TY - BOOK
T1 - Fuzzy ontologies for retrieval of industrial knowledge
T2 - A case study
AU - Tommila, Teemu
AU - Hirvonen, Juhani
AU - Pakonen, Antti
PY - 2010
Y1 - 2010
N2 - Information and knowledge are critical resources in
operating and maintaining industrial process plants. The
basis for the required knowledge repository is created at
the design stage and extended after the hand-over of
design data with modifications, maintenance histories and
operational experiences. It is in the common interest of
plant owners, engineering contractors and equipment and
material suppliers to manage, communicate and utilise the
information over the whole life-cycle of the plant. Our
goal was to better "mobilise" knowledge stored in
heterogeneous databases to users with various
backgrounds, geographical locations and situations. The
working hypothesis of the research was that fuzzy
mathematics combined with domain-specific data models, in
other words, fuzzy ontologies, would help manage the
uncertainty in finding information that matches the
user's needs. In this way, this paper places itself in
the domain of knowledge management. The main goals of the
report are to give practical examples of fuzzy ontology
in an industrial context, show how such ontologies can be
developed, to test the functionality of the applied
formalisms and tools, demonstrate the feasibility of
fuzzy ontology in searching information from a knowledge
base, and describe the next development tasks.
AB - Information and knowledge are critical resources in
operating and maintaining industrial process plants. The
basis for the required knowledge repository is created at
the design stage and extended after the hand-over of
design data with modifications, maintenance histories and
operational experiences. It is in the common interest of
plant owners, engineering contractors and equipment and
material suppliers to manage, communicate and utilise the
information over the whole life-cycle of the plant. Our
goal was to better "mobilise" knowledge stored in
heterogeneous databases to users with various
backgrounds, geographical locations and situations. The
working hypothesis of the research was that fuzzy
mathematics combined with domain-specific data models, in
other words, fuzzy ontologies, would help manage the
uncertainty in finding information that matches the
user's needs. In this way, this paper places itself in
the domain of knowledge management. The main goals of the
report are to give practical examples of fuzzy ontology
in an industrial context, show how such ontologies can be
developed, to test the functionality of the applied
formalisms and tools, demonstrate the feasibility of
fuzzy ontology in searching information from a knowledge
base, and describe the next development tasks.
KW - knowledge management
KW - fuzzy ontology
KW - uncertainty
M3 - Report
T3 - VTT Working Papers
BT - Fuzzy ontologies for retrieval of industrial knowledge
PB - VTT Technical Research Centre of Finland
CY - Espoo
ER -