Projekter pr. år
Abstract
With the continuously growing amount of data offered in the form of knowledge graphs, users are often overwhelmed by the amount of potentially relevant information and entities. Hence, helping users find relevant data is a problem that becomes more and more important. Skyline queries are typically used in multi-criteria decision making applications to find a set of objects that are of interest to a user. This type of queries has been extensively studied over relational data in the database community. But only little attention has yet been paid to investigating if and how the skyline principle can help identifying sets of interesting entities in knowledge graphs. In this paper, we therefore show how the skyline principle can be applied to RDF knowledge graphs and help the user find interesting entities. In particular, we present algorithms using commonly used standard interfaces for accessing RDF data and a lightweight extension of existing interfaces (SkyTPF) to process skyline queries. Our experiments show that the proposed algorithms enable efficient and scalable skyline query processing over knowledge graphs.
Originalsprog | Engelsk |
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Titel | The Semantic Web – ISWC 2019 - 18th International Semantic Web Conference, Proceedings |
Redaktører | Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtech Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon |
Antal sider | 18 |
Forlag | Springer |
Publikationsdato | 17 okt. 2019 |
Sider | 293-310 |
ISBN (Trykt) | 978-3-030-30792-9 |
ISBN (Elektronisk) | 978-3-030-30793-6 |
DOI | |
Status | Udgivet - 17 okt. 2019 |
Begivenhed | The 18th International Semantic Web Conference, ISWC 2019 - Auckland, New Zealand Varighed: 26 okt. 2019 → 30 okt. 2019 Konferencens nummer: 18th https://iswc2019.semanticweb.org/ |
Konference
Konference | The 18th International Semantic Web Conference, ISWC 2019 |
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Nummer | 18th |
Land/Område | New Zealand |
By | Auckland |
Periode | 26/10/2019 → 30/10/2019 |
Internetadresse |
Navn | Lecture Notes in Computer Science |
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Vol/bind | 11778 |
ISSN | 0302-9743 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Skyline Queries over Knowledge Graphs'. Sammen danner de et unikt fingeraftryk.-
Poul Due Jensen Professorate in Big Data and Artificial Intelligence
Hose, K., Jendal, T. E. & Hansen, E. R.
01/11/2019 → 31/10/2024
Projekter: Projekt › Forskning
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QWeb: Querying the Web of Data Easily and Efficiently
Hose, K., Montoya, G., Prado, L. A. G. D., Rouces, J., Mathiassen, K. A. M., Zervakis, E. & Setty, V.
01/02/2015 → 31/10/2019
Projekter: Projekt › Forskning