منابع مشابه
MUCOSA: A Music Content Semantic Annotator
MUCOSA (Music Content Semantic Annotator) is an environment for the annotation and generation of music metadata at different levels of abstraction. It is composed of three tiers: an annotation client that deals with microannotations (i.e. within-file annotations), a collection tagger, which deals with macro-annotations (i.e. acrossfiles annotations), and a collaborative annotation subsystem, wh...
متن کاملNCBO Annotator: Semantic Annotation of Biomedical Data
The National Center for Biomedical Ontology Annotator is an ontology-based web service for annotation of textual biomedical data with biomedical ontology concepts. The biomedical community can use the Annotator service to tag datasets automatically with concepts from more than 200 ontologies coming from the two most important set of biomedical ontology & terminology repositories: the UMLS Metat...
متن کاملScoring Semantic Annotations Returned by The NCBO Annotator
Semantic annotation using biomedical ontologies is required to enable data integration, interoperability, indexing and mining of biomedical data. When used to support semantic indexing the scoring and ranking of annotations become as important as provenance and metadata on the annotations themselves. In the biomedical domain, one broadly used service for annotations is the NCBO Annotator Web se...
متن کاملInter-annotator Agreement on a Multilingual Semantic Annotation Task
Six sites participated in the Interlingual Annotation of Multilingual Text Corpora (IAMTC) project (Dorr et al., 2004; Farwell et al., 2004; Mitamura et al., 2004). Parsed versions of English translations of news articles in Arabic, French, Hindi, Japanese, Korean and Spanish were annotated by up to ten annotators. Their task was to match open-class lexical items (nouns, verbs, adjectives, adve...
متن کاملSemantator: Semantic annotator for converting biomedical text to linked data
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-...
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ژورنال
عنوان ژورنال: Biodiversity Information Science and Standards
سال: 2019
ISSN: 2535-0897
DOI: 10.3897/biss.3.37223