By the same authors

Semantic reasoning for autonomic IT systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Semantic reasoning for autonomic IT systems. / Patelli, Alina; Calinescu, Radu; Wang, Hai.

WCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014). Association for Computing Machinery (ACM), 2014. p. 13-18.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Patelli, A, Calinescu, R & Wang, H 2014, Semantic reasoning for autonomic IT systems. in WCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014). Association for Computing Machinery (ACM), pp. 13-18, 19th International Doctoral Symposium on Components and Architecture, WCOP 2014, Marcq-en-Baroeul, United Kingdom, 30/06/14. https://doi.org/10.1145/2601328.2601331

APA

Patelli, A., Calinescu, R., & Wang, H. (2014). Semantic reasoning for autonomic IT systems. In WCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014) (pp. 13-18). Association for Computing Machinery (ACM). https://doi.org/10.1145/2601328.2601331

Vancouver

Patelli A, Calinescu R, Wang H. Semantic reasoning for autonomic IT systems. In WCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014). Association for Computing Machinery (ACM). 2014. p. 13-18 https://doi.org/10.1145/2601328.2601331

Author

Patelli, Alina ; Calinescu, Radu ; Wang, Hai. / Semantic reasoning for autonomic IT systems. WCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014). Association for Computing Machinery (ACM), 2014. pp. 13-18

Bibtex - Download

@inproceedings{4b1467d183f84b9fb29a4281815c0ce5,
title = "Semantic reasoning for autonomic IT systems",
abstract = "Autonomic systems are required to adapt continually to changing environments and user goals. This process involves the real-Time update of the system's knowledge base, which should therefore be stored in a machine-readable format and automatically checked for consistency. OWL ontologies meet both requirements, as they represent collections of knowl- edge expressed in FIrst order logic, and feature embedded reasoners. To take advantage of these OWL ontology char- acteristics, this PhD project will devise a framework com- prising a theoretical foundation, tools and methods for de- veloping knowledge-centric autonomic systems. Within this framework, the knowledge storage and maintenance roles will be fulfilled by a specialised class of OWL ontologies.",
author = "Alina Patelli and Radu Calinescu and Hai Wang",
year = "2014",
doi = "10.1145/2601328.2601331",
language = "English",
isbn = "9781450325936",
pages = "13--18",
booktitle = "WCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014)",
publisher = "Association for Computing Machinery (ACM)",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Semantic reasoning for autonomic IT systems

AU - Patelli, Alina

AU - Calinescu, Radu

AU - Wang, Hai

PY - 2014

Y1 - 2014

N2 - Autonomic systems are required to adapt continually to changing environments and user goals. This process involves the real-Time update of the system's knowledge base, which should therefore be stored in a machine-readable format and automatically checked for consistency. OWL ontologies meet both requirements, as they represent collections of knowl- edge expressed in FIrst order logic, and feature embedded reasoners. To take advantage of these OWL ontology char- acteristics, this PhD project will devise a framework com- prising a theoretical foundation, tools and methods for de- veloping knowledge-centric autonomic systems. Within this framework, the knowledge storage and maintenance roles will be fulfilled by a specialised class of OWL ontologies.

AB - Autonomic systems are required to adapt continually to changing environments and user goals. This process involves the real-Time update of the system's knowledge base, which should therefore be stored in a machine-readable format and automatically checked for consistency. OWL ontologies meet both requirements, as they represent collections of knowl- edge expressed in FIrst order logic, and feature embedded reasoners. To take advantage of these OWL ontology char- acteristics, this PhD project will devise a framework com- prising a theoretical foundation, tools and methods for de- veloping knowledge-centric autonomic systems. Within this framework, the knowledge storage and maintenance roles will be fulfilled by a specialised class of OWL ontologies.

UR - http://www.scopus.com/inward/record.url?scp=84904650858&partnerID=8YFLogxK

U2 - 10.1145/2601328.2601331

DO - 10.1145/2601328.2601331

M3 - Conference contribution

SN - 9781450325936

SP - 13

EP - 18

BT - WCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014)

PB - Association for Computing Machinery (ACM)

ER -