14.00, room 445, PCRI Abstract When developing data transformations – a task omnipresent in applications like data integration, data migration, data cleaning, or scientific data processing – developers quickly face the need to verify the semantic correctness of the transformation. Declarative specifications of data transformations, e.g., SQL or ETL~tools, increase developer productivity but usually provide …
Category: News
Permanent link to this article: https://team.inria.fr/oak/2013/02/15/melanie-herschel-the-nautilus-analyzer-understanding-and-debugging-data-transformations/
Feb 07
SIGMOD 2013: Fact checking and analyzing the Web
Fact checking and analyzing the Web by François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, Stamatis Zampetakis Demonstration in SIGMOD 2013
Permanent link to this article: https://team.inria.fr/oak/2013/02/07/sigmod-2013-fact-checking-and-analyzing-the-web/
Feb 01
Katerina Tzompanaki: Design and Implementation of a tool for formulating recall-oriented structured queries on semantic networks
14.00, room 455, PCRI Abstract In the recent years there is a trend towards the creation of massive metadata repositories, usually based on the RDF/S technology, as in the domain of cultural heritage. ISO21127 (CIDOC Conceptual Reference Model) is a rich conceptual model (or ontology) capable of describing the world stored in such repositories. Simpler …
Permanent link to this article: https://team.inria.fr/oak/2013/02/01/katerina-tzompanaki-design-and-implementation-of-a-tool-for-formulating-recall-oriented-structured-queries-on-semantic-networks/
Jan 16
OAKSaD associated team with UCSD
OAKSaD has been accepted as an international associated team between OAK and the database group of UCSD (A. Deutsch, Y. Papakonstantinou). Congrats and lots of success!
Permanent link to this article: https://team.inria.fr/oak/2013/01/16/oaksad/
Jan 10
Oak is an Inria project
Oak has been formally approved by Inria as a project (having been a team since April 2012). Congrats and lots of success!
Permanent link to this article: https://team.inria.fr/oak/2013/01/10/oak-is-a-project/
Dec 26
EDBT 2013: Processing XML Queries and Updates on Map/Reduce Clusters
Processing XML Queries and Updates on Map/Reduce Clusters by Nicole Bidoit, Dario Colazzo, Noor Malla, Maurizio Nolé, Carlo Sartiani and Federico Ulliana Demonstration in EDBT 2013
Permanent link to this article: https://team.inria.fr/oak/2012/12/26/edbt-2013-processing-xml-queries-and-updates-on-mapreduce-clusters/
Dec 21
EDBT 2013: Web Data Indexing in the Cloud: Efficiency and Cost Reductions
Web Data Indexing in the Cloud: Efficiency and Cost Reductions by Jesús Camacho-Rodríguez, Dario Colazzo and Ioana Manolescu in EDBT 2013
Permanent link to this article: https://team.inria.fr/oak/2012/12/21/edbt-2013-web-data-indexing-in-the-cloud-efficiency-and-cost-reductions/
Dec 21
EDBT 2013: Efficient Query Answering against Dynamic RDF Databases
Efficient Query Answering against Dynamic RDF Databases by François Goasdoué, Ioana Manolescu and Alexandra Roatiş in EDBT 2013
Permanent link to this article: https://team.inria.fr/oak/2012/12/21/edbt-2013-efficient-query-answering-against-dynamic-rdf-databases/
Dec 20
Yanlei Diao: Scalable, Low-Latency Data Analytics and its Applications
14.00, room 445, PCRI Abstract An integral part of many data-intensive applications is the need to collect and analyze enormous data sets, such as click streams, search logs, and sensor streams to derive answers and insights with low latencies. Concurrently, new programming models and architectures have been developed for large-scale cluster computing, exemplified by recent …
Permanent link to this article: https://team.inria.fr/oak/2012/12/20/yanlei-diao-scalable-low-latency-data-analytics-and-its-applications/
Dec 19
Themis Palpanas: Entity Resolution for Big Data
11.00, room 445, PCRI Abstract Highly heterogeneous data have boomed during the last decade, due to their largely distributed way of production: corporations of any size, individual users as well as automatic extraction tools have contributed a constantly increasing volume of heterogeneous and noisy information. Entity Resolution (ER) helps to reduce the corresponding entropy by …
Permanent link to this article: https://team.inria.fr/oak/2012/12/19/themis-palpanas-entity-resolution-for-big-data/
