Documents can be assigned keywords by frequency analysis of the terms found in the document text, which arguably is the primary
source of knowledge about the document itself. By including a hierarchi- cally organised domain specific thesaurus as a secondknowledge source the quality of such keywords was improved considerably, as measured by match to previously manually assignedkeywords. In the presented ex- periment, the combination of the evidence from frequency analysis and the hierarchically organisedthesaurus was done using inductive logic programming.
%0 Journal Article
%1 Hulth01indexingThesaurus
%A Hulth, Anette
%A Karlgren, Jussi
%A Jonsson, Anna
%A Boström, Henrik
%A Asker, Lars
%D 2009
%J Computational Linguistics and Intelligent Text Processing
%K 01 Hulth extraction indexing keyword text thesaurus
%P 472--482
%T Automatic Keyword Extraction Using Domain Knowledge
%U http://dx.doi.org/10.1007/3-540-44686-9_47
%X Documents can be assigned keywords by frequency analysis of the terms found in the document text, which arguably is the primary
source of knowledge about the document itself. By including a hierarchi- cally organised domain specific thesaurus as a secondknowledge source the quality of such keywords was improved considerably, as measured by match to previously manually assignedkeywords. In the presented ex- periment, the combination of the evidence from frequency analysis and the hierarchically organisedthesaurus was done using inductive logic programming.
@article{Hulth01indexingThesaurus,
abstract = {Documents can be assigned keywords by frequency analysis of the terms found in the document text, which arguably is the primary
source of knowledge about the document itself. By including a hierarchi- cally organised domain specific thesaurus as a secondknowledge source the quality of such keywords was improved considerably, as measured by match to previously manually assignedkeywords. In the presented ex- periment, the combination of the evidence from frequency analysis and the hierarchically organisedthesaurus was done using inductive logic programming.},
added-at = {2010-03-05T19:34:01.000+0100},
author = {Hulth, Anette and Karlgren, Jussi and Jonsson, Anna and Boström, Henrik and Asker, Lars},
biburl = {https://www.bibsonomy.org/bibtex/2500481d7b9bf65f405193e208487947c/lee_peck},
description = {SpringerLink - Book Chapter},
interhash = {45db0544f2eb462625d600afa9603836},
intrahash = {500481d7b9bf65f405193e208487947c},
journal = {Computational Linguistics and Intelligent Text Processing},
keywords = {01 Hulth extraction indexing keyword text thesaurus},
pages = {472--482},
timestamp = {2010-03-05T19:34:02.000+0100},
title = {Automatic Keyword Extraction Using Domain Knowledge},
url = {http://dx.doi.org/10.1007/3-540-44686-9_47},
year = 2009
}