Abstract
Abstract
Semantic Annotation is a basic technology for intelli- gent content and is beneficial in a wide range of content- oriented intelligent applications. In this paper we present our work in ontology-based semantic annotation, which is embedded in a scenario of a knowledge portal appli- cation. Starting with seemingly good and bad manual semantic annotation, we describe our experiences made within the KA -initiative. The experiences gave us the starting point for developing an ergonomic and knowl- edge base-supported annotation tool. Furthermore, the annotation tool described are currently extended with mechanisms for semi-automatic information-extraction based annotation. Supporting the evolving nature of semantic content we additionally describe our idea of evolving ontologies supporting semantic annotation.
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@article{Erdmann2026From,
title = {From manual to semi-automatic semantic annotation: about ontology-based text annotation tools},
author = {Michael Erdmann and Alexander Maedche and Hans-Peter Schnurr and Steffen Staab},
year = {2026},
doi = {10.5445/ir/32582000},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.4325}
}
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