Interface to Query and Visualise Definitions from a Knowledge Base

Anelia Kurteva; Hélène De Ribaupierre

doi:10.1007/978-3-030-74296-6_1

Interface to Query and Visualise Definitions from a Knowledge Base

Anelia Kurteva^*
, Hélène De Ribaupierre

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Linked data is at the core of the Web due to its ability to model real world entities, connect them via relationships and provide context, which could help to transform data into information and information into knowledge. For example, ontologies, which could be stored locally or could be made available to everyone online (e.g. the DBpedia knowledge base). However, both access and usage of Linked Data require individuals to have knowledge in the field of the Semantic Web. Many of the existing solutions are developed for specific use cases such as building and exploring ontologies visually and are aimed at expert users. The solutions that are aimed at non-experts are generic and, in most cases, a data visualisation is not available. In this paper, we present a web application with a user interface (UI), which combines features from applications for both expert and non-experts. The UI allows individuals with no previous knowledge of the Semantic Web to query the DBpedia knowledge base for definitions of a specific word and to view a graphical visualisation of the query results (the search keyword itself and concepts related to it).

Original language	English
Title of host publication	Web Engineering
Subtitle of host publication	21st International Conference, ICWE 2021, Biarritz, France, May 18–21, 2021, Proceedings
Editors	Marco Brambilla, Richard Chbeir, Flavius Frasincar, Ioana Manolescu
Publisher	Springer
Pages	3-10
Number of pages	8
ISBN (Electronic)	9783030742966
ISBN (Print)	9783030742959
DOIs	https://doi.org/10.1007/978-3-030-74296-6_1
Publication status	Published - 11 May 2021
Event	21st International Conference on Web Engineering, ICWE 2021 - Virtual, Online Duration: 18 May 2021 → 21 May 2021 https://icwe2021.webengineering.org/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	12706
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Web Engineering, ICWE 2021
City	Virtual, Online
Period	18/05/21 → 21/05/21
Internet address	https://icwe2021.webengineering.org/

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

Comprehension
Graphical visualisation
Human-computer interaction
Knowledge base
Linked data
User interface

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-74296-6_1Licence: None: All rights reserved

Cite this

Kurteva, A., & De Ribaupierre, H. (2021). Interface to Query and Visualise Definitions from a Knowledge Base. In M. Brambilla, R. Chbeir, F. Frasincar, & I. Manolescu (Eds.), Web Engineering: 21st International Conference, ICWE 2021, Biarritz, France, May 18–21, 2021, Proceedings (pp. 3-10). (Lecture Notes in Computer Science; Vol. 12706). Springer. https://doi.org/10.1007/978-3-030-74296-6_1

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abstract = "Linked data is at the core of the Web due to its ability to model real world entities, connect them via relationships and provide context, which could help to transform data into information and information into knowledge. For example, ontologies, which could be stored locally or could be made available to everyone online (e.g. the DBpedia knowledge base). However, both access and usage of Linked Data require individuals to have knowledge in the field of the Semantic Web. Many of the existing solutions are developed for specific use cases such as building and exploring ontologies visually and are aimed at expert users. The solutions that are aimed at non-experts are generic and, in most cases, a data visualisation is not available. In this paper, we present a web application with a user interface (UI), which combines features from applications for both expert and non-experts. The UI allows individuals with no previous knowledge of the Semantic Web to query the DBpedia knowledge base for definitions of a specific word and to view a graphical visualisation of the query results (the search keyword itself and concepts related to it).",

keywords = "Comprehension, Graphical visualisation, Human-computer interaction, Knowledge base, Linked data, User interface",

author = "Anelia Kurteva and \{De Ribaupierre\}, H{\'e}l{\`e}ne",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 21st International Conference on Web Engineering, ICWE 2021 ; Conference date: 18-05-2021 Through 21-05-2021",

year = "2021",

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doi = "10.1007/978-3-030-74296-6\_1",

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Kurteva, A & De Ribaupierre, H 2021, Interface to Query and Visualise Definitions from a Knowledge Base. in M Brambilla, R Chbeir, F Frasincar & I Manolescu (eds), Web Engineering: 21st International Conference, ICWE 2021, Biarritz, France, May 18–21, 2021, Proceedings. Lecture Notes in Computer Science, vol. 12706, Springer, pp. 3-10, 21st International Conference on Web Engineering, ICWE 2021, Virtual, Online, 18/05/21. https://doi.org/10.1007/978-3-030-74296-6_1

Interface to Query and Visualise Definitions from a Knowledge Base. / Kurteva, Anelia; De Ribaupierre, Hélène.
Web Engineering: 21st International Conference, ICWE 2021, Biarritz, France, May 18–21, 2021, Proceedings. ed. / Marco Brambilla; Richard Chbeir; Flavius Frasincar; Ioana Manolescu. Springer, 2021. p. 3-10 (Lecture Notes in Computer Science; Vol. 12706).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Interface to Query and Visualise Definitions from a Knowledge Base

AU - Kurteva, Anelia

AU - De Ribaupierre, Hélène

PY - 2021/5/11

Y1 - 2021/5/11

N2 - Linked data is at the core of the Web due to its ability to model real world entities, connect them via relationships and provide context, which could help to transform data into information and information into knowledge. For example, ontologies, which could be stored locally or could be made available to everyone online (e.g. the DBpedia knowledge base). However, both access and usage of Linked Data require individuals to have knowledge in the field of the Semantic Web. Many of the existing solutions are developed for specific use cases such as building and exploring ontologies visually and are aimed at expert users. The solutions that are aimed at non-experts are generic and, in most cases, a data visualisation is not available. In this paper, we present a web application with a user interface (UI), which combines features from applications for both expert and non-experts. The UI allows individuals with no previous knowledge of the Semantic Web to query the DBpedia knowledge base for definitions of a specific word and to view a graphical visualisation of the query results (the search keyword itself and concepts related to it).

AB - Linked data is at the core of the Web due to its ability to model real world entities, connect them via relationships and provide context, which could help to transform data into information and information into knowledge. For example, ontologies, which could be stored locally or could be made available to everyone online (e.g. the DBpedia knowledge base). However, both access and usage of Linked Data require individuals to have knowledge in the field of the Semantic Web. Many of the existing solutions are developed for specific use cases such as building and exploring ontologies visually and are aimed at expert users. The solutions that are aimed at non-experts are generic and, in most cases, a data visualisation is not available. In this paper, we present a web application with a user interface (UI), which combines features from applications for both expert and non-experts. The UI allows individuals with no previous knowledge of the Semantic Web to query the DBpedia knowledge base for definitions of a specific word and to view a graphical visualisation of the query results (the search keyword itself and concepts related to it).

KW - Comprehension

KW - Graphical visualisation

KW - Human-computer interaction

KW - Knowledge base

KW - Linked data

KW - User interface

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M3 - Conference contribution

AN - SCOPUS:85111091868

SN - 9783030742959

T3 - Lecture Notes in Computer Science

SP - 3

EP - 10

BT - Web Engineering

A2 - Brambilla, Marco

A2 - Chbeir, Richard

A2 - Frasincar, Flavius

A2 - Manolescu, Ioana

PB - Springer

T2 - 21st International Conference on Web Engineering, ICWE 2021

Y2 - 18 May 2021 through 21 May 2021

ER -

Interface to Query and Visualise Definitions from a Knowledge Base

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this