Andrés has finished his 2-years contract and made a small farewell party yesterday. Thank you Andrés, and good luck!
Permanent link to this article: https://team.inria.fr/oak/2013/10/17/andres-farewell-party/
Oct 14
OAK in Fête de la Science 2013
Oak partipated in representing Inria Saclay at Fête de la Science 2013. Alexandra, Tushar, Stamatis, Katerina, Dario and Ioana took turns in presenting RDF graphs, views and warehouses to 400+ visitors!
Permanent link to this article: https://team.inria.fr/oak/2013/10/14/oak-in-fete-de-la-science-2013/
Oct 06
PVLDB 2014: Delta: Scalable Data Dissemination under Capacity Constraints
“Delta: Scalable Data Dissemination under Capacity Constraints”, by Konstantinos Karanasos, Asterios Katsifodimos and Ioana Manolescu has been accepted for publication in PVLDB 2014.
Permanent link to this article: https://team.inria.fr/oak/2013/10/06/pvldb-delta-scalable-data-dissemination-under-capacity-constraints/
Oct 04
Raphaël Bonaque: Trustworthiness Inference in Wikipedia
15.00, room 445, PCRI
Abstract
Wikipedia is one of the most used information source, however being freely editable raises concerns over the quality of this information. Using Wikitrust, a trust network over Wikipedia created by DBWeb, we will try and tackle one of the major challenges of the online encyclopedia : create a trustworthiness model of its content.
Permanent link to this article: https://team.inria.fr/oak/2013/10/04/raphael-bonaque-trustworthiness-inference-in-wikipedia/
Sep 27
Stefano Ceri: Multi-Platform, Reactive Crowdsourcing
14.00, room 455, PCRI
Abstract
In recent years, we developed CrowdSearcher, which integrates a conceptual framework, a specification procedure and a reactive execution control environment for designing, deploying, and monitoring crowd-based applications on top of social systems, including social networks and crowdsourcing platforms.
We show how social platforms, such as Facebook or Twitter, can be used for crowdsourcing search-related tasks, side by side with traditional crowdsourcing platforms; and we show how controlling the quality of performers and of results can lead to increased performance and interoperability.
The contribution of this talk is a broad vision that brings together crowdsourcing, social networking, expertise finding, reactive rules and multi-platform system integration, at the purpose of increasing effectiveness of crowd-based applications.
Short bio
Stefano Ceri is professor of Database Systems at the Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB) of Politecnico di Milano. He was visiting professor at the Computer Science Department of Stanford University (1983-1990), and he is the director of Alta Scuola Politecnica, the school of excellence for top-level master students selected from Engineering, Architecture, and Design Faculties of Politecnico di Milano and Politecnico di Torino. His research work covers over three decades (1976-2013) and has been generally concerned with extending database technologies in order to incorporate new features: distribution, object-orientation, rules, streaming data; with the advent of the Web, his research has been targeted towards the engineering of Web-based applications and search systems. More recently he turned to crowdsearching and to genomic computing. He was awarded an advanced ERC Grant on Search Computing (November 2008-October 2013), described in http://www.search-computing.it. He is national coordinator of the PRIN Project GenData 2020, focused on building query and data analysis systems for genomic data as produced by fast DNA sequencing technology (February 2013-January 2016). He is author of about 300 publications on international journals and conferences (H index 57) and of 10 international books; the book Web Information Retrieval is in print (Springer-Verlag). He is co-editor in chief (with Mike Carey) of the book series “Data Centric Systems and Applications” (Springer-Verlag). He is the recipient of the ACM-SIGMOD “Edward T. Codd Innovation Award” (New York, June 26, 2013).
Permanent link to this article: https://team.inria.fr/oak/2013/09/27/stefano-ceri-multi-platform-reactive-crowdsourcing/
Sep 26
Julien Leblay: Optimization Techniques for Semistructured Semantic Web Data
Julien defended his PhD thesis on Sept 27, 4 pm, room 435
Jury:
François Goasdoué, Professor, Univ. Rennes 1
Ioana Manolescu, DR, Inria Saclay
Bernd Amann, Professor, Univ. Pierre et Marie Curie
Stefano Ceri, Professor, Politecnico di Milano, Italy
David Gross-Amblard, Professor, Univ. de Rennes 1
Christine Froidevaux, Professor, Univ. Paris-Sud
Abstract:
Since the beginning of the Semantic Web, RDF and SPARQL have become the standard data model and query language to describe resources on the Web. Large amounts of RDF data are now available either as stand-alone datasets or as metadata over semi-structured documents, typically XML. The ability to apply RDF annotations over XML data emphasizes the need to represent and query data and metadata simultaneously. While significant efforts have been invested into producing and publishing annotations manually or automatically, little attention has been devoted to exploiting such data.
