@article{fdi:010084041, title = {{E}nabling a fast annotation process with the {T}able2{A}nnotation tool}, author = {{L}armande, {P}ierre and {D}jibril, {K}.{M}.}, editor = {}, language = {{ENG}}, abstract = {{I}n semantic annotation, semantic concepts are linked to natural language. {S}emantic annotation helps in boosting the ability to search and access resources and can be used in information retrieval systems to augment the queries from the user. {I}n the research described in this paper, we aimed to identify ontological concepts in scientific text contained in spreadsheets. {W}e developed a tool that can handle various types of spreadsheets. {F}urthermore, we used the {NCBO} {A}nnotator {API} provided by {B}io{P}ortal to enhance the semantic annotation functionality to cover spreadsheet data. {T}able2{A}nnotation has strengths in certain criteria such as speed, error handling, and complex concept matching.}, keywords = {{INFORMATIQUE} {SCIENTIFIQUE} ; {SEMANTIQUE} ; {LANGAGE} {DE} {PROGRAMMATION} ; {BIOINFORMATIQUE} ; {ONTOLOGIE} ; {ANNOTATION} {SEMANTIQUE}}, booktitle = {}, journal = {{G}enomics and {I}nformatics}, volume = {18}, numero = {2}, pages = {e19 [ 42--47]}, ISSN = {2234-0742}, year = {2020}, URL = {https://www.documentation.ird.fr/hor/fdi:010084041}, }