Ontology-based extraction and structuring of information from data-rich unstructured documents
Proceedings of the seventh international conference on Information and knowledge management
Authoring and annotation of web pages in CREAM
Proceedings of the 11th international conference on World Wide Web
MnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Description logic programs: combining logic programs with description logic
WWW '03 Proceedings of the 12th international conference on World Wide Web
SemTag and seeker: bootstrapping the semantic web via automated semantic annotation
WWW '03 Proceedings of the 12th international conference on World Wide Web
Towards the self-annotating web
Proceedings of the 13th international conference on World Wide Web
Armadillo: harvesting information for the semantic web
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
KIM – a semantic platform for information extraction and retrieval
Natural Language Engineering
Knowtator: a protégé plug-in for annotated corpus construction
NAACL-Demonstrations '06 Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume: demonstrations
An Annotation Tool for Semantic Documents
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Time-oriented question answering from clinical narratives sing semantic-web techniques
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
GoNTogle: a tool for semantic annotation and search
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
A classification of semantic annotation systems
Semantic Web
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More than 80% of biomedical data is embedded in plain text. The unstructured nature of these text-based documents makes it challenging to easily browse and query the data of interest in them. One approach to facilitate browsing and querying biomedical text is to convert the plain text to a linked web of data, i.e., converting data originally in free text to structured formats with defined meta-level semantics. In this paper, we introduce Semantator (Semantic Annotator), a semantic-web-based environment for annotating data of interest in biomedical documents, browsing and querying the annotated data, and interactively refining annotation results if needed. Through Semantator, information of interest can be either annotated manually or semi-automatically using plug-in information extraction tools. The annotated results will be stored in RDF and can be queried using the SPARQL query language. In addition, semantic reasoners can be directly applied to the annotated data for consistency checking and knowledge inference. Semantator has been released online and was used by the biomedical ontology community who provided positive feedbacks. Our evaluation results indicated that (1) Semantator can perform the annotation functionalities as designed; (2) Semantator can be adopted in real applications in clinical and transactional research; and (3) the annotated results using Semantator can be easily used in Semantic-web-based reasoning tools for further inference.