Towards Message-Driven Ontology Population - Facing Challenges in Real-World IoT

David Graf; Wieland Schwinger; Elisabeth Kapsammer; Werner Retschitzegger; Birgit Pröll; Norbert Baumgartner

doi:10.1007/978-3-030-45688-7_37

Towards Message-Driven Ontology Population - Facing Challenges in Real-World IoT

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

Abstract

Large-scale Internet-of-Things (IoT) environments as being found in critical infrastructures such as Intelligent Transportation Systems (ITS) are characterized by (i) massive heterogeneity of data, (ii) prevalent legacy systems, and (iii) continuous evolution of operational technology. In such environments, the realization of crosscutting services demands a conceptual IoT representation, most promising, in terms of a domain ontology. Populating the ontology’s A-Box, however, faces some challenges, which are not sufficiently addressed by now. In this respect, the contribution of this short paper is three-fold: Firstly, in order to point out the complexity of addressed real-world IoT environments, we identify prevalent challenges for (semi-)automatic ontology population by means of a real world example. Secondly, in order to address these challenges, we elaborate on related work by identifying promising lines of research relevant for ontology population. Thirdly, based thereupon, we sketch out a solution approach towards message-driven ontology population.

Original language	English
Title of host publication	Trends and Innovations in Information Systems and Technologies
Editors	Álvaro Rocha, Hojjat Adeli, Luís Paulo Reis, Sandra Costanzo, Irena Orovic, Fernando Moreira
Publisher	Springer International Publishing
Pages	361-368
Number of pages	8
Volume	1159
ISBN (Electronic)	978-3-030-45688-7
ISBN (Print)	9783030456870
DOIs	https://doi.org/10.1007/978-3-030-45688-7_37
Publication status	Published - May 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1159 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Fields of science

202038 Telecommunications
102 Computer Sciences
102002 Augmented reality
102006 Computer supported cooperative work (CSCW)
102013 Human-computer interaction
102015 Information systems
102021 Pervasive computing
102025 Distributed systems
102027 Web engineering

JKU Focus areas

Digital Transformation
Sustainable Development: Responsible Technologies and Management

Access to Document

10.1007/978-3-030-45688-7_37

Cite this

Graf, D., Schwinger, W., Kapsammer, E., Retschitzegger, W., Pröll, B., & Baumgartner, N. (2020). Towards Message-Driven Ontology Population - Facing Challenges in Real-World IoT. In Á. Rocha, H. Adeli, L. P. Reis, S. Costanzo, I. Orovic, & F. Moreira (Eds.), Trends and Innovations in Information Systems and Technologies (Vol. 1159, pp. 361-368). (Advances in Intelligent Systems and Computing; Vol. 1159 AISC). Springer International Publishing. https://doi.org/10.1007/978-3-030-45688-7_37

Graf, David ; Schwinger, Wieland ; Kapsammer, Elisabeth et al. / Towards Message-Driven Ontology Population - Facing Challenges in Real-World IoT. Trends and Innovations in Information Systems and Technologies. editor / Álvaro Rocha ; Hojjat Adeli ; Luís Paulo Reis ; Sandra Costanzo ; Irena Orovic ; Fernando Moreira. Vol. 1159 Springer International Publishing, 2020. pp. 361-368 (Advances in Intelligent Systems and Computing).

@inproceedings{cd3007d74ce94d71a1240807a6325e6e,

title = "Towards Message-Driven Ontology Population - Facing Challenges in Real-World IoT",

abstract = "Large-scale Internet-of-Things (IoT) environments as being found in critical infrastructures such as Intelligent Transportation Systems (ITS) are characterized by (i) massive heterogeneity of data, (ii) prevalent legacy systems, and (iii) continuous evolution of operational technology. In such environments, the realization of crosscutting services demands a conceptual IoT representation, most promising, in terms of a domain ontology. Populating the ontology{\textquoteright}s A-Box, however, faces some challenges, which are not sufficiently addressed by now. In this respect, the contribution of this short paper is three-fold: Firstly, in order to point out the complexity of addressed real-world IoT environments, we identify prevalent challenges for (semi-)automatic ontology population by means of a real world example. Secondly, in order to address these challenges, we elaborate on related work by identifying promising lines of research relevant for ontology population. Thirdly, based thereupon, we sketch out a solution approach towards message-driven ontology population.",

author = "David Graf and Wieland Schwinger and Elisabeth Kapsammer and Werner Retschitzegger and Birgit Pr{\"o}ll and Norbert Baumgartner",

year = "2020",

month = may,

doi = "10.1007/978-3-030-45688-7\_37",

language = "English",

isbn = "9783030456870",

volume = "1159",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer International Publishing",

