Semantic Annotation Task
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A semantic annotation task is an annotation task that is a semantic analysis task to create semantic annotation item in order to make meaning machine processable.
- AKA: Semantic Tagging/Mark-up.
- Context:
- Input: a Human Processable Artifact, such as a (typically) Text Item or a Multimedia Item.
- optional: a Semantic Markup Language.
- optional: a Knowledge Base (such as Wikipedia, Semantic Wiki, or an Ontology).
- output: a machine processable Semantically Annotated Item.
- It can be solve by a Semantic Annotation System (that implements a semantic annotation algorithm).
- It can range from being a Manual Semantic Annotation Task to being an Automated Annotation Task (such as a semi-automated semantic annotation task).
- It can range from being a Data-Driven Semantic Annotation Task to being a Heuristic Semantic Annotation Task.
- It can be supported by: Concept Reference Identification, Concept Reference Recognition, and Concept Reference Resolution.
- It can be supported by a Semantic Annotation System (that implements a Semantic Annotation algorithm).
- It can be solved by a Semantic Tagging System (that implements a semantic annotation algorithm).
- Input: a Human Processable Artifact, such as a (typically) Text Item or a Multimedia Item.
- Example(s):
- Counter-Example(s):
- See: Semantic Web, Semantic Wiki.
References
2007
- (Carneiro et al., 2007) ⇒ Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, and Nuno Vasconcelos. (2007). “Supervised Learning of Semantic Classes for Image Annotation and Retrieval.” In: IEEE Trans. Pattern Anal. Mach. Intelligence, 29(3). doi:10.1109/TPAMI.2007.61
2005
- (Uren et al., 2005) ⇒ Victoria Uren, Philipp Cimiano, José Iria, Siegfried Handschuh, Maria Vargas-Vera, Enrico Motta, Fabio Ciravegna. (2005). “Semantic Annotation for Knowledge Management: Requirements And A Survey Of The State Of The Art.” In: Web Semantics: Science, Services and Agents on the World Wide Web, 4(1). doi:10.1016/j.websem.2005.10.002