Keynote
We are delighted to announce Ioana Manolescu as DOLAP's 2020 keynote speaker.
Ioana Manolescu is a senior researcher at Inria Saclay and a part-time professor at Ecole Polytechnique, France. She is the lead of the CEDAR INRIA team focusing on rich data analytics at cloud scale. She is a member of the PVLDB Endowment Board of Trustees, and has been recently an Associate Editor for PVLDB, a president of the ACM SIGMOD PhD Award Committee, and a chair of the IEEE ICDE conference. She has co-authored more than 130 articles in international journals and conferences, and contributed recently to a book on "Web Data Management" by S. Abiteboul, I. Manolescu, P. Rigaux, M.-C. Rousset and P. Senellart. Her main research interests algebraic and storage optimizations for semistructured data and in particular data models for the Semantic Web, novel data models and languages for complex data management, data models and algorithms for fact-checking, and distributed architectures for complex large data.
Exploring RDF Graphs through Summarization and Analytic Query Discovery Abstract: Graph data is central to many applications, ranging from social networks to scientific databases. Graph formats maximize the flexibility offered to data designers, as they are mostly schema-less and thus can be used to capture very heterogeneous-structure content. RDF, the W3C's format for sharing open (linked) data, adds the possibility to attach semantics to data, describing application-domain constraints by means of ontologies; in turn, this leads to implicit data that is also part of a graph even if it is not explicitly in it.