This paper proposes the use of lightweight ontologies to describe documents collections. A meta harvesting protocol is used to access the documents. Ontologies are constructed semi-automatically by means of data mining techniques and document clustering algorithms. They are represented in Extensible Markup Language. Resource description framework is used to formalize a unique interpretation of the semantic of their elements. We describe a scenario where software agents use the ontologies to support information retrieval tasks from multiple collections and we show some experimental results
Description
Welcome to IEEE Xplore 2.0: Document Retrieval from Multiple Collections by Using Lightweight Ontologies
%0 Journal Article
%1 4023801
%A Medina, Maria Auxilio
%A Sanchez, J. Alfredo
%A Paz, Jaime A.
%D 2006
%J Computing, 2006. CIC '06. 15th International Conference on
%K diplomarbeit ontologies retrieval
%P 141-146
%R 10.1109/CIC.2006.35
%T Document Retrieval from Multiple Collections by Using Lightweight Ontologies
%X This paper proposes the use of lightweight ontologies to describe documents collections. A meta harvesting protocol is used to access the documents. Ontologies are constructed semi-automatically by means of data mining techniques and document clustering algorithms. They are represented in Extensible Markup Language. Resource description framework is used to formalize a unique interpretation of the semantic of their elements. We describe a scenario where software agents use the ontologies to support information retrieval tasks from multiple collections and we show some experimental results
@article{4023801,
abstract = {This paper proposes the use of lightweight ontologies to describe documents collections. A meta harvesting protocol is used to access the documents. Ontologies are constructed semi-automatically by means of data mining techniques and document clustering algorithms. They are represented in Extensible Markup Language. Resource description framework is used to formalize a unique interpretation of the semantic of their elements. We describe a scenario where software agents use the ontologies to support information retrieval tasks from multiple collections and we show some experimental results},
added-at = {2009-03-01T17:24:26.000+0100},
author = {Medina, Maria Auxilio and Sanchez, J. Alfredo and Paz, Jaime A.},
biburl = {https://www.bibsonomy.org/bibtex/2d32c8bf5c5e19674217320d15b5ec522/dominikb1888},
description = {Welcome to IEEE Xplore 2.0: Document Retrieval from Multiple Collections by Using Lightweight Ontologies},
doi = {10.1109/CIC.2006.35},
interhash = {9de85c978a65019d35d83825d449e2d4},
intrahash = {d32c8bf5c5e19674217320d15b5ec522},
journal = {Computing, 2006. CIC '06. 15th International Conference on},
keywords = {diplomarbeit ontologies retrieval},
month = {Nov. },
pages = {141-146},
timestamp = {2010-12-09T12:52:02.000+0100},
title = {Document Retrieval from Multiple Collections by Using Lightweight Ontologies},
year = 2006
}