Use of ontology-to-text relation for creating semantic annotation
K. Staykova, и G. Agre. Proceedings of the 13th International Conference on Computer Systems and Technologies, стр. 64--71. New York, NY, USA, ACM, (2012)
DOI: 10.1145/2383276.2383288
Аннотация
The paper is focused on the problem of creating new semantic annotations of multimedia objects stored in a digital library. In most cases creating such annotations is a time-consuming and expensive process when it is carried out manually by domain experts. This cumbersome process could be facilitated if a part of the information used for annotating is available in form of natural language texts. In such cases it is possible to apply some Natural Language Processing techniques for extracting needed information and then convert it into desired semantic annotations. The paper describes an approach for solving the task of ontological terms recognition within Bulgarian texts by application of a Natural Language Processing technique called Öntology-to-Text Relation". All preliminary steps to prepare needed resources for implementation of this technique are discussed.
Описание
Use of ontology-to-text relation for creating semantic annotation
%0 Conference Paper
%1 Staykova:2012:UOR:2383276.2383288
%A Staykova, Kamenka
%A Agre, Gennady
%B Proceedings of the 13th International Conference on Computer Systems and Technologies
%C New York, NY, USA
%D 2012
%I ACM
%K analysis documents language natural semantic text
%P 64--71
%R 10.1145/2383276.2383288
%T Use of ontology-to-text relation for creating semantic annotation
%U http://doi.acm.org/10.1145/2383276.2383288
%X The paper is focused on the problem of creating new semantic annotations of multimedia objects stored in a digital library. In most cases creating such annotations is a time-consuming and expensive process when it is carried out manually by domain experts. This cumbersome process could be facilitated if a part of the information used for annotating is available in form of natural language texts. In such cases it is possible to apply some Natural Language Processing techniques for extracting needed information and then convert it into desired semantic annotations. The paper describes an approach for solving the task of ontological terms recognition within Bulgarian texts by application of a Natural Language Processing technique called Öntology-to-Text Relation". All preliminary steps to prepare needed resources for implementation of this technique are discussed.
%@ 978-1-4503-1193-9
@inproceedings{Staykova:2012:UOR:2383276.2383288,
abstract = {The paper is focused on the problem of creating new semantic annotations of multimedia objects stored in a digital library. In most cases creating such annotations is a time-consuming and expensive process when it is carried out manually by domain experts. This cumbersome process could be facilitated if a part of the information used for annotating is available in form of natural language texts. In such cases it is possible to apply some Natural Language Processing techniques for extracting needed information and then convert it into desired semantic annotations. The paper describes an approach for solving the task of ontological terms recognition within Bulgarian texts by application of a Natural Language Processing technique called "Ontology-to-Text Relation". All preliminary steps to prepare needed resources for implementation of this technique are discussed.},
acmid = {2383288},
added-at = {2012-12-14T10:29:16.000+0100},
address = {New York, NY, USA},
author = {Staykova, Kamenka and Agre, Gennady},
biburl = {https://www.bibsonomy.org/bibtex/2ec39da3084cf338e83b92563bcb18bb6/martin-zenker},
booktitle = {Proceedings of the 13th International Conference on Computer Systems and Technologies},
description = {Use of ontology-to-text relation for creating semantic annotation},
doi = {10.1145/2383276.2383288},
interhash = {90d810cc922ce02a1f79ab6bb64fa3a2},
intrahash = {ec39da3084cf338e83b92563bcb18bb6},
isbn = {978-1-4503-1193-9},
keywords = {analysis documents language natural semantic text},
location = {Ruse, Bulgaria},
numpages = {8},
pages = {64--71},
publisher = {ACM},
series = {CompSysTech '12},
timestamp = {2012-12-14T10:29:17.000+0100},
title = {Use of ontology-to-text relation for creating semantic annotation},
url = {http://doi.acm.org/10.1145/2383276.2383288},
year = 2012
}