Linguistic Extraction for Semantic Annotation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F08%3A00329076" target="_blank" >RIV/67985807:_____/08:00329076 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Linguistic Extraction for Semantic Annotation
Original language description
Bottleneck for semantic web services is lack of semantically annotated information. We deal with linguistic information extraction from Czech texts from the Web for semantic annotation. The method described in the paper exploits existing linguistic toolscreated originally for a syntactically annotated corpus, Prague Dependency Treebank (PDT 2.0).We propose a system which captures text of web-pages, annotates it linguistically by PDT tools, extracts data and stores the data in an ontology. We focus on the third phase - data extraction - and present methods for learning queries over linguistically annotated data. Our experiments in the domain of reports of traffic accidents enable e.g. summarization of the number of injured people. This serves as a proof of concept of our solution. More experiments, for diffrent queries and different domain are planned in the future. This will improve third party semantic annotation of web resources.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Intelligent Distributed Computing, Systems and Applications
ISBN
978-3-540-85256-8
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
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Publisher name
Springer
Place of publication
Berlin
Event location
Catania
Event date
Sep 18, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000262163700009