Luca Panziera (Alumni)Research Associate
The focus of my research is to construct Semantic Web descriptions of real services, by exploiting information available on the Web.
My aim is to extract explicit information, such as service operations or non-functional properties, as well as subjective characteristics, such as service popularity and usage complexity.
I am involved in the COMPOSE project with Dr. Carlos Pedrinaci. The results of my research will be provided for developing iServe and Ply technologies.
Keys: Semantic Web, Web APIs, Web Services, Information extraction, Service mining, Web Applications
Marco-Ruiz, L., Pedrinaci, C., Maldonado, J., Panziera, L., Chen, R. and Bellika, J. (2016) Publication, Discovery and Interoperability of Clinical Decision Support Systems: a Linked Data Approach, Journal of Biomedical Informatics
Daga, E., Panziera, L. and Pedrinaci, C. (2015) BASIL: A Cloud Platform for Sharing and Reusing SPARQL Queries as Web APIs, Demo at International Semantic Web Conference
Daga, E., Panziera, L. and Pedrinaci, C. (2015) A BASILar Approach for Building Web APIs on top of SPARQL Endpoints, Workshop: Services and Applications over Linked APIs and Data (SALAD) at European Semantic Web Conference (ESWC), Portoroz, Slovenia
Villalba, A., Perez, J., Carrera, D., Pedrinaci, C. and Panziera, L. (2015) servIoTicy and iServe: a Scalable Platform for Mining the IoT, Workshop: Big Data and Data Mining Challenges on IoT and Pervasive Systems (BigD2M) at International Conference on Ambient Systems, Networks and Technologies (ANT), London, UK
Rula, A., Panziera, L., Palmonari, M. and Maurino, A. (2014) Capturing the Currency of DBpedia Descriptions and Get Insight into their Validity, Workshop: The 5th International Workshop on Consuming Linked Data (COLD 2014) at The 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy