The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems

Zeyn Saigol; Minlue Wang; Bram Ridder; David M. Lane

doi:10.1007/978-3-319-22416-9_27

The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems

Zeyn Saigol^*, Minlue Wang, Bram Ridder, David M. Lane

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

With the increasing abilities of robots comes a corresponding increase in the complexity of creating the software enabling these abilities. We present a case study of a sophisticated robotic system which uses an ontology as the central data store for all information processing. We show how this central, structured and easily human-understandable knowledge-base makes for a system that is easier to develop, understand, and modify.

Original language	English
Title of host publication	Towards Autonomous Robotic Systems
Subtitle of host publication	16th Annual Conference, TAROS 2015, Liverpool, UK, September 8-10, 2015, Proceedings
Editors	C. Dixon, K. Tuyls
Publisher	Springer
Pages	229-235
Number of pages	7
Volume	9287
ISBN (Electronic)	978-3-319-22416-9
ISBN (Print)	978-3-319-22415-2
DOIs	https://doi.org/10.1007/978-3-319-22416-9_27
Publication status	Published - 2015
Event	16th Towards Autonomous Robotic Systems - Liverpool, United Kingdom Duration: 8 Sept 2015 → 10 Sept 2015

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer International Publishing
Volume	9287
ISSN (Print)	0302-9743

Conference

Conference	16th Towards Autonomous Robotic Systems
Abbreviated title	TAROS 2015
Country/Territory	United Kingdom
City	Liverpool
Period	8/09/15 → 10/09/15

Access to Document

10.1007/978-3-319-22416-9_27

Cite this

Saigol, Z., Wang, M., Ridder, B., & Lane, D. M. (2015). The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems. In C. Dixon, & K. Tuyls (Eds.), Towards Autonomous Robotic Systems: 16th Annual Conference, TAROS 2015, Liverpool, UK, September 8-10, 2015, Proceedings (Vol. 9287, pp. 229-235). ( Lecture Notes in Computer Science; Vol. 9287). Springer. https://doi.org/10.1007/978-3-319-22416-9_27

@inproceedings{0c084768842e4635968f99ff6a2549d5,

title = "The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems",

abstract = "With the increasing abilities of robots comes a corresponding increase in the complexity of creating the software enabling these abilities. We present a case study of a sophisticated robotic system which uses an ontology as the central data store for all information processing. We show how this central, structured and easily human-understandable knowledge-base makes for a system that is easier to develop, understand, and modify.",

author = "Zeyn Saigol and Minlue Wang and Bram Ridder and Lane, {David M.}",

year = "2015",

doi = "10.1007/978-3-319-22416-9_27",

language = "English",

isbn = "978-3-319-22415-2",

volume = "9287",

series = " Lecture Notes in Computer Science",

publisher = "Springer",

pages = "229--235",

editor = "C. Dixon and K. Tuyls",

booktitle = "Towards Autonomous Robotic Systems",

address = "United States",

note = "16th Towards Autonomous Robotic Systems, TAROS 2015 ; Conference date: 08-09-2015 Through 10-09-2015",

}

Saigol, Z, Wang, M, Ridder, B & Lane, DM 2015, The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems. in C Dixon & K Tuyls (eds), Towards Autonomous Robotic Systems: 16th Annual Conference, TAROS 2015, Liverpool, UK, September 8-10, 2015, Proceedings. vol. 9287, Lecture Notes in Computer Science, vol. 9287, Springer, pp. 229-235, 16th Towards Autonomous Robotic Systems, Liverpool, United Kingdom, 8/09/15. https://doi.org/10.1007/978-3-319-22416-9_27

The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems. / Saigol, Zeyn; Wang, Minlue; Ridder, Bram et al.
Towards Autonomous Robotic Systems: 16th Annual Conference, TAROS 2015, Liverpool, UK, September 8-10, 2015, Proceedings. ed. / C. Dixon; K. Tuyls. Vol. 9287 Springer, 2015. p. 229-235 ( Lecture Notes in Computer Science; Vol. 9287).

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

TY - GEN

T1 - The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems

AU - Saigol, Zeyn

AU - Wang, Minlue

AU - Ridder, Bram

AU - Lane, David M.

PY - 2015

Y1 - 2015

N2 - With the increasing abilities of robots comes a corresponding increase in the complexity of creating the software enabling these abilities. We present a case study of a sophisticated robotic system which uses an ontology as the central data store for all information processing. We show how this central, structured and easily human-understandable knowledge-base makes for a system that is easier to develop, understand, and modify.

AB - With the increasing abilities of robots comes a corresponding increase in the complexity of creating the software enabling these abilities. We present a case study of a sophisticated robotic system which uses an ontology as the central data store for all information processing. We show how this central, structured and easily human-understandable knowledge-base makes for a system that is easier to develop, understand, and modify.

U2 - 10.1007/978-3-319-22416-9_27

DO - 10.1007/978-3-319-22416-9_27

M3 - Conference contribution

SN - 978-3-319-22415-2

VL - 9287

T3 - Lecture Notes in Computer Science

SP - 229

EP - 235

BT - Towards Autonomous Robotic Systems

A2 - Dixon, C.

A2 - Tuyls, K.

PB - Springer

T2 - 16th Towards Autonomous Robotic Systems

Y2 - 8 September 2015 through 10 September 2015

ER -

Saigol Z, Wang M, Ridder B, Lane DM. The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems. In Dixon C, Tuyls K, editors, Towards Autonomous Robotic Systems: 16th Annual Conference, TAROS 2015, Liverpool, UK, September 8-10, 2015, Proceedings. Vol. 9287. Springer. 2015. p. 229-235. ( Lecture Notes in Computer Science). doi: 10.1007/978-3-319-22416-9_27

The Benefits of Explicit Ontological Knowledge-Bases for Robotic Systems

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