Architecture of an Extendable and Cloud-Ready Knowledge Management and Processing Framework for the Agricultural Domain

Stefan Nadschläger; Markus Jäger; Christian Huber

Architecture of an Extendable and Cloud-Ready Knowledge Management and Processing Framework for the Agricultural Domain

Stefan Nadschläger
, Markus Jäger
, Christian Huber

Institut für Anwendungsorientierte Wissensverarbeitung

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

In this paper we present a software architecture for a Knowledge Management and Processing Framework initially for usage in the agricultural domain, but customizable for any domain. In contrast to existing Knowledge Management and Processing Systems, this proposed architecture mainly focuses on the usage of a cloud platform as execution environment and therefore pays special attention to the design aspects to utilize the benefits of a cloud infrastructure, by designing the system parallelizable and distributable. We identified the main aspects of a cloud-ready system platform and combined them with the needed functionality for a custom Knowledge Management and Processing Framework.

Originalsprache	Englisch
Titel	Proceedings of 27th International Workshop on Database and Expert Systems Applications
Herausgeber*innen	IEEE
Seiten	11-15
Seitenumfang	5
Band	27
Publikationsstatus	Veröffentlicht - Sep. 2016

Publikationsreihe

Name	DEXA Workshops

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 9 – Industrie, Innovation und Infrastruktur
SDG 16 – Frieden, Gerechtigkeit und starke Institutionen

Wissenschaftszweige

202007 Computer Integrated Manufacturing (CIM)
102001 Artificial Intelligence
102006 Computer Supported Cooperative Work (CSCW)
102010 Datenbanksysteme
102014 Informationsdesign
102015 Informationssysteme
102016 IT-Sicherheit
102022 Softwareentwicklung
102025 Verteilte Systeme
102033 Data Mining
502007 E-Commerce
505002 Datenschutz
506002 E-Government
509018 Wissensmanagement

JKU-Schwerpunkte

Computation in Informatics and Mathematics

Dieses zitieren

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title = "Architecture of an Extendable and Cloud-Ready Knowledge Management and Processing Framework for the Agricultural Domain",

abstract = "In this paper we present a software architecture for a Knowledge Management and Processing Framework initially for usage in the agricultural domain, but customizable for any domain. In contrast to existing Knowledge Management and Processing Systems, this proposed architecture mainly focuses on the usage of a cloud platform as execution environment and therefore pays special attention to the design aspects to utilize the benefits of a cloud infrastructure, by designing the system parallelizable and distributable. We identified the main aspects of a cloud-ready system platform and combined them with the needed functionality for a custom Knowledge Management and Processing Framework.",

author = "Stefan Nadschl{\"a}ger and Markus J{\"a}ger and Christian Huber",

year = "2016",

month = sep,

language = "English",

isbn = "978-1-5090-3635-6",

volume = "27",

series = "DEXA Workshops",

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Architecture of an Extendable and Cloud-Ready Knowledge Management and Processing Framework for the Agricultural Domain. / Nadschläger, Stefan; Jäger, Markus; Huber, Christian.
Proceedings of 27th International Workshop on Database and Expert Systems Applications. Hrsg. / IEEE. Band 27 2016. S. 11-15 (DEXA Workshops).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

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AU - Nadschläger, Stefan

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AU - Huber, Christian

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N2 - In this paper we present a software architecture for a Knowledge Management and Processing Framework initially for usage in the agricultural domain, but customizable for any domain. In contrast to existing Knowledge Management and Processing Systems, this proposed architecture mainly focuses on the usage of a cloud platform as execution environment and therefore pays special attention to the design aspects to utilize the benefits of a cloud infrastructure, by designing the system parallelizable and distributable. We identified the main aspects of a cloud-ready system platform and combined them with the needed functionality for a custom Knowledge Management and Processing Framework.

AB - In this paper we present a software architecture for a Knowledge Management and Processing Framework initially for usage in the agricultural domain, but customizable for any domain. In contrast to existing Knowledge Management and Processing Systems, this proposed architecture mainly focuses on the usage of a cloud platform as execution environment and therefore pays special attention to the design aspects to utilize the benefits of a cloud infrastructure, by designing the system parallelizable and distributable. We identified the main aspects of a cloud-ready system platform and combined them with the needed functionality for a custom Knowledge Management and Processing Framework.

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BT - Proceedings of 27th International Workshop on Database and Expert Systems Applications

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