Details
| Original language | English |
|---|---|
| Title of host publication | Database and Expert Systems Applications |
| Subtitle of host publication | 35th International Conference, DEXA 2024, Proceedings |
| Editors | Christine Strauss, Toshiyuki Amagasa, Giuseppe Manco, Gabriele Kotsis, Ismail Khalil, A Min Tjoa |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 59-74 |
| Number of pages | 16 |
| ISBN (print) | 9783031683084 |
| Publication status | Published - 18 Aug 2024 |
| Event | 35th International Conference on Database and Expert Systems Applications, DEXA 2024 - Naples, Italy Duration: 26 Aug 2024 → 28 Aug 2024 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 14910 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
Knowledge graphs (KGs) are dynamic structures, often shaped by diverse user communities, leading to the emergence of alternative representations for the same concepts. These alternative definitions, while enriching KGs with complementary information, also pose a challenge for downstream tasks by potentially impeding the completeness of the retrieved information. This paper tackles the problem of identifying alternative definitions of predicates within KGs. We present SYRUP, a method designed to uncover conjunctions of predicates that encapsulate the same semantic relationship as a given predicate but offer complementary instances. Through SYRUP, we aim to augment KG completeness by harnessing these alternative representations. To assess the effectiveness of SYRUP, we conduct an empirical study using a benchmark of 60 SPARQL queries over DBpedia, comprising six distinct domains. Our experimental results demonstrate improvements in both the completeness and correctness of query answers, with accuracy levels ranging from 0.73 to 0.95. Furthermore, we make SYRUP openly accessible on GitHub (https://github.com/SDM-TIB/SYRUP/), enabling researchers to replicate our experiments and integrate SYRUP into workflows for KG enhancement.
Keywords
- Alternative Definition, Completeness, Knowledge Graph
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Database and Expert Systems Applications : 35th International Conference, DEXA 2024, Proceedings. ed. / Christine Strauss; Toshiyuki Amagasa; Giuseppe Manco; Gabriele Kotsis; Ismail Khalil; A Min Tjoa. Springer Science and Business Media Deutschland GmbH, 2024. p. 59-74 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14910 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Completing Predicates Based on Alignment Rules from Knowledge Graphs
AU - Niazmand, Emetis
AU - Vidal, Maria Esther
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/8/18
Y1 - 2024/8/18
N2 - Knowledge graphs (KGs) are dynamic structures, often shaped by diverse user communities, leading to the emergence of alternative representations for the same concepts. These alternative definitions, while enriching KGs with complementary information, also pose a challenge for downstream tasks by potentially impeding the completeness of the retrieved information. This paper tackles the problem of identifying alternative definitions of predicates within KGs. We present SYRUP, a method designed to uncover conjunctions of predicates that encapsulate the same semantic relationship as a given predicate but offer complementary instances. Through SYRUP, we aim to augment KG completeness by harnessing these alternative representations. To assess the effectiveness of SYRUP, we conduct an empirical study using a benchmark of 60 SPARQL queries over DBpedia, comprising six distinct domains. Our experimental results demonstrate improvements in both the completeness and correctness of query answers, with accuracy levels ranging from 0.73 to 0.95. Furthermore, we make SYRUP openly accessible on GitHub (https://github.com/SDM-TIB/SYRUP/), enabling researchers to replicate our experiments and integrate SYRUP into workflows for KG enhancement.
AB - Knowledge graphs (KGs) are dynamic structures, often shaped by diverse user communities, leading to the emergence of alternative representations for the same concepts. These alternative definitions, while enriching KGs with complementary information, also pose a challenge for downstream tasks by potentially impeding the completeness of the retrieved information. This paper tackles the problem of identifying alternative definitions of predicates within KGs. We present SYRUP, a method designed to uncover conjunctions of predicates that encapsulate the same semantic relationship as a given predicate but offer complementary instances. Through SYRUP, we aim to augment KG completeness by harnessing these alternative representations. To assess the effectiveness of SYRUP, we conduct an empirical study using a benchmark of 60 SPARQL queries over DBpedia, comprising six distinct domains. Our experimental results demonstrate improvements in both the completeness and correctness of query answers, with accuracy levels ranging from 0.73 to 0.95. Furthermore, we make SYRUP openly accessible on GitHub (https://github.com/SDM-TIB/SYRUP/), enabling researchers to replicate our experiments and integrate SYRUP into workflows for KG enhancement.
KW - Alternative Definition
KW - Completeness
KW - Knowledge Graph
UR - http://www.scopus.com/inward/record.url?scp=85202204599&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-68309-1_5
DO - 10.1007/978-3-031-68309-1_5
M3 - Conference contribution
AN - SCOPUS:85202204599
SN - 9783031683084
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 59
EP - 74
BT - Database and Expert Systems Applications
A2 - Strauss, Christine
A2 - Amagasa, Toshiyuki
A2 - Manco, Giuseppe
A2 - Kotsis, Gabriele
A2 - Khalil, Ismail
A2 - Tjoa, A Min
PB - Springer Science and Business Media Deutschland GmbH
T2 - 35th International Conference on Database and Expert Systems Applications, DEXA 2024
Y2 - 26 August 2024 through 28 August 2024
ER -