pages = "361--368",

editor = "{\'A}lvaro Rocha and Hojjat Adeli and Reis, \{Lu{\'i}s Paulo\} and Sandra Costanzo and Irena Orovic and Fernando Moreira",

booktitle = "Trends and Innovations in Information Systems and Technologies",

}

Graf, D, Schwinger, W , Kapsammer, E , Retschitzegger, W , Pröll, B & Baumgartner, N 2020, Towards Message-Driven Ontology Population - Facing Challenges in Real-World IoT. in Á Rocha, H Adeli, LP Reis, S Costanzo, I Orovic & F Moreira (eds), Trends and Innovations in Information Systems and Technologies. vol. 1159, Advances in Intelligent Systems and Computing, vol. 1159 AISC, Springer International Publishing, pp. 361-368. https://doi.org/10.1007/978-3-030-45688-7_37

Towards Message-Driven Ontology Population - Facing Challenges in Real-World IoT. / Graf, David; Schwinger, Wieland ; Kapsammer, Elisabeth et al.
Trends and Innovations in Information Systems and Technologies. ed. / Álvaro Rocha; Hojjat Adeli; Luís Paulo Reis; Sandra Costanzo; Irena Orovic; Fernando Moreira. Vol. 1159 Springer International Publishing, 2020. p. 361-368 (Advances in Intelligent Systems and Computing; Vol. 1159 AISC).

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

TY - GEN

T1 - Towards Message-Driven Ontology Population - Facing Challenges in Real-World IoT

AU - Graf, David

AU - Schwinger, Wieland

AU - Kapsammer, Elisabeth

AU - Retschitzegger, Werner

AU - Pröll, Birgit

AU - Baumgartner, Norbert

PY - 2020/5

Y1 - 2020/5

N2 - Large-scale Internet-of-Things (IoT) environments as being found in critical infrastructures such as Intelligent Transportation Systems (ITS) are characterized by (i) massive heterogeneity of data, (ii) prevalent legacy systems, and (iii) continuous evolution of operational technology. In such environments, the realization of crosscutting services demands a conceptual IoT representation, most promising, in terms of a domain ontology. Populating the ontology’s A-Box, however, faces some challenges, which are not sufficiently addressed by now. In this respect, the contribution of this short paper is three-fold: Firstly, in order to point out the complexity of addressed real-world IoT environments, we identify prevalent challenges for (semi-)automatic ontology population by means of a real world example. Secondly, in order to address these challenges, we elaborate on related work by identifying promising lines of research relevant for ontology population. Thirdly, based thereupon, we sketch out a solution approach towards message-driven ontology population.

AB - Large-scale Internet-of-Things (IoT) environments as being found in critical infrastructures such as Intelligent Transportation Systems (ITS) are characterized by (i) massive heterogeneity of data, (ii) prevalent legacy systems, and (iii) continuous evolution of operational technology. In such environments, the realization of crosscutting services demands a conceptual IoT representation, most promising, in terms of a domain ontology. Populating the ontology’s A-Box, however, faces some challenges, which are not sufficiently addressed by now. In this respect, the contribution of this short paper is three-fold: Firstly, in order to point out the complexity of addressed real-world IoT environments, we identify prevalent challenges for (semi-)automatic ontology population by means of a real world example. Secondly, in order to address these challenges, we elaborate on related work by identifying promising lines of research relevant for ontology population. Thirdly, based thereupon, we sketch out a solution approach towards message-driven ontology population.

UR - https://www.scopus.com/pages/publications/85085479569

U2 - 10.1007/978-3-030-45688-7_37

DO - 10.1007/978-3-030-45688-7_37

M3 - Conference proceedings

SN - 9783030456870

VL - 1159

T3 - Advances in Intelligent Systems and Computing

SP - 361

EP - 368

BT - Trends and Innovations in Information Systems and Technologies

A2 - Rocha, Álvaro

A2 - Adeli, Hojjat

A2 - Reis, Luís Paulo

A2 - Costanzo, Sandra

A2 - Orovic, Irena

A2 - Moreira, Fernando

PB - Springer International Publishing

ER -

Graf D, Schwinger W , Kapsammer E , Retschitzegger W , Pröll B, Baumgartner N. Towards Message-Driven Ontology Population - Facing Challenges in Real-World IoT. In Rocha Á, Adeli H, Reis LP, Costanzo S, Orovic I, Moreira F, editors, Trends and Innovations in Information Systems and Technologies. Vol. 1159. Springer International Publishing. 2020. p. 361-368. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-45688-7_37

Towards Message-Driven Ontology Population - Facing Challenges in Real-World IoT

Abstract

Publication series

UN SDGs

Fields of science

JKU Focus areas

Access to Document

Other files and links

Cite this