Unleashing the power of semantic text analysis: a complex systems approach
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What would someone from another culture think of this photograph I just took? Would they think my picture of this 'wilted flower' was also sentimentally positive or would they perceive it negatively instead? Or what if I wanted to find other photographs th ...
TED has become a powerful vector for disseminating information and consequently influencing public opinion on a broad range of subjects. While TED talks are immensely popular (Sugimoto et al., 2013), there has not been much scholarly research on this form ...
The bag-of-words (BOW) model is the common approach for classifying documents, where words are used as feature for training a classifier. This generally involves a huge number of features. Some techniques, such as Latent Semantic Analysis (LSA) or Latent D ...
The evaluation of scientific research is crucial for both the academic community and society as a whole. Numerous bibliometric indices have been proposed for the ranking of research performance, mainly on an ad hoc basis. We introduce the novel class of Sc ...
Processing data streams is increasingly gaining momentum, given the need to process these flows of information in real-time and at Web scale. In this context, RDF Stream Processing (RSP) and Stream Reasoning (SR) have emerged as solutions to combine semant ...
The advent of large-scale citation services has greatly impacted the retrieval of scientific information for several domains of research. The Humanities have largely remained outside of this shift despite their increasing reliance on digital means for info ...
More research is needed is an iconic catchphrase used by scientists worldwide. Yet policy and management decisions are continually being made with variable levels of reliance on scientific knowledge. Funding agencies have provided incentives for knowledge ...
Ontologies provide conceptual abstractions over data, in domains such as the Internet of Things, in a way that sensor data can be harvested and interpreted by people and applications. The Semantic Sensor Network (SSN) ontology is the de-facto standard for ...
This paper provided results of a framework-based self-reflection process conducted by the science and the practice leaders of two transdisciplinary projects realized in co-leadership from 2011 until 2014. It analyzes from the perspectives of the science an ...
This article describes a systematic analysis of the relationship between empirical data and theoretical conclusions for a set of experimental psychology articles published in the journal Science between 2005-2012. When the success rate of a set of empirica ...