Building Knowledge Subgraphs in Question Answering over Knowledge Graphs

Sareh Aghaei; Kevin Angele; Anna Fensel

doi:10.1007/978-3-031-09917-5_16

Building Knowledge Subgraphs in Question Answering over Knowledge Graphs

Sareh Aghaei^*, Kevin Angele, Anna Fensel

^*Corresponding author for this work

Data Competence Centre

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

1 Citation (Scopus)

Abstract

Question answering over knowledge graphs targets to leverage facts in knowledge graphs to answer natural language questions. The presence of large number of facts, particularly in huge and well-known knowledge graphs such as DBpedia, makes it difficult to access the knowledge graph for each given question. This paper describes a generic solution based on Personal Page Rank for extracting a small subset from the knowledge graph as a knowledge subgraph which is likely to capture the answer of the question. Given a natural language question, relevant facts are determined by a bi-directed propagation process based on Personal Page Rank. Experiments are conducted over FreeBase, DBPedia and WikiMovie to demonstrate the effectiveness of the approach in terms of recall and size of the extracted knowledge subgraphs.

Original language	English
Title of host publication	Web Engineering - 22nd International Conference, ICWE 2022, Proceedings
Editors	Tommaso Di Noia, In-Young Ko, Markus Schedl, Carmelo Ardito
Place of Publication	Cham
Publisher	Springer
Pages	237-251
Number of pages	15
ISBN (Print)	9783031099168
DOIs	https://doi.org/10.1007/978-3-031-09917-5_16
Publication status	Published - 2022
Event	22nd International Conference on Web Engineering, ICWE 2022 - Bari, Italy Duration: 5 Jul 2022 → 8 Jul 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13362 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Web Engineering, ICWE 2022
Country/Territory	Italy
City	Bari
Period	5/07/22 → 8/07/22

Keywords

Knowledge graphs
Knowledge subgraph
Personal Page Rank
Question answering systems

Access to Document

10.1007/978-3-031-09917-5_16

https://edepot.wur.nl/575197Licence: Taverne

Cite this

Aghaei, S., Angele, K., & Fensel, A. (2022). Building Knowledge Subgraphs in Question Answering over Knowledge Graphs. In T. Di Noia, I-Y. Ko, M. Schedl, & C. Ardito (Eds.), Web Engineering - 22nd International Conference, ICWE 2022, Proceedings (pp. 237-251). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13362 LNCS). Springer. https://doi.org/10.1007/978-3-031-09917-5_16

Aghaei, Sareh ; Angele, Kevin ; Fensel, Anna. / Building Knowledge Subgraphs in Question Answering over Knowledge Graphs. Web Engineering - 22nd International Conference, ICWE 2022, Proceedings. editor / Tommaso Di Noia ; In-Young Ko ; Markus Schedl ; Carmelo Ardito. Cham : Springer, 2022. pp. 237-251 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Building Knowledge Subgraphs in Question Answering over Knowledge Graphs",

abstract = "Question answering over knowledge graphs targets to leverage facts in knowledge graphs to answer natural language questions. The presence of large number of facts, particularly in huge and well-known knowledge graphs such as DBpedia, makes it difficult to access the knowledge graph for each given question. This paper describes a generic solution based on Personal Page Rank for extracting a small subset from the knowledge graph as a knowledge subgraph which is likely to capture the answer of the question. Given a natural language question, relevant facts are determined by a bi-directed propagation process based on Personal Page Rank. Experiments are conducted over FreeBase, DBPedia and WikiMovie to demonstrate the effectiveness of the approach in terms of recall and size of the extracted knowledge subgraphs.",

keywords = "Knowledge graphs, Knowledge subgraph, Personal Page Rank, Question answering systems",

author = "Sareh Aghaei and Kevin Angele and Anna Fensel",

note = "Funding Information: This research has been supported by the project WordLiftNG within the Eureka, Eurostars Programme (grant agreement number 877857 with the Austrian Research Promotion Agency (FFG)) and the project KI-NET within the Interreg Osterreich-Bayern 2014–2020 programme (grant agreement number AB 292). Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 22nd International Conference on Web Engineering, ICWE 2022 ; Conference date: 05-07-2022 Through 08-07-2022",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Aghaei, S, Angele, K & Fensel, A 2022, Building Knowledge Subgraphs in Question Answering over Knowledge Graphs. in T Di Noia, I-Y Ko, M Schedl & C Ardito (eds), Web Engineering - 22nd International Conference, ICWE 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13362 LNCS, Springer, Cham, pp. 237-251, 22nd International Conference on Web Engineering, ICWE 2022, Bari, Italy, 5/07/22. https://doi.org/10.1007/978-3-031-09917-5_16

Building Knowledge Subgraphs in Question Answering over Knowledge Graphs. / Aghaei, Sareh; Angele, Kevin; Fensel, Anna.
Web Engineering - 22nd International Conference, ICWE 2022, Proceedings. ed. / Tommaso Di Noia; In-Young Ko; Markus Schedl; Carmelo Ardito. Cham: Springer, 2022. p. 237-251 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13362 LNCS).

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

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AU - Aghaei, Sareh

AU - Angele, Kevin

AU - Fensel, Anna

N1 - Funding Information: This research has been supported by the project WordLiftNG within the Eureka, Eurostars Programme (grant agreement number 877857 with the Austrian Research Promotion Agency (FFG)) and the project KI-NET within the Interreg Osterreich-Bayern 2014–2020 programme (grant agreement number AB 292). Publisher Copyright: © 2022, Springer Nature Switzerland AG.

PY - 2022

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N2 - Question answering over knowledge graphs targets to leverage facts in knowledge graphs to answer natural language questions. The presence of large number of facts, particularly in huge and well-known knowledge graphs such as DBpedia, makes it difficult to access the knowledge graph for each given question. This paper describes a generic solution based on Personal Page Rank for extracting a small subset from the knowledge graph as a knowledge subgraph which is likely to capture the answer of the question. Given a natural language question, relevant facts are determined by a bi-directed propagation process based on Personal Page Rank. Experiments are conducted over FreeBase, DBPedia and WikiMovie to demonstrate the effectiveness of the approach in terms of recall and size of the extracted knowledge subgraphs.

AB - Question answering over knowledge graphs targets to leverage facts in knowledge graphs to answer natural language questions. The presence of large number of facts, particularly in huge and well-known knowledge graphs such as DBpedia, makes it difficult to access the knowledge graph for each given question. This paper describes a generic solution based on Personal Page Rank for extracting a small subset from the knowledge graph as a knowledge subgraph which is likely to capture the answer of the question. Given a natural language question, relevant facts are determined by a bi-directed propagation process based on Personal Page Rank. Experiments are conducted over FreeBase, DBPedia and WikiMovie to demonstrate the effectiveness of the approach in terms of recall and size of the extracted knowledge subgraphs.

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KW - Knowledge subgraph

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DO - 10.1007/978-3-031-09917-5_16

M3 - Conference paper

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Web Engineering - 22nd International Conference, ICWE 2022, Proceedings

A2 - Di Noia, Tommaso

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A2 - Ardito, Carmelo

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Y2 - 5 July 2022 through 8 July 2022

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Aghaei S, Angele K, Fensel A. Building Knowledge Subgraphs in Question Answering over Knowledge Graphs. In Di Noia T, Ko I-Y, Schedl M, Ardito C, editors, Web Engineering - 22nd International Conference, ICWE 2022, Proceedings. Cham: Springer. 2022. p. 237-251. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-09917-5_16