Semantic Annotation with MnM fact-file

What's the Problem?

• How do you get semantic content into the semantic web?
• How do you integrate manual, semi-automatic, and automatic semantic markup processes?

MnM is a semantic annotation tool which provides manual, automated and semi-automated support for annotating web pages with \x{2018}semantics\x{2019}, i.e., machine interpretable descriptions. MnM provides knowledge acquisition forms to allow a user to mark up web resources by instantiating generic concepts from a standardized terminology (an ontology) for a particular domain. It allows the user the facility to choose ontologies from a variety of sources. 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.

The image below shows an example of using MnM to populate the AKT reference ontology. In the picture the home page of Enrico Motta has been marked up with slots from the class kmi-senior-research-fellow. This mark up can be used to directly modify instance enrico-motta, or as the basis for developing information extraction mechanisms.

Take a Guided Tour

A QuickTime movie will soon be added here to illustrate MnM in action.

MnM will be released under the open source licensing agreement in the near future. Watch this space!

Technical requirements: Windows 2000 or XP, Java Runtime Environment 1.4

"MnM: Ontology Driven Semi-Automatic and Automatic Support for Semantic Markup", Maria Vargas-Vera, Enrico Motta, John Domingue, Mattia Lanzoni, Arthur Stutt and Fabio Ciravegna. The 13th International Conference on Knowledge Engineering and Management (EKAW 2002), ed Gomez-Perez, A., Springer Verlag, 2002.

Semantic representation

View in the AKT Triplestore Browser or as RDF.

Also available in DOAP RDF (Description Of A Project)