We describe an approach which builds on techniques from Data Integration and Information Extraction in order to make better use of the unstructured data found in application domains such as the Semantic Web which require the integration of information from structured data sources, ontologies and text. We describe the design and implementation of the ESTEST system which integrates available stru...

Face to their merger and/or collaboration with partners, today’s enterprises often need to integrate several databases. As a result, their decision making process ends up analyzing data coming from various databases. While database integration has been thoroughly examined, it is only recently that the integration of multidimensional models has drawn attention. A multidimensional model is a data...

In recent years, there has been an international trend towards publishing open data and an attempt to comply with standards and good practices that make it easier to find, reuse and exploit open data. Linked Data is one such way of publishing structured data and thousands of such datasets have already been published from various domains. However, the semantic integration of data from these data...

In the Semantic Web, knowledge integration is frequently performed between heterogeneous knowledge bases. Such knowledge integration often requires the schema expressed in one knowledge modelling language be translated into an equivalent schema in another knowledge modelling language. This paper defines how schemas expressed in OWL-DL (the Web Ontology Language using Description Logic) can be t...

In this paper, a combined cross-section and time-series econometric analysis of Spanish regional growth is presented. This analysis operates with a database where the number of cross-sectional units is small for a typical panel of data, while the time dimension is clearly dominant. First, using recent techniques in the econometric analysis of panel data (both panel unit root and panel co-integr...

This paper develops Bayesian tools for making inferences about finn-specific inefficiencies in panel data models. We begin by establishing a Bayesian setting in which fixed and random effects models are defined. What distinguishes these classes of models is the marginal prior independence of the effects. We show how such models can be analyzed using Monte Carlo integration or Gibbs sampling. Th...

The wide range of data sources available today mean that the integration of heterogeneous data sources is now a common and important problem. It is even more challenging in a P2P environment, peers often do not know in advance which schemas of other peers will suit their information needs and there is potentially a greater diversity of data modelling languages in use. In this paper, we propose ...

The necessity of data interoperability is very important for the oil and gas enterprise environment. Different information systems and applications cover the range of the IT infrastructure and need to interoperate. Most of the industrial companies do not have common rational strategy for their automation. That leads to the lack of integration between purchased and implemented software that is n...

In this paper we present a new approach for embedding integrity constraints into object-oriented database systems (ODBMS), which can not be speciied implicitly by the structure or explicitly by key words of the system. For the design of an object-oriented schemas a variety of existing techniques can be used, which are mainly based on conceptual design using a semantic database model. The transf...