A5041919595- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Video Analysis and Summarization
- Service-Oriented Architecture and Web Services
- Data Quality and Management
- Multimedia Communication and Technology
- Web Data Mining and Analysis
- Natural Language Processing Techniques
- Digital Rights Management and Security
- Biomedical Text Mining and Ontologies
- Music and Audio Processing
- Library Science and Information Systems
- Data Management and Algorithms
- Digital Games and Media
- Complex Network Analysis Techniques
- Algorithms and Data Compression
- Peer-to-Peer Network Technologies
- Data Mining Algorithms and Applications
- Distributed systems and fault tolerance
- Caching and Content Delivery
- Video Coding and Compression Technologies
- Digital Humanities and Scholarship
- Scientific Computing and Data Management
- Image Retrieval and Classification Techniques
- Privacy, Security, and Data Protection
Joanneum Research
2003-2021
Ollscoil na Gaillimhe – University of Galway
2009-2013
National University of Ireland
2009-2013
APR Technologies (Sweden)
2013
Leipzig University
2012
Ghent University Hospital
2011
Enterprise Ireland
2009
Semantic Web technologies have been around for a while. However, such had little impact on the development of real-world applications to date. With linked data, this situation has changed dramatically in past few months. This article shows how data sets can be exploited build rich with effort.
Apache Drill is a distributed system for interactive ad-hoc analysis of large-scale datasets. Designed to handle up petabytes data spread across thousands servers, the goal respond queries in low-latency manner. In this article, we introduce Drill's architecture, discuss its extensibility points, and put it into context emerging offerings analytics realm.
Government data covers authoritative and valuable information about our society. Public access to government data, however, remains challenging largely due the heterogeneity complexity of public ecosystem which results in high costs for locating, decoding, inter-linking reusing existing data. Recently, linked data–based solutions have been adopted by leading practitioners (such as Data.gov US Data.gov.uk UK) offer an open incremental that interconnects providers, consumers, contributors This...
While Linked Open Data (LOD) has gained much attention in the recent years, requirements and challenges concerning its usage from a database perspective are lacking. We argue that such is crucial for increasing acceptance of LOD. In this paper, we compare characteristics constraints relational databases with LOD, trying to understand latter as Web-scale database. propose LOD-specific beyond established rules highlight research challenges, aiming combine future efforts community area.
There are millions of sensors being deployed all over the world. Data generated by these is provided in different formats and interfaces rarely associated with semantics that describe its meaning. The heterogeneity lack semantic descriptions pose a big barrier for accessing sensor data combining it other sources.