(PhD) I am a Post-Doctoral Research Associate at Insight @ NUIG.
I received my BSC/MSC degree in Biomedical Engineering and my PHD in Bioengineering from the University of Genoa (Italy), my PHD project was related to Semantic Web integration, knowledge engineering and data management of Biomedical and Genomic data
My research interests include Semantic Web Technologies, Semantic Data Mashup, Linked Data, Big Data Management, Knowledge Engineering, Big Data Integration, Semantic Integration in Life Sciences & Health Care, Workflow Management, IoT Semantic Interoperability, IoT Semantic Data & Systems Integration.
I am the W3c Advisory Committee representative for Insight Centre @ NUIG. I am member of w3c groups like the HCLS IG, the Web of Things (WoT) IG and WG, the Spatial Data on the Web WG.
I work for the main Insight Linked Data Strand with the Linked Data and Semantic Web Groups and with the UIoT (Internet of Things and Stream Processing Unit) Unit, addressing collaboration with different units and involvement in various projects. In the Linked Data Foundations WP we seek to develop a general-purpose Linked Data Analytics platform, which enables (a) flexible and scalable data integration mechanisms, and (b) flexible use and reuse of data analytics components such as visualization components and analytics methods.
I have an extensive expertise of applying Semantic Web technologies and Linked Data Principles in Health Care & Life Sciences domains.
I worked also in two joint projects in collaboration with Industry Company like RTE and Fujitsu. The Fujitsu project KI2NA (Knowledge Integration 2 enable Network Applications) aims at building a platform to enable the develop of big linked data applications through a combination of Linked Data concepts and novel approaches to knowledge representation, extraction and analysis. The research project is undertaken in collaboration between Fujitsu Laboratories Ltd (Japan), Fujitsu Laboratories Europe (UK), Fujitsu Ireland and Insight at Galway.
I am member of various International Societies (W3c, ISCB, HVP, BITS, Force11, AIOTI..) with publications in impacted peer reviewed international journals and participation to international conferences and workshops.
At the moment I am working in the H2020 BIG IoT Project, The objective of the BIG IoT project is to ignite vibrant Internet of Things (IoT) ecosystems. Due to the fragmentation of IoT platforms, no broadly accepted professional IoT ecosystems exist. The goal of this project is to overcome these hurdles by Bridging the Interoperability Gap of the IoT and by creating marketplaces for service and application providers as well as platform operators. We address the interoperability gap by defining a generic, unified Web API for smart object platforms, called the BIG IoT API. The establishment of a marketplace where platform, application, and service providers can monetize their assets will introduce an incentive to grant access to formerly closed systems and lower market entry barriers for developers and service providers.
In the BIG IoT Project I am leading the main Tasks for development of Semantic Interoperability and Application Domain Models and I am leading the Working Package for the Dissemination and Standardization.
Insight Researchers: Achille ZappaNon-Insight Researchers: Stefan Schmid, Arne Bröring, Denis Kramer, Sebastian Käbisch, Martin Lorenz, Yong Wang, Andreas Rausch, Luca GioppoEvent: InterOSS-IoT Workshop, Venue: StutgartDate: 07/11/2016Event Type: WorkshopPresentation Type: Paper
Insight ParticipantAchille ZappaSponsor OrganisationTNO, NL, University of Innsbruck, Austria, Ontology Engineering Group, Universidad Politécnica de Madrid, Spain, MINES Saint-Étienne, France, LocationUnited StatesStart Date15/10/2018 to End Date15/10/2018