Over the past two decades, two challenging, ongoing domains of medical informatics research have been the construction of models for medical concept representation and the inter-related task of understanding the deep meaning of medical free texts. These domains can take advantage of each other by exploiting the rich semantic content embedded in both concept models and medical texts. This review...

Transformations between textual descriptions of spatial information and other types of representation, e.g. maps, require a deep understanding of the actual information given in the texts. The level of detail used in such descriptions depends on various aspects, e.g.: the purpose of the description and thus the necessary information for the application, the author’s education and availability o...

Computerizing mathematical texts to allow software access to some or all of the texts’ semantic content is a long and tedious process that currently requires much expertise. We believe it is useful to support computerization that adds some structural and semantic information, but does not require jumping directly from the word-processing level (e.g., LTEX) to full formalization (e.g., Mizar, Co...

Both as a corpus and as a source of texts for corpora the Web offers significant benefits in its virtually comprehensive coverage of major languages, content domains and written text types, yet its usefulness is limited by the generally unknown origin and reliability of online texts and by the sheer amount of “noise” on the Web. This paper describes and evaluates linguistic methods and computin...

Background: due to the central role of textbooks in cultivating studentschr('39') personalities, their content needs to be evaluated. Therefore, the aim of the present study is to evaluate the content of social studies textbooks based on the character education approach. Method: the present research method is mixed, which was done by combining the methods of documentary studies, fuzzy delphi a...

This paper deals with the entity extraction task (named entity recognition) of a text mining process that aims at unveiling non-trivial semantic structures, such as relationships and interaction between entities or communities. In this paper we present a simple and efficient named entity extraction algorithm. The method, named PAMPO (PAttern Matching and POs tagging based algorithm for NER), re...

We investigate the differences between language models compiled from original target-language texts and those compiled from texts translated to the target language. Corroborating established observations of Translation Studies, we demonstrate that the latter are significantly better predictors of translated sentences than the former, and hence fit the reference set better. Furthermore, translat...

Web prefetching is an effective technique to minimize user’s web access latency. Web page content provides useful information for making the predictions that is used to perform prefetching of web objects. In this paper we propose semantic prefetching scheme that uses anchor texts present in the web page to make effective predictions. The scheme applies Naïve Bayes Classifier for computing the p...