Semantic Annotation, Indexing, and Retrieval
By Atanas Kiryakov, Borislav Popov, Damyan Ognyanoff, Dimitar Manov, Angel Kirilov, Miroslav Goranov. International Workshop on the Semantic Web, 2003
863 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/a157969d1722840355a3296dbc598d3d134668d6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Miriam Fernández
- David Vallet
- Pablo Castells
- Angel Kirilov
- Damyan Ognyanoff
- Miroslav Goranov
- Atanas Kiryakov
- Borislav Popov
In Information Systems
- Miriam Fernández
- David Vallet
- Pablo Castells
- Angel Kirilov
- Damyan Ognyanoff
- Miroslav Goranov
- Atanas Kiryakov
- Borislav Popov
Citations in the corpus
- An Ontology-Based Information Retrieval Model (2005, methodology): “Our view of the semantic retrieval problem is very close to the latest proposals in KIM [ 11, 14].”
- An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval (2007, methodology): “[17], [20], [28].”
- KIM – a semantic platform for information extraction and retrieval (2004, background): “The ontology consists of 250 classes and 100 relations (Kiryakov et al. 2004).”
- Finding useful data across multiple biomedical data repositories using DataMed (2017, neutral): “Modules are being developed to enhance the pipeline, including an enhancer for semantic annotation (to add, for example, synonyms and superclasses) 17 and one for citation altmetrics (to give the number of times a data set has been cited) 18 .”
- KIM - Semantic Annotation Platform (2003, methodology): “It is based on the hypothesis that the named entities 3 mentioned in the documents constitute important part of their semantics (see [19], section 3.2 for discussion on this statement.)”