2005 SurveyofSemanticAnnotationPlatf

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Author Keywords

Semantic Web, Semantic Annotation, Information Extraction


The realization of the Semantic Web requires the widespread availability of semantic annotations for existing and new documents on the Web. Semantic annotations are to tag ontology class instance data and map it into ontology classes. The fully automatic creation of semantic annotations is an unsolved problem. Instead, current systems focus on the semi-automatic creation of annotations. The Semantic Web also requires facilities for the storage of annotations and ontologies, user interfaces, access APIs, and other features to fully support annotation usage. This paper examines current Semantic Web annotation platforms that provide annotation and related services, and reviews their architecture, approaches and performance.


Table 2: Semantic annotation platform summary

Platform Method Machine Learning Manual Rules Bootstrap Ontology
AeroDAML (Kogut & Holmes, 2001) Rule N Y WordNet
Armadillo (Dingli et al., 2003) Pattern Discovery N Y User
KIM (Popov et al., 2003a) Rule N Y KIMO
MnM [21] Wrapper Induction Y N KMi
MUSE [16] Rule N Y User
Ont-O-Mat: Amilcare [12] Wrapper Induction Y N User
Ont-O-Mat: PANKOW [5] Pattern Discovery N N User
SemTag (Dill et al., 2003a) Rule N N TAP



 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2005 SurveyofSemanticAnnotationPlatfHyoil Han
Lawrence Reeve
Survey of Semantic Annotation Platforms10.1145/1066677.1067049