Semantic Annotation

Selected Tools


MnM (KMI, University of Sheffield)
  MnM is a semantic annotation tool, which provides manual, automated and semi-automated support for annotating web pages with ‘semantics’, i.e., machine interpretable descriptions. MnM provides knowledge acquisition forms to allow a user to mark up web resources by instantiating generic concepts from an ontology. It allows the user the facility to choose ontologies from a variety of sources and is compatible with a variety of representation languages, including Ontolingua/OCML, RDF(S), and DAML+OIL. All of this can be achieved in a familiar web browser environment. In order to automate the semantic annotation process, MnM has a plug-in mechanism, which provides access to information extraction systems, such as Amilcare. Thus MnM reduces the effort required to annotate large web resources.
OntoMat-Annotizer (AIFB, University of Karlsruhe)
  OntoMat-Annotizer is a user-friendly interactive webpage annotation tool which supports the user with the task of creating and maintaining ontology-based DAML+OIL markups. The OntoMat-Annotizer also integrates Amilcare.
Melita (University of Sheffield)
  Melita is an annotation tool for the Semantic Web that uses Information Extraction (IE) as support to reduce the annotation burden. In Melita, the IE engine works in the background and monitors the annotations inserted by the user. Rules are induced that generalize over seen cases, allowing coverage of new cases. When the IE engine has learnt how to annotate with sufficient accuracy, every new document to be annotated is presented to the user with a preliminary annotation provided by the IE system. Melita provides an interactive modality for both annotation and control of the IE system behaviour, so as to reduce intrusive interaction and maximize pro-activity.