English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The work presented in this paper addresses a project of the Computer Centre CIRTIL who supported it. This company wants to save and capitalize its knowledge and its know-how about the production activities, especially concerning the technical incidents relating to software applications encountered during the exploitation time. Indeed using a well accessing documents base, actors will be able to better solve problems. Our purpose is to focus on ontology-based framework for indexing documents. The domain ontology OntoCIRTIL has a structure which supports a semantic model based on semantic links and inference mechanisms. In this paper, we present a new model called S3 which permits to model knowledge in upstream and index documents (or formalized knowledge) in downstream. To illustrate partial results, this model is then applied to OntoCIRTIL.

ONTOLOGY-BASED FRAMEWORK FOR DOCUMENT INDEXING