episciences.org_4607_2026051717041801320260517170418013episciences.orgraphael.tournoy+crossrefapi@ccsd.cnrs.frepisciences.orgElPub - ELectronic PUBlishing10.46298/journals/elpubhttp://elpub.episciences.org06202018Connecting the Knowledge...Long PapersJanPokornyENKI, o.p.s.This paper will describe a method for machine-based creation of high quality subject indexing and classification for both electronic and print documents using tables of contents (ToCs). The technology described here is primarily focused on electronic and print documents for which, because of technical or licensing reasons, it is not possible to index full text. However, the technology would also be useful for full text documents, because it could significantly enhance the accuracy and relevance of subject description by analyzing the structure of ToCs.06202018062020184607https://creativecommons.org/licenses/by/4.0https://creativecommons.org/licenses/by/4.0https://creativecommons.org/licenses/by/4.0https://hal.science/hal-01816705v110.4000/proceedings.elpub.2018.19http://elpub.episciences.org/4607https://hal.science/hal-01816705v1/documenthttps://hal.science/hal-01816705v1/document