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Ioana Manolescu
Researcher at French Institute for Research in Computer Science and Automation
Publications - 238
Citations - 6906
Ioana Manolescu is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: XML & RDF. The author has an hindex of 38, co-authored 231 publications receiving 6643 citations. Previous affiliations of Ioana Manolescu include École Polytechnique & Association for Computing Machinery.
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Book ChapterDOI
XMark: a benchmark for XML data management
Albrecht Schmidt,Florian Waas,Martin L. Kersten,Michael J. Carey,Ioana Manolescu,Ralph Busse +5 more
TL;DR: This work provides a framework to assess the abilities of an XML database to cope with a broad range of different query types typically encountered in real-world scenarios and offers a set of queries where each query is intended to challenge a particular aspect of the query processor.
Proceedings Article
Answering XML Queries on Heterogeneous Data Sources
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The XML benchmark project
Albrecht Schmidt,Florian Waas,Martin L. Kersten,Daniela Florescu,Ioana Manolescu,Michael J. Carey,Ralph Busse +6 more
TL;DR: The XML Store Benchmark Project provides a framework to assess an XML database''s abilities to cope with a broad spectrum of different queries, typically posed in real-world application scenarios, and offers a set of queries each of which is intended to challenge a particular primitive of the query processor or storage engine.
Proceedings Article
Proceedings of the 17th ACM conference on Information and knowledge management
James G. Shanahan,Sihem Amer-Yahia,Ioana Manolescu,Yi Zhang,David A. Evans,Alek Kolcz,Key-Sun Choi,Abdur Chowdury +7 more
TL;DR: The composition of a query plan for a group-by skyline query is examined and the missing cost model for the BBS algorithm is developed and Experimental results show that the techniques are able to devise the best query plans for a variety of group- by skyline queries.
Journal ArticleDOI
Integrating keyword search into XML query processing
TL;DR: This work proposes an extension to XML query languages that enables keyword search at the granularity of XML elements, that helps novice users formulate queries, and also yields new optimization opportunities for the query processor.