MnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup
By M. Vargas-Vera, Enrico Motta, John Domingue, M. Lanzoni, A. Stutt, Fabio Ciravegna. International Conference Knowledge Engineering and Knowledge Management, 2002
394 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/e6a722193881343a1377534fa677b37fe57d8f7a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Philipp Cimiano
- Steffen Staab
- Siegfried Handschuh
- Sridhar Rajagopalan
- Angel Kirilov
- Damyan Ognyanoff
- Miroslav Goranov
- Atanas Kiryakov
In Information Systems
- Philipp Cimiano
- Steffen Staab
- Siegfried Handschuh
- Andrew Tomkins
- David Gibson
- Angel Kirilov
- Damyan Ognyanoff
- Miroslav Goranov
Citations in the corpus
- A fuzzy ontology and its application to news summarization (2005, methodology): “[17] present an annotation tool, called MnM, which provides both automated and semi-automated support for annotating web pages with semantic contents.”
- KIM - Semantic Annotation Platform (2003, methodology): “Similar approach is taken also within the MnM project [35], where the semantic annotations can be placed inline in the document content and refer to an ontology and KB server (WebOnto), accessible via standard API.”
- Towards the self-annotating web (2004, methodology): “In this paper we propose PANKOW (Pattern-based Annotation through Knowledge on the Web), a method which employs an unsupervised, pattern-based approach to categorize instances with regard to an ontology.”
- SemTag and seeker: bootstrapping the semantic web via automated semantic annotation (2003, methodology): “These marked up pages can be reasoned about by SHOE-aware tools such as SHOE Search. Such tools are described in [ 36 , 19].”