Anisa Rula

Position

Research follow at the University of Milano-Bicocca.

Research activities and skills

Topics of interest include: methodologies for quality assessment in Linked Data, tools for measuring and improving Big Data quality, temporal information extraction for enriching structured data.

Most Relevant Publication

Spahiu, B., Porrini, R., Palmonari, M., Rula, A., & Maurino, A. (2016). ABSTAT: Ontology-driven Linked Data Summaries with Pattern Minimalization. Intervento presentato a: Extended Semantic Web Conference, Creta. 

Spahiu, B., Xie, C., Rula, A., Maurino, A., & Cai, H. (2016). Profiling Similarity Links in LOD. Intervento presentato a: Data Engineering meets Semantic Web, Helsinki. 

Spahiu, B., Porrini, R., Palmonari, M., Rula, A., & Maurino, A. (2016). ABSTAT: Ontology-driven Linked Data summaries with pattern minimalization. In Proceedings of the 2nd International Workshop on Summarizing and Presenting Entities and Ontologies (SumPre 2016) [co-located with the 13th Extended Semantic Web Conference (ESWC 2016)], Anissaras, Greece, May 30, 2016. CEUR-WS. 

Spahiu, B., Porrini, R., Palmonari, M., Rula, A., & Maurino, A. (2016). ABSTAT: Ontology-driven linked data summaries with pattern minimalization. In The Semantic Web ESWC 2016 Satellite Events, Heraklion, Crete, Greece, May 29 – June 2, 2016, Revised Selected Papers (pp.381-395). Springer Verlag. 

Palmonari, M., Rula, A., Porrini, R., Maurino, A., Spahiu, B., & Ferme, V. (2015). ABSTAT: Linked Data Summaries with ABstraction and STATistics. In The Semantic Web: ESWC 2015 Satellite Events ESWC 2015 Satellite Events Portorož, Slovenia, May 31 – June 4, 2015, Revised Selected Papers (pp.128-132). 

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