Estimating the geographic location of images is a task which has received a lot of attention in recent years. Large numbers of items uploaded to Flickr do not contain GPS-based latitude/longitude coordinates, although it would be beneficial to obtain such geographic information for a wide variety of potential applications such as travelogues and visual place descriptions. While most works in th...

Domain-specific modeling is more and more understood as a comparable solution compared to classical software development. Textual domain-specific languages (DSLs) already have a massive impactin contrast tographical DSLs, they still have to show their full potential. The established textual DSLs are normally generated from a domain specific grammar or maybe other specific textual descriptions. ...

The formalising of relations of the theory of relational databases encompasses in the main conventional entity set models and data structures. There is an analytical vehicle and formal definition of knowledge bases. The offered tool of meta-textual relational models of knowledge opens broad capabilities of development of the theory of relational knowledge bases. The basic fields of application:...

This paper presents a comparison of textual and visual syntax notation of Domain-Specific Language (DSL) programs on the example of DOMMLite DSL[3]. Starting from the definition of DOMMLite meta-model, the prototypes of both textual and graphical editors are implemented using tools of the Eclipse Modeling Project. Initial observations in favor and against both syntax notations are summarized an...

Principles of visXcerpt. The Semantic Web aims at enhancing data and service retrieval on the Web using meta-data and automated reasoning. Meta-data on the Semantic Web is heterogeneous. Several formalisms have been proposed. RDF, Topic Maps and OWL, e.g., and some of these formalisms have already a large number of syntactic variants. Like Web data, Web meta-data will be highly distributed. Thu...

Background The need for competence training and development in health management and leadership workforces has been emphasised. However, evidence of the outcomes and impact of such training and development has not been systematically assessed. The aim of this review is to synthesise the available evidence of the outcomes and impact of training and development in relation to the competence of he...

In this paper, we create meta-classifiers to forecast success in the National Hockey League. We combine three classifiers that use various types of information. The first one uses as features numerical data and statistics collected during previous games. The last two classifiers use pre-game textual reports: one classifier uses words as features (unigrams, bigrams and trigrams) in order to dete...

AbstrAct: The textual content of company annual reports has proven to contain predictive indicators for the company fu­ ture performance. This paper addresses the general re search question of evaluating the effectiveness of applying machine learning and text mining techniques to building predictive mod­ els with annual reports. More specifically, we focus on these two questions: 1) the feasibi...