In this paper, we present a declarative domain-specific language (DSL) for the development of Geographic Information Systems (GIS). GIS applications manage information with a spatial component, usually in the form of points, lines, polygons, or variants of these basic data types, in domains where the spatial information plays a central role. They provide the user with different functionalities on different application domains, but they are usually developed according to a common architecture and using a common set of technologies. Hence, they share a significant number of elements that make some aspects of their development quite repetitive. Our DSL allows developers to specify the entities, geographic layers, and maps of the applications using a declarative language. Then, the specification is transformed into a working GIS application. We present the language, its implementation, and a case study on two sample projects that allowed us to evaluate the resulting software, paying special attention to the savings in the development effort.

Even though different applications based on Geographic Information Systems (GIS) provide different features and functions, they all share a set of common concepts (e.g., spatial data types, operations, services), a common architecture, and a common set of technologies. Furthermore, common structures appear repeatedly in different GIS, although they have to be specialized in specific application domains. Multilevel modeling is an approach to model-driven engineering (MDE) in which the number of metamodel levels is not fixed. This approach aims at solving the limitations of a two-level metamodeling approach, which forces the designer to include all the metamodel elements at the same level. In this paper, we address the application of multilevel modeling to the domain of GIS, and we evaluate its potential benefits. Although we do not present a complete set of models, we present four representative scenarios supported by example models. One of them is based on the standards defined by ISO TC/211 and the Open Geospatial Consortium. The other three are based on the EU INSPIRE Directive (territory administration, spatial networks, and facility management). These scenarios show that multilevel modeling can provide more benefits to GIS modeling than a two-level metamodeling approach.

In this article, we propose the definition of specific mutation operators for testing Geographic Information Systems. We describe the process for applying the operators and generating mutants, and present a case study where these mutation operators are applied to two real-world applications.

This paper describes a system submitted to SemEval-2014 Task 4B: Sentiment Analysis in Twitter, by the team UMCC DLSI Sem integrated by researchers of the University of Matanzas, Cuba and the University of Alicante, Spain. The system adopts a cascade classification process that uses two classifiers, K-NN using the lexical Levenshtein metric and a Dagging model trained over attributes extracted from annotated corpora and sentiment lexicons. Phrases that fit the distance thresholds were automatically classified by the KNN model, the others, were evaluated with the Dagging model. This system achieved over 52.4% of correctly classified instances in the Twitter message-level subtask.

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