QWeb: Querying the Web of Data Easily and Efficiently

  • Hose, Katja (PI)
  • Montoya, Gabriela (Project Participant)
  • Prado, Luis Antonio Galarraga Del (Project Participant)
  • Rouces, Jacobo (Project Participant)
  • Mathiassen, Kim Ahlstrøm Meyn (Project Participant)
  • Zervakis, Eleftherios (Project Participant)
  • Setty, Vinay (Project Participant)

Project Details

Description

Ever since the Internet came into existence, it has been a goal to make information available and accessible free of charge. In the past couple of years, we have witnessed the growing popularity of the Open Data movement and Semantic Web technologies, which have finally made large amounts of data available -- forming the Web of Data. But we are still missing technologies that actually make efficient use of it. Hence, QWeb's main goal is to develop breakthrough technologies based on Semantic Web standards, such as RDF and SPARQL, that overcome this gap and answer user queries easily and efficiently over the Web of Data. In particular, QWeb will not only make it possible to efficiently and extensively evaluate queries and find results that state-of-the-art techniques do not find but also to filter out the results that are most interesting to the user and provide explanations for them.
StatusFinished
Effective start/end date01/02/201531/10/2019

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • ESWC 2019 Best Demo Award Nomination

    Jakobsen, Anders Langballe (Recipient), Montoya, Gabriela (Recipient) & Hose, Katja (Recipient), 2019

    Prize: Conference prizes

  • ESWC 2019 Best Poster Award

    Ghose, Agneta (Recipient), Hose, Katja (Recipient), Lissandrini, Matteo (Recipient) & Weidema, Bo Pedersen (Recipient), 2019

    Prize: Conference prizes

  • Efficient Continuous Multi-Query Processing over Graph Streams

    Zervakis, E., Setty, V., Tryfonopoulos, C. & Hose, K., 2020, Advances in Database Technology - EDBT 2020: 23rd International Conference on Extending Database Technology, Proceedings. Bonifati, A., Zhou, Y., Vaz Salles, M. A., Bohm, A., Olteanu, D., Fletcher, G., Khan, A. & Yang, B. (eds.). OpenProceedings.org, p. 13-24 12 p. (Advances in Database Technology).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
    8 Citations (Scopus)
    132 Downloads (Pure)
  • A Decentralized Architecture for Sharing and Querying Semantic Data

    Aebeloe, C., Montoya, G. & Hose, K., 25 May 2019, The Semantic Web. Fernández, M., Zaveri, A., Hitzler, P., Haller, A., Janowicz, K., Hammar, K., Gray, A. J. G. & Lopez, V. (eds.). Portorož, Slovenia: Springer, Vol. 11503. p. 3-18 16 p. (Lecture Notes in Computer Science).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    File
    7 Citations (Scopus)
    161 Downloads (Pure)
  • Analysis of the Effect of Query Shapes on Performance over LDF Interfaces

    Montoya, G., Keles, I. & Hose, K., 2019, Proceedings of the QuWeDa 2019: 3rd Workshop on Querying and Benchmarking the Web of Data co-located with 18th International Semantic Web Conference (ISWC 2019). CEUR Workshop Proceedings, Vol. 2496. p. 51-66 16 p. (CEUR Workshop Proceedings).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
    2 Citations (Scopus)
    35 Downloads (Pure)