Transparency is a well-articulated requirement in policy and project development processes. To the present time, we mostly see approaches documenting the workflow or the results of these processes, but lack a representation of the discourse which produced the results. However, the arguments which have been put forward in the development of a policy document the reasoning for the details of the ...

In this article, the incremental searcher satisfaction model for Information Retrieval is introduced. In this model, documents are not presented according to decreasing relevancy only, but also on the level of novelty in the context of the documents previously presented. Documents which are judged to be insuuciently surprising (according to a searcher determined threshold) are not presented to ...

Software companies keep evolving their methods for software production, due to the continuous changes in the organizational, technological, and societal context. Implementing changes to existing methods is a complex activity, which depends not only on understanding ‘what’ to alter, but also on defining ‘how’ to apply the changes. Approaches in the literature are mainly focused on the ‘what’, pr...

In this paper, we show that in cooperative environments like medical supply centers, new demands on IT infrastructure are created that cannot be satisfied by traditional information systems. We demonstrate our vision for a system to remedy this situation by offering smooth pay-as-you-go migration instead of forced integration to autonomous data management systems. We give an evaluation of appli...

purpose: this study aimed to measure the information load of words in farsi scientific texts and determine the relationship between some properties of the words and information load of the texts based on shannon entropy. methodology: the study was conducted based on the content analysis of a number of 320 articles that were published in scientific-research iranian journals in 2009. and the arti...

Abstract— For Kids searching the relevant content and weeding out the distracted content is the most challenging task as there is no fix rule to classify which content is appropriate for a kid who is searching to complete his homework and which is not. The Main aim of the study is to design an IR in such a way that kids remain focused on what they are searching, instead of distracting and jumpi...

The interplay of content and context is observable in a moment to moment manner as propositional content unfolds. The current contribution illustrates this through data from real-time language comprehension indicating that propositional content is not computed in isolation but relies in important ways on context during every step of the computation of meaning. The relevant notion of context tha...

Sentiment extraction from user-generated online content to predict stock price movements has become an active research field. This paper gives an overview of common approaches to this topic and analyzes the content generated by the financial social network Seekingalpha.com. The first finding is that a large proportion of users’ attention is focused on only a few stocks. Regarding these stocks i...

User generated content (UGC) is an important source of information to consumers, yet prior research has not fully explored how certain aspects of the content, specifically the tone, perception of quality and source credibility influence attitudes and intentions to buy. This study investigates how the tone of UGC influences perceived content quality, source credibility, attitudes and consumer in...