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Financial linked open data reasoning and management for web sciencie awarded by MINISTERIO DE CIENCIA E INNOVACION

The concept of Linked Data is a new technological trend in information management that has emerged within the general framework that represents the Semantic Web. This term refers to a method for exposing, sharing and connecting data through unreferenced URIs on the Web.

Behind this concept is the ability to be able to transform the information contained in documents or data sources that, although they apparent to be structured, only their content is structured, not its data. This transformation is based on being able to get information from a document (which can be read, but that their data can not be used automatically as they have not been pre-interpreted) in a series of tagged data with which can work automatically.

The information stored in the documents can be read, interpreted and analyzed, among other things, by humans, in a more or less easy way, being able to isolate and categorize the elements contained in the text, so that the document or its contents, go of being mere information and data, meaning data a set of alphanumeric elements that can be used by a programmable element not human.

The process of obtaining these data is not a trivial task. A comprehensive analysis of the documents by using techniques of NLP (Natural Language Processing) is necessary to achieve the extraction of specific data. Besides this NLP process is necessary to generate a mapping process between the extracted concepts and their links with the aim of generating the Linked Open Data.

The aim therefore of this project and the initial hypothesis raised is the generation of a process that allows the extraction of economic data and financial information from the documents.

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The main objective of the project is the creation of a prototype for the analysis of employability in the Community of Madrid. This prototype has allowed validating the possibility of obtaining information about employability levels, based on a fixed set of data extracted from websites with available job offers. For this, an analysis of the information will be carried out, which will allow to use such information in a suitable format in the proposed prototype.

The main characteristic of this prototype is that it allows generating an example of reports on the different factors of employability, automating the production of these reports. What is intended with this prototype is to perform a proof of concept by verifying the product requirements, the implementation and the test (in a controlled context) of the key concepts.

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Recommendation and support system of corporate financials decisions based on semantic technologies.

  • The goal of this project is the creation of a platform that allows to search corporate financial knowledge based on technologies of knowledge and employees' elements of semantic web.
  • The system collects data from public and private sources, then adds this data in a repository and allows the access to the data with a smart engine that processes the data in a natural way, helping the user to search more easily.
  • Through this project, intelligent technologies based on semantic annotations, attempts to respond to a need in the finance sector the analysis of large volumes of information for decision making.
  • The execution of this project allows the financial community to access to a smart system for searching of financial information, solving problems of processing and information integration of a company.
  • The search for accurate, effective and relevant information in the business area has became the holy grail of most companies. Especially in the financial sector, where the speed and effectiveness of information are critical factors with an exponential impact on their business.


The goal of the GODO project is to develop a platform to facilitate the discovery of Web Services. GODO takes advantage of the incorporation of semantics and uses mechanisms of natural language processing and ontological engineering

The approach of the GODO project refers to the use of PLN and ontologies, focusing on the automatic construction of ontologies from the text and the detection of ontological elements (concepts, classes, relations, attributes).

The fase II, GODO 2 is a clear advance for the discovery of services, implementing a platform that favors its description and composition. This platform, in turn, puts special emphasis on the intuitive definition of objectives through natural language, which allows users to approach with the management of services.

Integration, support and diffusion of complex applications-ISAAC granted by META4 SPAIN, S.A.

The ISDAC Project main purpose is to define and develop the required technology to address common problems in commercial and packaged IS management and support. These necessities include deployment and diffusion functionalities, support life cycle backup, unattended configuration and novel integration and interaction capacities with other systems/processes/individuals in the environment.