Short CV
Edlira Kalemi joined Marie-Curie RENESENG project as experinced researcher (ER) in Septemember 2016. Before she has worked as a lecturer and later as an associate professor at the University of Tirana/ University of Durres in Albania, Norwegian University of Science and Technology in Norway and as Software Developer and Project Manager in different companies. Her expertise is in the areas of semantic web, ontologies, reasoning, knowledge management and intelligence gathering. She has finished her PhD in 2013 at the University of Tirana in the program “Information Systems in Economy” with dissertation titled “Applying Semantic Web technologies on building and managing information systems, Case: digital libraries of scientific publications”. Her master studies have been finalized with the dissertation “Ontologies on Academic Networks “at the South East European University in Macedonia in “Software and Application Development “program. She has been contact person and manager of different projects funded by Erasmus +, Swiss Government, Ministry of Science and Education in Albania and by International Companies like: “Multimedia & Digital TV, RICUM”, StudAVP, AlbVET, EUROSTUDENT VI.
Project title
Production of prototypes of knowledge models, platform of high-throughput screening of process technologies, biorefineries workbooks and data/information visualization Work packages : : WP1, WP3, WP6.
Supervisor name: Dr Franjo Cecelja or someone with the same level of expertise and /or experience.
Objective
Refining and improving bio-refinery knowledge model in the open-model format and procedure for updating with new knowledge and tacit data - all prepared for expansion
Developing match-making engine for autonomous model integration
Developing semantic web publishing facility: automated generation of wiki and workbooks
Tasks and methodology
Task 1: Based on bio-refining knowledge model developed by ESR6.1, convert the knowledge model (ontology) into a open model format capable of updating with new tacit and explicit (data) knowledge on bio-refining
Task 2: Develop and match-making engine capable of semantic instance matching for model integration and possibly data presentation in requested and user-centric format
Task 3: Develop semantic web publishing facility for tacit and explicit knowledge publication in the form of wiki and/or workbooks.
Results
Deliverable 1: Full heavy-weight bio-refining knowledge model enabled to share and to grow - software tool ;
Deliverable 2: Match-making engine - software tool ; Deliverable 3: Semantic web publishing facility & web service
Dissemination
Year 1: 1 conference presentation + 1 journal paper on bio-refining knowledge model ; Year 2: 1 conference presentation + 1 journal paper on bio-refining wikki and workbook facility
Planned secondment
Secondment 1: Quantis (1 months) Industrial aspects of knowledge modelling
Secondment 2: Imperial (1 months) Visualisation of graphical and other systems