Automated Patent Categorization and Guided Patent Search using IPC as Inspired by MeSH and PubMed

Automated Patent Categorization and Guided Patent Search using IPC as Inspired by MeSH and PubMed

The patent domain is a very important source of scientific information that is currently not used to its full potential. Searching for relevant patents is a complex task because the number of existing patents is very high and grows quickly, patent text is extremely complicated, and standard vocabula...

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Bibliographic Details
Main Author: Eisinger, Daniel
Other Authors: Technische Universität Dresden, Fakultät Informatik
Format: Doctoral Thesis
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2014
Subjects:
Patent
Kategorisierung
Suche
Patentsuche
Termextraktion
Patentklassifikation
International Patent Classification
IPC
Medical Subject Headings
MeSH
PubMed
patent
categorization
search
patent search
term extraction
patent classification
ddc:004
rvk:ST 640
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-148134
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-148134
http://www.qucosa.de/fileadmin/data/qucosa/documents/14813/ThesisDanielEisinger.pdf

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-148134
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-148134
http://www.qucosa.de/fileadmin/data/qucosa/documents/14813/ThesisDanielEisinger.pdf

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