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Research Areas


The Research Group on Distributed Information Systems (SID) work on systems that help people to find the data or information they need, using semantic technology (ontologies) and data services in mobile environments. Thus, we can define two main research areas in which we work: semantic information systems and data management on mobile computing environments. We also stress that some of the systems developed belong to both research areas, as they apply semantic techniques to access to data in wireless environments.


SEMANTIC INFORMATION SYSTEMS

DATA MANAGEMENT ON MOBILE COMPUTING ENVIRONMENTS

This research area focuses on the study and development of techniques to facilitate the access to data for a specific search of information on the Web or other types of data sources (for example, relational databases). Through the use of semantic technologies, such as ontologies, reasoners based on description Logics, etc. The aim is to determine the semantic meaning of the available data to provide users with the necessary information that fulfils their needs.

Web system informationWeb system informationWeb system information        In the past:Web system informationWeb system information

This research area focuses on the study and development of relevant data management techniques for users in dynamic mobile computing environments. This includes the development of software architectures for location-based services (Location-Based Services or LBSs), data management in vehicular networks, mobile agent technology, and management of data streams (for example, sensor data).

Web system information        In the past:Web system information

SEMANTIC INFORMATION SYSTEMS ON MOBILE COMPUTING ENVIRONMENTS

Some of the systems that we have created use the semantic information management techniques that we have developed and apply them in the field of data management in wireless environments, building in this way semantic data services for the mobile computing area.

Web system information        In the past:Web system information


ALL ACTIVE FUNDED PROJECTS

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Título del proyecto: Datos 4.0: Retos y soluciones - UZ
Código: TIN2016-78011-C4-3-R
Entidades participantes: Univ. de Zaragoza
Duración, desde: 30-12-2016 hasta: 29-12-2020 (4 años)
Investigador principal: IP1: Dr. Eduardo Mena, IP2: Dr. Sergio Ilarri, Profesores Titulares de Universidad, Univ. de Zaragoza
Número de investigadores participantes: 14
Importe total: 177.507 €

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Título del proyecto: Prêt-à-LLOD - Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors
Entidades participantes: National University of Ireland Galway (Ireland), Universidad Politécnica de Madrid (Spain), Universidad de Zaragoza (Spain), Goethe Universität Frankfurt (Germany), University of Bielefeld (Germany), DFKI (Germany), Semantic Web Company (Austria), Semalytix (Germany), Oxford University Press (United Kingdom), Derilinx (Ireland)
Duración, desde 01-01-2019 hasta: 31-12-2021 (3 años)
Investigador principal: IP1: Jorge Gracia (IP nodo Univ. Zaragoza), John McCrae (Project coordinator, National University of Ireland) Galway (Ireland))
Número de investigadores participantes: >40
Importe total: 2.997.181€
Importe nodo Univ. Zaragoza: 195.000€

Objetivos: The main aim of this project is to promote synergies across Europe between linguists, computer scientists, terminologists, and other stakeholders in industry and society, in order to investigate and extend the area of linguistic data science. Funded by COST.

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Título del proyecto: Nexuslinguarum

Objetivos: In this project we aim to increase the uptake of language technologies by exploiting the combination of linked data and language technologies, that is Linguistic Linked Open Data (LLOD), to create ready-to-use multilingual data. Prêt-à-LLOD aims to achieve this by creating a new methodology for building data value chains applicable to a wide-range of sectors and applications and based around language resources and language technologies that can be integrated by means of semantic technologies, in particular the usage of Linguistic Linked Open Data (LLOD).

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Título del proyecto: Lynx

Objetivos: he main objective of Lynx is to create an ecosystem of smart cloud services to better manage compliance, based on a legal knowledge graph (LKG) which integrates and links heterogeneous compliance data sources including legislation, case law, standards and other private contracts.