(Semi-) Automatic Construction of Knowledge Graph Metadata

M. Mohammadi

doi:10.1007/978-3-031-11609-4_32

(Semi-) Automatic Construction of Knowledge Graph Metadata

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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Abstract

Recently a huge number of knowledge graphs (KGs) has been generated, but there has not been enough attention to generate high-quality metadata to enable users to reuse the KGs for their own purposes. The main challenge is to generate standardized and high quality descriptive metadata which helps users understand the content of the large KGs. Some existing solutions make use of a combination of schema-level patterns derived from graph summarization with instance-level snippets. I will follow this trend and develop a method based on a combination of content-based patterns with user activity data such as SPARQL query logs to make generated metadata more informative and useful than other developed approaches. The problem of current models is generating complex, long or insufficient metadata which I plan to tackle by proposing a guideline to generate standard metadata during my Ph.D.

Original language	English
Title of host publication	SEMANTIC WEB: ESWC 2022 SATELLITE EVENTS
Editors	Paul Groth, Anisa Rula, Jodi Schneider, Ilaria Tiddi, Elena Simperl, Panos Alexopoulos, Rinke Hoekstra, Mehwish Alam, Anastasia Dimou, Minna Tamper, Minna Tamper
Publisher	Springer International Publishing AG
Pages	171-178
Number of pages	8
Volume	13384
ISBN (Print)	9783031116087
DOIs	https://doi.org/10.1007/978-3-031-11609-4_32
Publication status	Published - 2022
Event	19th International European Semantic Web Conference (ESWC) - Hersonissos, Greece Duration: 29 May 2022 → 2 Jun 2022 https://2022.eswc-conferences.org/

Publication series

Series	Lecture Notes in Computer Science
Volume	13384
ISSN	0302-9743

Conference

Conference	19th International European Semantic Web Conference (ESWC)
Country/Territory	Greece
City	Hersonissos
Period	29/05/22 → 2/06/22
Internet address	https://2022.eswc-conferences.org/

Keywords

Metadata
Knowledge graph
FAIR
Graph summarization
SPARQL query logs

Access to Document

10.1007/978-3-031-11609-4_32

paper_PDFFinal published version, 273 KBLicence: CC0

Cite this

Mohammadi, M. / (Semi-) Automatic Construction of Knowledge Graph Metadata. SEMANTIC WEB: ESWC 2022 SATELLITE EVENTS. editor / Paul Groth ; Anisa Rula ; Jodi Schneider ; Ilaria Tiddi ; Elena Simperl ; Panos Alexopoulos ; Rinke Hoekstra ; Mehwish Alam ; Anastasia Dimou ; Minna Tamper ; Minna Tamper. Vol. 13384 Springer International Publishing AG, 2022. pp. 171-178 (Lecture Notes in Computer Science, Vol. 13384).

@inproceedings{da22649e7d9f46d2abbb177b1bef1cc5,

title = "(Semi-) Automatic Construction of Knowledge Graph Metadata",

abstract = "Recently a huge number of knowledge graphs (KGs) has been generated, but there has not been enough attention to generate high-quality metadata to enable users to reuse the KGs for their own purposes. The main challenge is to generate standardized and high quality descriptive metadata which helps users understand the content of the large KGs. Some existing solutions make use of a combination of schema-level patterns derived from graph summarization with instance-level snippets. I will follow this trend and develop a method based on a combination of content-based patterns with user activity data such as SPARQL query logs to make generated metadata more informative and useful than other developed approaches. The problem of current models is generating complex, long or insufficient metadata which I plan to tackle by proposing a guideline to generate standard metadata during my Ph.D.",

keywords = "Metadata, Knowledge graph, FAIR, Graph summarization, SPARQL query logs",

author = "M. Mohammadi",

note = "Funding Information: Acknowledgements. This research has been funded by the European Union{\textquoteright}s Horizon 2020 research and innovation program under the Marie Sk{\l}odowska-Curie project Knowgraphs (grant agreement ID: 860801). I would like to express my special thanks of gratitude to my advisors and collaborators Prof. Michel Dumontier, Prof Christopher Brewster, Dr. Remzi Celebi, Chang Sun and Vincent Emonet. Funding Information: This research has been funded by the European Union{\textquoteright}s Horizon 2020 research and innovation program under the Marie Sk{\l}odowska-Curie project Knowgraphs (grant agreement ID: 860801). I would like to express my special thanks of gratitude to my advisors and collaborators Prof. Michel Dumontier, Prof Christopher Brewster, Dr. Remzi Celebi, Chang Sun and Vincent Emonet. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 19th International European Semantic Web Conference (ESWC) ; Conference date: 29-05-2022 Through 02-06-2022",

year = "2022",

doi = "10.1007/978-3-031-11609-4_32",

language = "English",

isbn = "9783031116087",

volume = "13384",

series = "Lecture Notes in Computer Science",

publisher = "Springer International Publishing AG",

pages = "171--178",

editor = "Paul Groth and Anisa Rula and Jodi Schneider and Ilaria Tiddi and Elena Simperl and Panos Alexopoulos and Rinke Hoekstra and Mehwish Alam and Anastasia Dimou and Minna Tamper and Minna Tamper",

