Projects

Current Projects

  • 4V. Volume, Velocity, Variety and Veracity in innovative data management

    At the moment the group participates in a coordinated project whose goal is to develop innovative solutions to face the challenges posed by the difficulties of data management in the new Digital Society. The main issues to be addressed in this society are the huge amount of accesible data, as well as its quality and the heterogeneous provenance of these data. The integration of all these aspects will undoubtedly produce an added value that, up to now, has not been considered.
    This objective is closely related to the four Vs that stand for the title of this project. In fact, all of them are relevant research lines in the Big Data environment. First, VELOCITY and VOLUME in data production will be considered, focusing mainly on EFFICIENCY, both in relation to the storage and access to huge data volume and/or data streams; second, VARIETY from the perspective of the semantic explotation of data, both in mobile and traditional environments, so as to obtain an added value from the existing data; finally, VALIDITY in that it analyzes the QUALITY of open data and the repairing of these data, if needed.
    In the framework of this coordinated project we intend to develop technology, methods, tools and solutions all related to these 4 Vs. So, the project is organized around 3 technological workpackages that cope with Efficiency, Semantic Exploitation and Data Quality. Furthermore, we propose a fourth workpackage that deals with prototype development, in which we intend to analyse the development of applications in certain environments, such as Health Care, Smart Cities and Industry 4.0 These prototypes will integrate the technology developed in the previous three workpackages. Thus, on the one hand, they will serve as a proof of concept and validation of the utility of the proposed solutions. And, on the other hand, they will reveal the advantages of this new innovative way of data management. Moreover, the prototypes by themselves will constitute a useful output of the project and will allow validating the developed technology in the real world.
    Our research group focusses it research efforts mainly in the aspects related to Capture, storage and data analysis of large scale of data in two specific areas : Industry 4.0 (Manufacturing) and e-health (Parkinson Desease).

Past Projects

  • COSESI (TIN2007-68091-C02-01):

    The goal of this project consists on facilitating the interoperability among distributed, open and dynamic information systems. In order to achieve that, the problem of managing the semantics in the communications established among those information systems will be tackled. Two main research areas are considered in our proposal. The goal of the first area is the development of protocol-management mechanisms to support communications at a semantic-level based on atomic communication acts. The goal of the second area is the development of semantic web services management mechanisms. The basic support of the global proposal is within the technologies considered in the Semantic Web area such as ontologies and agent platforms as well as on the management of stored data.

  • SAMON: a Sleep Apnea Monitoring System:

    Patients suspected of suffering Sleep Apnea and Hipopnea Syndrome (SAHS) have to undergo sleep studies such as expensive polysomnographies to be diagnosed. Healthcare professionals are constantly looking for ways to improve the ease of diagnosis and comfort for this kind of patients as well as reducing both the number of sleep studies they need to undergo and the waiting times. Relating to this scenario, some research proposals and commercial products are appearing, but all of them record the physiological data of patients to portable devices and, in the morning, these data are transmitted to hospital computers
    where physicians analyze them by making use of specialized software. We are developing an alternative proposal that promotes not only a transmission of physiological data but also a real-time analysis of these data locally at a mobile device. This local analysis allows the detection of anomalous situations as soon as they are generated and so, offers the chance of reacting earlier.

  • SIHIS:

    We are developing a framework that favours the semantic interoperability between heterogeneous Health Information Systems. The central element of the architecture is an ontology in which the RIMs (Reference Information Model (RIM),) and archetypes from the EHR (Electronic Health Records) standards and specific EHRs are described. Thanks to the ontological axioms defined between the terms of different standards, and those between terms of standards and terms of specific EHRs, a record of a specific Health Information System A (corresponding to a particular patient) will be interpreted on the fly by another specific Health Information System B. Moreover, our framework allows the sharing of medical knowledge between systems by using Semantic Web rules.

  • AINGERU

    Development of an innovative tele-assistance system that overcomes current services limitations and offers new functionalities.

  • MOLEC

    Development of an innovative system to monitor patients with cardiac arrythmia that allows a continuous analysis of of hear signals (ECG) in real time on a local device.

  • OBSERVER (Ontology Based System Enhanced with Relationships for Vocabulary hEterogeneity Resolution)

    OBSERVER uses multiple pre-existing ontologies to access heterogeneous distributed and independently developed data repositories .The content of each data repository is described by one or more ontologies expressed using a system based on Description Logics. Each data repository is viewed at the level of the relevant semantic concepts. Information request to OBSERVER is specified as a DL expression based on concepts in a user domain ontology. OBSERVER uses ontological inferences to classify the query and determine relevant data repositories and translates the DL expressions to the local query languages of the data repositories. Mechanisms dealing with partial translations obtained by using synonym relationships and incremental enrichment of the answers by combining them are implemented. Moreover, it also considers the substitution of a term by combinations of hyponym and hypernym relationships which result in the change in the semantics of the query.

  • ANTARCTICA (Autonomous ageNT bAsed aRChitecture for cusTomized mobIle Computing Assistance)

    The ANTARCTICA system provides users of wireless devices with a new environment that fulfills their data management needs. Concerning classical data services, such as e-mail and WWW access services, ANTARCTICA goes a step further not only allowing user customization of such services, but also optimizing the performance in terms of wireless communications. Moreover, ANTARCTICA offers new services such as the Locker Rental Service and the Software Retrieval Service. These services offer new possibilities to users of wireless devices while stressing also the customization and optimization criteria. The architecture of ANTARCTICA is based on the use of the Client/Intercept/Server model and the agent technology.