• xmlui.mirage2.page-structure.header.title
    • français
    • English
  • Help
  • Login
  • Language 
    • Français
    • English
View Item 
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesTypeThis CollectionBy Issue DateAuthorsTitlesType

My Account

LoginRegister

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors
Thumbnail - No thumbnail

Enabling community-driven information integration through clustering

Belhajjame, Khalid; Paton, Norman W.; Hedeler, Cornelia; Fernandes, Alvaro A. A. (2015), Enabling community-driven information integration through clustering, Distributed and Parallel Databases, 33, 1, p. 33-67. 10.1007/s10619-014-7160-z

Type
Article accepté pour publication ou publié
External document link
http://dx.doi.org/10.1007/s10619-014-7160-z
Date
2015
Journal name
Distributed and Parallel Databases
Volume
33
Number
1
Publisher
Springer
Pages
33-67
Publication identifier
10.1007/s10619-014-7160-z
Metadata
Show full item record
Author(s)
Belhajjame, Khalid
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Paton, Norman W.
University of Manchester
Hedeler, Cornelia
University of Manchester
Fernandes, Alvaro A. A.
University of Manchester
Abstract (EN)
It has become widely recognized that user feedback can play a fundamental role in facilitating information integration tasks, e.g., the construction of integration schema and the specification of schema mappings. While promising, existing proposals make the assumption that the users providing feedback expect the same results from the integration system. In practice, however, different users may anticipate different results, due, e.g., to their preferences or application of interest, in which case the feedback they provide may be conflicting, thereby deteriorating the quality of the services provided by the integration system. In this paper, we present clustering strategies for grouping information integration users into groups of users with similar expectations as to the results delivered by the integration system. As well as grouping information integration users, we show that clustering results can be used as inputs to a wide range of functionalities that are relevant in the context of crowd-driven information integration. Specifically, we show that clustering can be used to identify feedback of relevance to a given user by exploiting the feedback provided by other users in the same cluster. We report on evaluation exercises that assess the effectiveness of the clustering strategies we propose, and showcase the benefits community- and crowd-driven information integration can derive from clustering.
Subjects / Keywords
User feedback; Information integration; Clustering; Crowd; Dataspaces

Related items

Showing items related by title and author.

  • Thumbnail
    Pay-as-you-go Data Integration: Experiences and Recurring Themes 
    Paton, Norman W.; Belhajjame, Khalid; Embury, Suzanne; Fernandes, Alvaro A. A.; Maskat, Ruhaila (2016) Communication / Conférence
  • Thumbnail
    Efficient Feedback Collection for Pay-as-you-go Source Selection 
    Cortés Ríos, Julio César; Paton, Norman W.; Fernandes, Alvaro A. A.; Belhajjame, Khalid (2016) Communication / Conférence
  • Thumbnail
    Multi-level clustering for extracting process-related information from email logs 
    Jlailaty, Diana; Grigori, Daniela; Belhajjame, Khalid (2017) Communication / Conférence
  • Thumbnail
    Verification of Semantic Web Service Annotations Using Ontology-Based Partitioning 
    Belhajjame, Khalid; Embury, Suzanne; Paton, Norman W. (2014) Article accepté pour publication ou publié
  • Thumbnail
    Community Profiling for Crowdsourcing Queries 
    Belhajjame, Khalid; Brambilla, Marco; Grigori, Daniela; Mauri, Andrea (2014) Rapport
Dauphine PSL Bibliothèque logo
Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16
Phone: 01 44 05 40 94
Contact
Dauphine PSL logoEQUIS logoCreative Commons logo