This thesis aims at setting database foundations for the management of hybrid XML-RDF data. We present a data model capturing the structural aspects of XML data and the semantics of RDF. Our model is general enough to describe pure XML or RDF datasets, as well as RDF-annotated XML data, where any XML node can act as a resource. We also introduce the XRQ query language that combines features of both XQuery and SPARQL. XRQ not only allows querying the structure of documents and the semantics of their annotations, but also producing annotated semi-structured data on-the-fly.
We introduce the problem of query composition in XRQ, and exhaustively study query evaluation techniques for XR data to demonstrate the feasibility of this data management setting. We have developed an XR platform on top of well-known data management systems for XML and RDF. The platform features several query processing algorithms, whose performance is experimentally compared. We present an application built on top of the XR platform. The application provides manual and automatic annotation tools, and an interface to query annotated Web page and publicly available XML and RDF datasets concurrently. As a generalization of RDF and SPARQL, XR and XRQ enables RDFS-type of query answering. In this respect, we present a technique to support RDFS-entailments in RDF (and by extension XR) data management systems.
Permanent link to this article: https://team.inria.fr/oak/2013/09/26/julien-leblay-optimization-techniques-for-semistructured-semantic-web-data/
Sep 25
PEPS interdisciplinary project BizModel4Cloud accepted
This exploratory one-year collaborative research project was funded jointly by the CNRS and the IDEX Paris-Saclay. It is coordinated by Ahmed Bounfour from the PESOR lab of U. Paris-Sud, and involves I. Manolescu, N. Bidoit and B. Cautis from OAK as well as V. Fernandez from Telecom ParisTech. The project aims at developing a common conceptual framework for the analysis and specification of business models based on the cloud.
Permanent link to this article: https://team.inria.fr/oak/2013/09/25/peps-interdisciplinary-project-bizmodel4cloud-accepted/
Sep 23
CIKM 2013 Tutorial: Entity Resolution in the Web of Data
The tutorial “Entity Resolution in the Web of Data” by Kostas Stefanidis, Vasilis Efthymiou, Melanie Herschel and Vassilis Christophides has been accepted for presentation at CIKM 2013.
Permanent link to this article: https://team.inria.fr/oak/2013/09/23/cikm-2013-tutorial-entity-resolution-in-the-web-of-data/
Sep 13
Soudip Roy Chowdhury: Assisted Reuse of Pattern-Based Composition Knowledge for Mashup Development
13.45, room 445, PCRI
Abstract
Web mashup or mashup development is a Web 2.0 software development approach in which users are expected to create applications by combining data sources, application logic and UI components together to cater for their situational application needs. However, in reality creating even a simple mashup application is a complex task and that can only be managed by skilled developers.
Examples of ready mashup models are one of the main sources of help for users who don’t know how to design a mashup, provided that suitable examples can be found (examples that have an analogy with the modeling situation faced by the user). Tutorials, expert colleagues or friends, etc. are few other typical means to find development help. However, searching for such kind of help does not always lead to a success, and retrieved information is only seldom immediately usable as it is, since the retrieved pieces of information are not contextual. Motivated by the development challenges faced by a naive user of existing mashup tools, in this research the main focus is to aid less- skilled users in mashup development by enabling assisted reuse of pattern-based composition knowledge. In this talk I will demonstrate how such development assistance can be provided with the help of contextual, interactive recommendations of composition patterns that are harvested from the existing composition models in mashup tools. I will explain in details how the related challenges for this research thread are tackled from the algorithmic as well as from the application perspectives. I will briefly explain the primary assumptions behind this research as well as I will report the result of my research and demonstrate the efficiency of new set of algorithms for contextual pattern retrieval and reuse.
Permanent link to this article: https://team.inria.fr/oak/2013/09/13/soudip-roy-chowdhury-assisted-reuse-of-pattern-based-composition-knowledge-for-mashup-development/
Jul 13
Four papers accepted in BDA 2013
“Answering Why-Not Questions”
Nicole Bidoit, Melanie Herschel and Katerina Tzompanaki
“CliqueSquare: Efficient Hadoop-Based RDF Query Processing”
Francois Goasdoue, Zoi Kaoudi, Ioana Manolescu, Jorge Quiane-Ruiz and Stamatis Zampetakis
“Delta: Scalable Data Dissemination under Capacity Constraints”
Konstantinos Karanasos, Asterios Katsifodimos and Ioana Manolescu
“Warehousing RDF Graphs”
Dario Colazzo, Francois Goasdoue, Ioana Manolescu and Alexandra Roatis
Permanent link to this article: https://team.inria.fr/oak/2013/07/13/four-papers-accepted-in-bda-2013/
