Álvaro Sicilia

Map-On: A web-based editor for visual ontology mapping

This paper presents Map-On, a web-based editor for visual ontology mapping developed at the Architecture, Representation and Computation research group of the La Salle at Ramon Llull University. The Map-On editor provides a graphical environment for ontology mapping creation based on the representation of mapping using an interactive graph layout. Thus, a point-and-click interface simplifies the mapping creation process. Based on the user inputs the editor automatically generates a R2RML document, particularly produces the IRI patterns and the SQL queries. It has been used in real scenarios alleviating the effort of coding R2RML statements which is one of the main barriers for adopting R2RML in research and in the industry

AutoMap4OBDA: Automated Generation of R2RML Mappings for OBDA

Ontology-Based Data Access OBDA has become a popular paradigm for the integration of heterogeneous data. The key components of an OBDA system are the mappings between the data source and the target ontology. The great efforts required to create manual mappings are still a significant barrier to adopting the OBDA. Current relational-to-ontology mapping generators are far from providing 100i¾?% of the mappings required in real-world problems. To overcome this issue we present AutoMap4OBDA, a system which automatically generates R2RML mappings based on the intensive use of relational source contents and features of the target ontology. Ontology learning techniques are applied to infer class hierarchies, the string similarity metrics are selected based on the target ontology labels, and graph structures are applied to generate the mappings. We have used the RODI benchmarking suite to evaluate AutoMap4OBDA which outperforms the most advanced state-of-the-art mapping generators.

Design knowledge as interaction between form and shape: A pedagogic case study

Designing with a computer means to establish meaningful relationships between form and shape. It is necessary to develop computer tools that narrow the gap that still persists between the perceived form and the computer representation of a shape. We present a set of prototype tools to create two-dimensional compositions, whose purpose is to facilitate the interaction between designer and computer. The tools have been used to teach architecture students some fundamental implications in the use of computers to design.

Applying Clustering Techniques to Retrieve Housing Units from a Repository

The purpose of BARCODE HOUSING SYTEM, a research project developed over the last four years, has been to create an Internet-based system which facilitates the interaction of the different actors involved in the design, construction and use of affordable housing built with industrialized methods. One of the components of the system is an environment which enables different users – architects, clients, developers – to retrieve the housing units generated by a rule-based engine and stored in a repository. Currently, the repository contains over 10,000 housing units. In order to access this information, we have developed clustering techniques based on self-organizing maps and k-means methods.