Data, Information & Knowledge Sources in the Agricultural Domain

Markus Jäger; Stefan Nadschläger; Trong Nhan Phan; Josef Küng

Data, Information & Knowledge Sources in the Agricultural Domain

Markus Jäger, Stefan Nadschläger, Trong Nhan Phan, Josef Küng

Institute for Application-oriented Knowledge Processing

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

Abstract

We try to make a first step towards merging sources in the agricultural domain with experts and methods from the IT sector. The result should help people in this domain to profit from a better and more productive way of using existing experiences by sharing and making them easier accessible. After a short definition of several knowledge-related terms we present existing and possibly useful standards for sources in the agricultural domain. Based on the standards, we give a short overview on existing sources and present a way for automated extraction of information and knowledge from selected sources. Finally we show the usage of some sources, which are implemented in our current research work.

Original language	English
Title of host publication	26th International Workshop on Database and Expert Systems Applications
Publisher	IEEE
Number of pages	400
Volume	26
ISBN (Print)	978-1-4799-5722-4
Publication status	Published - Sept 2015

Publication series

Name	DEXA Workshops

Fields of science

202007 Computer integrated manufacturing (CIM)
102 Computer Sciences
102001 Artificial intelligence
102006 Computer supported cooperative work (CSCW)
102010 Database systems
102014 Information design
102015 Information systems
102016 IT security
102022 Software development
102025 Distributed systems
502007 E-commerce
505002 Data protection
506002 E-government
509018 Knowledge management

JKU Focus areas

Engineering and Natural Sciences (in general)

UN SDGs

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

Cite this

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title = "Data, Information & Knowledge Sources in the Agricultural Domain",

abstract = "We try to make a first step towards merging sources in the agricultural domain with experts and methods from the IT sector. The result should help people in this domain to profit from a better and more productive way of using existing experiences by sharing and making them easier accessible. After a short definition of several knowledge-related terms we present existing and possibly useful standards for sources in the agricultural domain. Based on the standards, we give a short overview on existing sources and present a way for automated extraction of information and knowledge from selected sources. Finally we show the usage of some sources, which are implemented in our current research work.",

author = "Markus J{\"a}ger and Stefan Nadschl{\"a}ger and {Nhan Phan}, Trong and Josef K{\"u}ng",

year = "2015",

month = sep,

language = "English",

isbn = "978-1-4799-5722-4",

volume = "26",

series = "DEXA Workshops",

publisher = "IEEE",

booktitle = "26th International Workshop on Database and Expert Systems Applications",

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TY - GEN

T1 - Data, Information & Knowledge Sources in the Agricultural Domain

AU - Jäger, Markus

AU - Nadschläger, Stefan

AU - Nhan Phan, Trong

AU - Küng, Josef

PY - 2015/9

Y1 - 2015/9

N2 - We try to make a first step towards merging sources in the agricultural domain with experts and methods from the IT sector. The result should help people in this domain to profit from a better and more productive way of using existing experiences by sharing and making them easier accessible. After a short definition of several knowledge-related terms we present existing and possibly useful standards for sources in the agricultural domain. Based on the standards, we give a short overview on existing sources and present a way for automated extraction of information and knowledge from selected sources. Finally we show the usage of some sources, which are implemented in our current research work.

AB - We try to make a first step towards merging sources in the agricultural domain with experts and methods from the IT sector. The result should help people in this domain to profit from a better and more productive way of using existing experiences by sharing and making them easier accessible. After a short definition of several knowledge-related terms we present existing and possibly useful standards for sources in the agricultural domain. Based on the standards, we give a short overview on existing sources and present a way for automated extraction of information and knowledge from selected sources. Finally we show the usage of some sources, which are implemented in our current research work.

M3 - Conference proceedings

SN - 978-1-4799-5722-4

VL - 26

T3 - DEXA Workshops

BT - 26th International Workshop on Database and Expert Systems Applications

PB - IEEE

ER -