booktitle = "SEMANTIC WEB: ESWC 2022 SATELLITE EVENTS",

url = "https://2022.eswc-conferences.org/",

}

Mohammadi, M 2022, (Semi-) Automatic Construction of Knowledge Graph Metadata. in P Groth, A Rula, J Schneider, I Tiddi, E Simperl, P Alexopoulos, R Hoekstra, M Alam, A Dimou, M Tamper & M Tamper (eds), SEMANTIC WEB: ESWC 2022 SATELLITE EVENTS. vol. 13384, Springer International Publishing AG, Lecture Notes in Computer Science, vol. 13384, pp. 171-178, 19th International European Semantic Web Conference (ESWC), Hersonissos, Greece, 29/05/22. https://doi.org/10.1007/978-3-031-11609-4_32

(Semi-) Automatic Construction of Knowledge Graph Metadata. / Mohammadi, M.
SEMANTIC WEB: ESWC 2022 SATELLITE EVENTS. ed. / Paul Groth; Anisa Rula; Jodi Schneider; Ilaria Tiddi; Elena Simperl; Panos Alexopoulos; Rinke Hoekstra; Mehwish Alam; Anastasia Dimou; Minna Tamper; Minna Tamper. Vol. 13384 Springer International Publishing AG, 2022. p. 171-178 (Lecture Notes in Computer Science, Vol. 13384).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

TY - GEN

T1 - (Semi-) Automatic Construction of Knowledge Graph Metadata

AU - Mohammadi, M.

N1 - Funding Information: Acknowledgements. This research has been funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie project Knowgraphs (grant agreement ID: 860801). I would like to express my special thanks of gratitude to my advisors and collaborators Prof. Michel Dumontier, Prof Christopher Brewster, Dr. Remzi Celebi, Chang Sun and Vincent Emonet. Funding Information: This research has been funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie project Knowgraphs (grant agreement ID: 860801). I would like to express my special thanks of gratitude to my advisors and collaborators Prof. Michel Dumontier, Prof Christopher Brewster, Dr. Remzi Celebi, Chang Sun and Vincent Emonet. Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2022

Y1 - 2022

N2 - Recently a huge number of knowledge graphs (KGs) has been generated, but there has not been enough attention to generate high-quality metadata to enable users to reuse the KGs for their own purposes. The main challenge is to generate standardized and high quality descriptive metadata which helps users understand the content of the large KGs. Some existing solutions make use of a combination of schema-level patterns derived from graph summarization with instance-level snippets. I will follow this trend and develop a method based on a combination of content-based patterns with user activity data such as SPARQL query logs to make generated metadata more informative and useful than other developed approaches. The problem of current models is generating complex, long or insufficient metadata which I plan to tackle by proposing a guideline to generate standard metadata during my Ph.D.

AB - Recently a huge number of knowledge graphs (KGs) has been generated, but there has not been enough attention to generate high-quality metadata to enable users to reuse the KGs for their own purposes. The main challenge is to generate standardized and high quality descriptive metadata which helps users understand the content of the large KGs. Some existing solutions make use of a combination of schema-level patterns derived from graph summarization with instance-level snippets. I will follow this trend and develop a method based on a combination of content-based patterns with user activity data such as SPARQL query logs to make generated metadata more informative and useful than other developed approaches. The problem of current models is generating complex, long or insufficient metadata which I plan to tackle by proposing a guideline to generate standard metadata during my Ph.D.

KW - Metadata

KW - Knowledge graph

KW - FAIR

KW - Graph summarization

KW - SPARQL query logs

U2 - 10.1007/978-3-031-11609-4_32

DO - 10.1007/978-3-031-11609-4_32

M3 - Conference article in proceeding

SN - 9783031116087

VL - 13384

T3 - Lecture Notes in Computer Science

SP - 171

EP - 178

BT - SEMANTIC WEB: ESWC 2022 SATELLITE EVENTS

A2 - Groth, Paul

A2 - Rula, Anisa

A2 - Schneider, Jodi

A2 - Tiddi, Ilaria

A2 - Simperl, Elena

A2 - Alexopoulos, Panos

A2 - Hoekstra, Rinke

A2 - Alam, Mehwish

A2 - Dimou, Anastasia

A2 - Tamper, Minna

PB - Springer International Publishing AG

T2 - 19th International European Semantic Web Conference (ESWC)

Y2 - 29 May 2022 through 2 June 2022

ER -

Mohammadi M. (Semi-) Automatic Construction of Knowledge Graph Metadata. In Groth P, Rula A, Schneider J, Tiddi I, Simperl E, Alexopoulos P, Hoekstra R, Alam M, Dimou A, Tamper M, Tamper M, editors, SEMANTIC WEB: ESWC 2022 SATELLITE EVENTS. Vol. 13384. Springer International Publishing AG. 2022. p. 171-178. (Lecture Notes in Computer Science, Vol. 13384). doi: 10.1007/978-3-031-11609-4_32

(Semi-) Automatic Construction of Knowledge Graph Metadata

Abstract

Publication series

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Keywords

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