Ontology-based Semantic Annotation Task
Jump to navigation
Jump to search
An Ontology-based Semantic Annotation Task is a semantic annotation task that is an ontology-based task, which requires concept mention identification and concept mention linking to an ontology.
- AKA: Text to Ontology Mapping, Ontology-driven Semantic Mark-Up.
- Context:
- It can be solved by an Ontology-based Semantic Annotation System (that implements an Ontology-based Semantic Annotation Algorithm).
- It can range from being an Ontology-based Concept Mention Grounding Task to being an Ontology-based Relation Mention Grounding Task.
- It can support a Ontology-based Information Extraction from Text Task.
- Example(s):
- Counter-Example(s):
- See: Mention Recognition Task.
References
2016
- (Alec et al., 2016) ⇒ Céline Alec, Chantal Reynaud-Delaître, and Brigitte Safar. (2016). “An Ontology-Driven Approach for Semantic Annotation of Documents with Specific Concepts.” In: Proceedings of The Semantic Web. Latest Advances and New Domains (ESWC-2016).
- QUOTE: This paper deals with an ontology-driven approach for semantic annotation of documents from a corpus where each document describes an entity of a same domain.
2010a
- (Melli & Ester, 2010) ⇒ Gabor Melli, and Martin Ester. (2010). “Supervised Identification and Linking of Concept Mentions to a Domain-Specific Ontology.” In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM 2010). doi:10.1145/1871437.1871712
2010b
- (Ma, Nazarenko & Audibert, 2010) ⇒ Yue Ma, Adeline Nazarenko, Laurent Audibert. (2010). “Formal Description of Resources for Ontology-based Semantic Annotation.” In: Proceedings of The Seventh International Conference on Language Resources and Evaluation (LREC 2010)
- QUOTE: Ontology-based semantic annotation aims at putting fragments of a text in correspondence with proper elements of an ontology such that the formal semantics encoded by the ontology can be exploited to represent text interpretation. In this paper, we formalize a resource for this goal. The main difficulty in achieving good semantic annotations consists in identifying fragments to be annotated and labels to be associated with them. To this end, our approach takes advantage of standard web ontology languages as well as rich linguistic annotation platforms. This in turn is concerned with how to formalize the combination of the ontological and linguistical information, which is a topical issue that has got an increasing discussion recently. Different from existing formalizations, our purpose is to extend ontologies by semantic annotation rules whose complexity increases along two dimensions: the linguistic complexity and the rule syntactic complexity. This solution allows reusing best NLP tools for the production of various levels of linguistic annotations. It also has the merit to distinguish clearly the process of linguistic analysis and the ontological interpretation.
2007a
- (Simov & Osenova, 2007) ⇒ Kiril Simov, and Petya Osenova. (2007) "Applying Ontology-Based Lexicons to the Semantic Annotation of Learning Objects.” In: Proceedings of the Workshop on NLP and Knowledge Represenattion for eLearning Environments (RANLP 2007).
2007b
- (El-Beltagy et al., 2007) ⇒ Samhaa R. El-Beltagy, Maryam Hazman, and Ahmed Rafea. (2007). “Ontology based Annotation of Text Segments.” In: Proceedings of the 2007 ACM symposium on Applied computing. doi:10.1145/1244002.1244296
2000
- (Erdmann et al., 2000) ⇒ Michael Erdmann, Alexander Maedche, Hans-Peter Schnurr, and Steffen Staab. (2000). “From Manual to Semi-automatic Semantic Annotation: About Ontology-based Text Annotation Tools.” In: Proceedings of the COLING 2000 Workshop on Semantic Annotation and Intelligent Content.