settled for the above purposes at Italian Electrotechnical Committee (CEI), made of experts from Italian National In...

The amount of information exchanged over the Internet is continuously growing, taking the form of short text messages on microblogging platforms such as Twitter. Due to the limited size of these types of messages, their understanding may require to know the context of their occurrence. In this paper, we propose a higher-level representation of short text messages based on a thematic model obtai...