Towards the self-annotating web

TLDR

The success of the Semantic Web depends on the availability of ontologies and the proliferation of web pages annotated with metadata that conforms to these ontologies. The paper aims to address where to acquire such metadata by proposing PANKOW, an unsupervised, pattern‑based method for ontology‑driven instance categorization. PANKOW is implemented in the OntoMat annotation tool and evaluated against manual annotations from two human subjects. The evaluation demonstrates promising results for the PANKOW approach.

Abstract

The success of the Semantic Web depends on the availability of ontologies as well as on the proliferation of web pages annotated with metadata conforming to these ontologies. Thus, a crucial question is where to acquire these metadata from. In this paper wepropose PANKOW (Pattern-based Annotation through Knowledge on theWeb), a method which employs an unsupervised, pattern-based approach to categorize instances with regard to an ontology. The approach is evaluated against the manual annotations of two human subjects. The approach is implemented in OntoMat, an annotation tool for the Semantic Web and shows very promising results.