Title
Comparing human and automatic thesaurus mapping approaches in the agricultural domain
Author
TNO Industrie
Lauser, B.
Johannsen, G.
Caracciolo, C.
van Hage, W.R.
Keizer, J.
Mayr, P.
Publication year
2008
Abstract
Knowledge organization systems (KOS), like thesauri and other controlled vocabularies, are used to provide subject access to information systems across the web. Due to the heterogeneity of these systems, mapping between vocabularies becomes crucial for retrieving relevant information. However, mapping thesauri is a laborious task, and thus big efforts are being made to automate the mapping process. This paper examines two mapping approaches involving the agricultural thesaurus AGROVOC, one machine-created and one human created. We are addressing the basic question "What are the pros and cons of human and automatic mapping and how can they complement each other?" By pointing out the difficulties in specific cases or groups of cases and grouping the sample into simple and difficult types of mappings, we show the limitations of current automatic methods and come up with some basic recommendations on what approach to use when.
Subject
Intellectual mapping
Knowledge organization systems
Mapping thesauri
Ontology matching
Information Society
To reference this document use:
http://resolver.tudelft.nl/uuid:1788e928-a5a9-45ce-a1ce-4f277355064d
TNO identifier
466884
ISSN
1939-1358
Source
8th Annual International Conference on Dublin Core and Metadata Applications, DC-2008, 22-26 September 2008, Berlin, Germany, 43-53
Bibliographical note
Sponsors: Elsevier; Common Library Network GBV; IBM; OCLC; Sun Microsystems
Document type
conference paper