Background and Foreground Knowledge in Dynamic Ontology Construction: Viewing Text as Knowledge Maintenance
F. Brewster, and Y. Wilks. Proceedings of the SIGIR Semantic Web Workshop, (2003)
Abstract
Ontologies have become a key component in the Semantic Web
and Knowledge management. One accepted goal is to construct
ontologies from a domain specific set of texts. An ontology
reflects the background knowledge used in writing and reading a
text. However, a text is an act of knowledge maintenance, in that
it re-enforces the background assumptions, alters links and
associations in the ontology, and adds new concepts. This means
that background knowledge is rarely expressed in a machine
interpretable manner. When it is, it is usually in the conceptual
boundaries of the domain, e.g. in textbooks or when ideas are
borrowed into other domains. We argue that a partial solution to
this lies in searching external resources such as specialized
glossaries and the internet. We show that a random selection of
concept pairs from the Gene Ontology do not occur in a relevant
corpus of texts from the journal Nature. In contrast, a significant
proportion can be found on the internet. Thus, we conclude that
sources external to the domain corpus are necessary for the
automatic construction of ontologies.
%0 Journal Article
%1 brewster2003
%A Brewster, Fabio Ciravegna. Christopher
%A Wilks, Yorick
%D 2003
%J Proceedings of the SIGIR Semantic Web Workshop
%K ontology ontologylearning
%T Background and Foreground Knowledge in Dynamic Ontology Construction: Viewing Text as Knowledge Maintenance
%X Ontologies have become a key component in the Semantic Web
and Knowledge management. One accepted goal is to construct
ontologies from a domain specific set of texts. An ontology
reflects the background knowledge used in writing and reading a
text. However, a text is an act of knowledge maintenance, in that
it re-enforces the background assumptions, alters links and
associations in the ontology, and adds new concepts. This means
that background knowledge is rarely expressed in a machine
interpretable manner. When it is, it is usually in the conceptual
boundaries of the domain, e.g. in textbooks or when ideas are
borrowed into other domains. We argue that a partial solution to
this lies in searching external resources such as specialized
glossaries and the internet. We show that a random selection of
concept pairs from the Gene Ontology do not occur in a relevant
corpus of texts from the journal Nature. In contrast, a significant
proportion can be found on the internet. Thus, we conclude that
sources external to the domain corpus are necessary for the
automatic construction of ontologies.
@article{brewster2003,
abstract = {Ontologies have become a key component in the Semantic Web
and Knowledge management. One accepted goal is to construct
ontologies from a domain specific set of texts. An ontology
reflects the background knowledge used in writing and reading a
text. However, a text is an act of knowledge maintenance, in that
it re-enforces the background assumptions, alters links and
associations in the ontology, and adds new concepts. This means
that background knowledge is rarely expressed in a machine
interpretable manner. When it is, it is usually in the conceptual
boundaries of the domain, e.g. in textbooks or when ideas are
borrowed into other domains. We argue that a partial solution to
this lies in searching external resources such as specialized
glossaries and the internet. We show that a random selection of
concept pairs from the Gene Ontology do not occur in a relevant
corpus of texts from the journal Nature. In contrast, a significant
proportion can be found on the internet. Thus, we conclude that
sources external to the domain corpus are necessary for the
automatic construction of ontologies.
},
added-at = {2008-07-16T14:20:56.000+0200},
author = {Brewster, Fabio Ciravegna. Christopher and Wilks, Yorick},
biburl = {https://www.bibsonomy.org/bibtex/22888d6d64a87975c5317d314038f2eae/enterldestodes},
interhash = {41043d25c6a75b4bb678ea0167d3ce61},
intrahash = {2888d6d64a87975c5317d314038f2eae},
journal = {Proceedings of the SIGIR Semantic Web Workshop},
keywords = {ontology ontologylearning},
timestamp = {2008-07-16T14:20:56.000+0200},
title = {Background and Foreground Knowledge in Dynamic Ontology Construction: Viewing Text as Knowledge Maintenance },
year = 2003
}