I am a PhD Candidate in the Department of Computer Science at Aalborg University. My research interests in general are Semantic Web, Linked Open Data and its applications with spatio-temporal data and business intelligence (BI). My recent work focuses on spatial OLAP and data warehouses on the Semantic Web. I work on integrating Linked Open Governmental Datasets from spatial domains (such as agriculture, farming, environmental, and land-use data) to enable business intelligence.
PhD in Computer Science and Engineering (Joint Doctorate) — expected in, 2018
Aalborg University and Université Libre de Bruxelles
MSc in Geospatial Technologies (Joint Degree), 2012
Universitet Jaume I (UJI) and University of Muenster, Institute for Geoinformatics (IFGI)
BSc in Computer Science, 2008
Istanbul Bilgi University
The demo paper GeoSemOLAP: Geospatial OLAP on the Semantic Web Made Easy was selected as the best demo in the 26th International World Wide Web Conference by reviewer’s choice.
The journal paper A Foundation for Spatial Data Warehouses on the Semantic Web was accepted as a full paper at the Semantic Web Journal.
Enabling business intelligence over semantic data: This includes not only making new datasets available as Linked Open Data but also developing strategies for efficient execution of analytical queries .
GeoSemOLAP is a framework with an easy-to-use graphical interface that allows nonexperts to query spatial semantic data warehouses using high-level SOLAP operators.
GovAgriBusDenmark is the first attempt to publish Danish agricultural data sets integrated with the central company registry (CVR) data and make it available to the public via SPARQL endpoint. This integration makes it possible to query across this data. The endpoint is hosted on OpenLink Virtuoso. The original open data sets are provided from: Central Business Registry of Denmark (CVR), The Danish Ministry of the Environment, The Ministry of Food, Agriculture, and Fisheries of Denmark.