Skyline Queries over Knowledge Graphs

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

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.
OriginalsprogEngelsk
TitelThe Semantic Web – ISWC 2019
ForlagSpringer
StatusAccepteret/In press - 2019
BegivenhedThe 18th International Semantic Web Conference, ISWC 2019 - Auckland, New Zealand
Varighed: 26 okt. 201930 okt. 2019
Konferencens nummer: 18th
https://iswc2019.semanticweb.org/

Konference

KonferenceThe 18th International Semantic Web Conference, ISWC 2019
Nummer18th
LandNew Zealand
ByAuckland
Periode26/10/201930/10/2019
Internetadresse
NavnLecture Notes in Computer Science
ISSN0302-9743

Fingerprint

Query processing
Decision making
Experiments

Citer dette

Keles, I., & Hose, K. (Accepteret/In press). Skyline Queries over Knowledge Graphs. I The Semantic Web – ISWC 2019 Springer. Lecture Notes in Computer Science
Keles, Ilkcan ; Hose, Katja. / Skyline Queries over Knowledge Graphs. The Semantic Web – ISWC 2019. Springer, 2019. (Lecture Notes in Computer Science).
@inproceedings{f1746e90713f4f718b312e931ff5712d,
title = "Skyline Queries over Knowledge Graphs",
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.",
author = "Ilkcan Keles and Katja Hose",
year = "2019",
language = "English",
booktitle = "The Semantic Web – ISWC 2019",
publisher = "Springer",
address = "Germany",

}

Keles, I & Hose, K 2019, Skyline Queries over Knowledge Graphs. i The Semantic Web – ISWC 2019. Springer, Lecture Notes in Computer Science, Auckland, New Zealand, 26/10/2019.

Skyline Queries over Knowledge Graphs. / Keles, Ilkcan; Hose, Katja.

The Semantic Web – ISWC 2019. Springer, 2019. (Lecture Notes in Computer Science).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Skyline Queries over Knowledge Graphs

AU - Keles, Ilkcan

AU - Hose, Katja

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

M3 - Article in proceeding

BT - The Semantic Web – ISWC 2019

PB - Springer

ER -

Keles I, Hose K. Skyline Queries over Knowledge Graphs. I The Semantic Web – ISWC 2019. Springer. 2019. (Lecture Notes in Computer Science).