loading
Papers

Research.Publish.Connect.

Paper

Authors: Hrag Yoghourdjian ; Shady Elbassuoni ; Mohamad Jaber and Hiba Arnaout

Affiliation: American University of Beirut, Lebanon

ISBN: 978-989-758-271-4

Keyword(s): RDF, Knowledge Graphs, Top-k Search, Keyword Search, Ranking, Wikipedia.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Foundations of Knowledge Discovery in Databases ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: Effective keyword search over RDF knowledge graphs is still an ongoing endeavor. Most existing techniques have their own limitations in terms of the unit of retrieval, the type of queries supported or the basis on which the results are ranked. In this paper, we develop a novel retrieval model for general keyword queries over Wikipedia-based RDF knowledge graphs. Our model retrieves the top-k scored subgraphs for a given keyword query. To do this, we develop a scoring function for RDF subgraphs and then we deploy a graph searching algorithm that only retrieves the top-k scored subgraphs for the given query based on our scoring function. We evaluate our retrieval model and compare it to state-of-the-art approaches using YAGO, a large Wikipedia-based RDF knowledge graph.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.204.227.250

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Yoghourdjian, H.; Elbassuoni, S.; Jaber, M. and Arnaout, H. (2017). Top-k Keyword Search over Wikipedia-based RDF Knowledge Graphs.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 17-26. DOI: 10.5220/0006411400170026

@conference{kdir17,
author={Hrag Yoghourdjian. and Shady Elbassuoni. and Mohamad Jaber. and Hiba Arnaout.},
title={Top-k Keyword Search over Wikipedia-based RDF Knowledge Graphs},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={17-26},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006411400170026},
isbn={978-989-758-271-4},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Top-k Keyword Search over Wikipedia-based RDF Knowledge Graphs
SN - 978-989-758-271-4
AU - Yoghourdjian, H.
AU - Elbassuoni, S.
AU - Jaber, M.
AU - Arnaout, H.
PY - 2017
SP - 17
EP - 26
DO - 10.5220/0006411400170026

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.