The sum of semantic annotations in a model describes its biological and mathematical background.
To date, there have been no systematic studies of the inter-rater or intra-rater reliability of semantic annotation using this methodology.
In practice, various semantic annotation tools have been designed to carry out different levels of semantic annotation, such as topics of documents, semantic role labeling, named entities or events.
The increasing performance and wider spread use of automated semantic annotation and entity linking platforms has empowered the possibility of using semantic information in information retrieval.
Due to their common formatting, use of identifiers and semantic annotations, the collection provides both a useful starting point for subsequent manual and semi-automated curation, and, as can be seen in the phylogenetic tree of Figure 5, a framework upon which metabolism can be systematically compared across species.
In this paper we present an approach for generating feedback to open questions in assessment tests, by making use of ontologies and semantic annotations.
Saravanamuthu's research work has been primarily in the use of Semantic Web ontologies for a) annotation and extraction of knowledge from unstructured text, b) the integration of complex, heterogeneous data from multiple sources, and c) the use of intelligent reasoning strategies to infer high-level knowledge from the integrated data.
Lord and colleagues introduced the use of semantic similarity to investigate the relationship between sequence and annotation [15], [16].
SymText and its successor, MPLUS, make extensive use of semantic networks for semantic analysis.
ERGOT uses semantic annotations that enrich service specifications in two ways: (i) services are advertised in the DHT on the basis of their annotations, thus allowing us to establish a SON between service providers; (ii) annotations enable semantic-based service matchmaking, using a similarity measure between service requests and descriptions.
