Discovering diversified paths in knowledge bases

Author:

Aebeloe Christian1,Montoya Gabriela1,Setty Vinay2,Hose Katja1

Affiliation:

1. Aalborg University, Denmark

2. Aalborg University, Denmark and University of Stavanger, Norway

Abstract

Vast amounts of world knowledge is now accessible through Knowledge Graphs (KGs) in RDF format and can be queried using SPARQL. Yet, finding paths between nodes in such graphs is not part of the official SPARQL 1.1 standard; only the simpler functionality of checking reachability is supported, i.e., assessing whether two nodes are connected based on certain conditions formalized as property paths but without providing information on how they are actually connected. To close this gap of functionality, we present J edi , a system that extends a popular SPARQL engine, Jena, with the ability to compute paths connecting entities in a KG. J edi shows the k most relevant results to the user where relevance is assessed as a trade-off between path length and diversification of the intermediate nodes in the path. Furthermore, our solution is not limited to a single property path pattern but supports queries containing multiple property path patterns. While J edi supports arbitrary KGs, for demonstration purposes some predefined KGs, such as YAGO and DBLP, will be used.

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Path Querying in Graph Databases: A Systematic Mapping Study;IEEE Access;2024

2. Full-Power Graph Querying: State of the Art and Challenges;Proceedings of the VLDB Endowment;2023-08

3. Integrating Connection Search in Graph Queries;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

4. Query-Based Entity Comparison in Knowledge Graphs Revisited;Lecture Notes in Computer Science;2019

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