Program transformations play an important role in domain-specific languages and model-driven development. Tracing the execution of such transformations has well-known benefits for debugging, visualization and error reporting. In this paper, we introduce string origins, a lightweight, generic and portable technique to establish a tracing relation between the textual fragments in the input and ou...

We present semantic approach to discovering, composing and deploying distributed service-based applications. This approach allows users to advertise services on the network in agent form as well as compose meta-agents from existing agents. Agent advertisement is done through a rich RDF representation, enabling a semantic agent discovery layer that sits on top of traditional middleware. We prese...

In this paper we present a domain specific language (DSL) for Extended Entity-Relationship (EER) data model approach, named EERDSL. EERDSL is a part of our Multi-Paradigm Information System Modeling Tool (MIST) that provides EER database schema specification at the conceptual level and its transformation into a relational data model, or a class model. EERDSL modeling concepts are specified by E...

WordPress is a powerful and extensible platform for webbased information publishing and management. While the WordPress core is targeted to the publication of chronologically ordered textual articles typical of blogs, users have developed plugins as well as themes to support the data management requirements of specific domains such as e-commerce or e-learning. However, the creation of such plug...

We present the CIC’s approach to the Author Profiling (AP) task at PAN 2017. This year task consists of two subtasks: gender and language variety identification in English, Spanish, Portuguese, and Arabic. We use typed and untyped character n-grams, word n-grams, and non-textual features (domain names). We experimented with various feature representations (binary, raw frequency, normalized freq...

We propose a system which is based on fuzzy c-means clustering and automatically organizes a collection of music files according to musical surface characteristics (e.g., zero crossings, short-time energy, etc.) and tempo. Our system is complemented by semantic metadata which offers the user the ability to check the clustering result, correct existing textual meta-information (such as genre and...

We investigate and evaluate methods for the characterization of social relations from textual communication context, using e-mail as an example. Social relations are intrinsically characterized by the Cartesian product of weights on various axes (we employ valuation and intensity as examples). The prediction of these characteristics is performed by application of unsupervised learning algorithm...

We report on the application of SPIN for model-checking C source code which is generated out of a textual domain-specific language (DSL). We have built a tool which automatically generates the necessary SPIN wrapper code using (meta-)information available at the DSL level. The approach is part of a larger tool-chain for developing mission critical applications. For example, error traces resulti...

In this study, the researcher chose three different vocabulary techniques (Visual Representation, Textual Enhancement, and Glossing) and compared them with traditional method of teaching vocabulary. 80 advanced EFL Learners were assigned as four intact groups (three experimental and one control group) through using a proficiency test and a vocabulary test as a pre-test. In the visual group, stu...

In this paper, we describe a rule-based mechanism that detects Japanese term variations from textual corpora. The system operates on the basis of meta-rules that map syntactic and morpho-syntactic variations of terms to the original forms of terms. The framework used here has been successfully applied in such languages as English and French, and we show here that this also works well in detecti...