Abstractive and Extractive Entity Summarisation for Usability and Expressiveness in Entity-centric Publish/Subscribe Systems

This research involves the exploration of summarisation and approximation techniques of graph streams in Publish/Subscribe Systems. The goal is a creation of an entity-centric Publish/Subscribe System that offers data expressiveness and high usability.


Niki Pavlopoulou

Dr Edward Curry

Institution: NUI Galway


Relevant Publications

[7] Niki Pavlopoulou, Edward Curry, "IoTSAX: A Dynamic Abstractive Entity Summarisation Approach with Approximation and Embedding-based Reasoning Rules in Publish/Subscribe Systems", In IEEE Internet of Things Journal, pp. 1-1, 2021. [bib] [pdf] [doi]
[6] Ernestina Menasalvas, Nik Swoboda, Ana Moreno, Andreas Metzger, Aristide Rothweiler, Niki Pavlopoulou, Edward Curry, "Recognition of Formal and Non-formal Training in Data Science", Chapter in The Elements of Big Data Value, Springer International Publishing, Cham, pp. 311-332, 2021. [bib] [pdf] [doi]
[5] Edward Curry, Edo Osagie, Niki Pavlopoulou, Dhaval Salwala, Adegboyega Ojo, "A Best Practice Framework for Centres of Excellence in Big Data and Artificial Intelligence", Chapter in The Elements of Big Data Value, Springer International Publishing, Cham, pp. 177-210, 2021. [bib] [pdf] [doi]
[4] Niki Pavlopoulou, Edward Curry, "Using Embeddings for Dynamic Diverse Summarisation in Heterogeneous Graph Streams", In 2019 First International Conference on Graph Computing (GC), IEEE, pp. 5-12, 2019. [bib] [pdf] [doi]
[3] N. Pavlopoulou, E. Curry, "Towards a Window-based Diverse Entity Summarisation Engine in Publish/Subscribe Systems", In CEUR Workshop Proceedings, vol. 2446, 2019. [bib]
[2] Niki Pavlopoulou, Edward Curry, "Towards a window-based diverse entity summarisation engine in publish/subscribe systems", In Proceedings of EYRE 19: 2nd International Workshop on Entity Retrieval, ACM, pp. 32-29, 2019. [bib] [pdf]
[1] Tarek Zaarour, Niki Pavlopoulou, Souleiman Hasan, Umair ul Hassan, Edward Curry, "Automatic Anomaly Detection over Sliding Windows", In Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, ACM, New York, NY, USA, pp. 310-314, 2017. [bib] [pdf] [doi]
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