Automated ontology framework for service robots

Saranya Kanjaruek; Dayou Li; Renxi Qiu; Noppakun Boonsim

doi:10.1109/ROBIO.2015.7418770

Automated ontology framework for service robots

Saranya Kanjaruek
, Dayou Li
, Renxi Qiu
, Noppakun Boonsim

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

3 Citations (Scopus)

4 Downloads (Pure)

Abstract

This paper presents an automated ontology framework for service robots. The framework is designed to automatically create an ontology and an instance of concept in dynamic environment. Ontology learning from text is applied to build a concept hierarchy using WordNet which provides a rich semantic processing for physical objects. The Automated Ontology is composed of four modules: Concept Creation, Property Creation, Relationship Creation and Instance of Concept Creation. The automated ontology algorithm was implemented in order to create the concept hierarchy in the Robot Ontology. The Semantic Knowledge Acquisition represents knowledge of physical objects in dynamic environments. In simulation experiments, the list of object names and property names was identified. The result shows the concept hierarchy which represents explicit terms and the semantic knowledge of physical objects for performing everyday manipulation tasks.

Original language	English
Title of host publication	2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	219-224
ISBN (Print)	9781467396745
DOIs	https://doi.org/10.1109/ROBIO.2015.7418770
Publication status	Published - 25 Feb 2016
Event	2015 IEEE-International conference on Robotics and Biometrics - Zhuhai Duration: 6 Dec 2015 → 9 Dec 2015

Conference

Conference	2015 IEEE-International conference on Robotics and Biometrics
City	Zhuhai
Period	6/12/15 → 9/12/15
Other	2015 IEEE-International conference on Robotics and Biometrics (06/12/2015-09/12/2015, Zhuhai)

Keywords

Information retrieval
Knowledge acquisition
OWL
Object recognition
Ontologies
Robots
Semantics

Access to Document

10.1109/ROBIO.2015.7418770

Automatic ontology for service robotsAccepted author manuscript, 309 KBLicence: CC BY-NC-ND

http://ieeexplore.ieee.org/document/7418770/

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@inproceedings{126b6ef08cfc4f73a4fa4ea6449f7eff,

title = "Automated ontology framework for service robots",

abstract = "This paper presents an automated ontology framework for service robots. The framework is designed to automatically create an ontology and an instance of concept in dynamic environment. Ontology learning from text is applied to build a concept hierarchy using WordNet which provides a rich semantic processing for physical objects. The Automated Ontology is composed of four modules: Concept Creation, Property Creation, Relationship Creation and Instance of Concept Creation. The automated ontology algorithm was implemented in order to create the concept hierarchy in the Robot Ontology. The Semantic Knowledge Acquisition represents knowledge of physical objects in dynamic environments. In simulation experiments, the list of object names and property names was identified. The result shows the concept hierarchy which represents explicit terms and the semantic knowledge of physical objects for performing everyday manipulation tasks.",

keywords = "Information retrieval, Knowledge acquisition, OWL, Object recognition, Ontologies, Robots, Semantics",

author = "Saranya Kanjaruek and Dayou Li and Renxi Qiu and Noppakun Boonsim",

year = "2016",

month = feb,

day = "25",

doi = "10.1109/ROBIO.2015.7418770",

language = "English",

isbn = "9781467396745",

pages = "219--224",

booktitle = "2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2015 IEEE-International conference on Robotics and Biometrics ; Conference date: 06-12-2015 Through 09-12-2015",

}

TY - GEN

T1 - Automated ontology framework for service robots

AU - Kanjaruek, Saranya

AU - Li, Dayou

AU - Qiu, Renxi

AU - Boonsim, Noppakun

PY - 2016/2/25

Y1 - 2016/2/25

N2 - This paper presents an automated ontology framework for service robots. The framework is designed to automatically create an ontology and an instance of concept in dynamic environment. Ontology learning from text is applied to build a concept hierarchy using WordNet which provides a rich semantic processing for physical objects. The Automated Ontology is composed of four modules: Concept Creation, Property Creation, Relationship Creation and Instance of Concept Creation. The automated ontology algorithm was implemented in order to create the concept hierarchy in the Robot Ontology. The Semantic Knowledge Acquisition represents knowledge of physical objects in dynamic environments. In simulation experiments, the list of object names and property names was identified. The result shows the concept hierarchy which represents explicit terms and the semantic knowledge of physical objects for performing everyday manipulation tasks.

AB - This paper presents an automated ontology framework for service robots. The framework is designed to automatically create an ontology and an instance of concept in dynamic environment. Ontology learning from text is applied to build a concept hierarchy using WordNet which provides a rich semantic processing for physical objects. The Automated Ontology is composed of four modules: Concept Creation, Property Creation, Relationship Creation and Instance of Concept Creation. The automated ontology algorithm was implemented in order to create the concept hierarchy in the Robot Ontology. The Semantic Knowledge Acquisition represents knowledge of physical objects in dynamic environments. In simulation experiments, the list of object names and property names was identified. The result shows the concept hierarchy which represents explicit terms and the semantic knowledge of physical objects for performing everyday manipulation tasks.

KW - Information retrieval

KW - Knowledge acquisition

KW - OWL

KW - Object recognition

KW - Ontologies

KW - Robots

KW - Semantics

U2 - 10.1109/ROBIO.2015.7418770

DO - 10.1109/ROBIO.2015.7418770

M3 - Conference contribution

SN - 9781467396745

SP - 219

EP - 224

BT - 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 IEEE-International conference on Robotics and Biometrics

Y2 - 6 December 2015 through 9 December 2015

ER -

Automated ontology framework for service robots

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