Recognizing Semi-Automatically Author’s Intentions From Scientific Documents

The growing volume of electronic documents on the Web, make their retrieval difficult. One of the reasons of this difficulty is the lack of rich representation of their structures. Intentional Structures promise to be a new paradigm to extend the existing documents structures and to enhance the different phases of documents process such as creation, editing, search and retrieval. The objective of this work is to propose a model of intentional structure and, an analyzer to recognize the author’s intentions from written documents in a specific domain. On the one hand, this system is based on ontology of intentions. On the other hand, it is based on a set of algorithms which facilitate the building of intentional structure. The main principle of these algorithms is to reproduce writer’s skills. The role of the system is to recognize the intentional structure i.e., to make a segmentation in a semi-automatic way of a document according to the authors intentions, and to extract the intentional verbs accompanied by their concepts of each segment through the algorithms of our analyzer. This analyzer is also able to update the ontology of intentions for the enrichment of the knowledge base containing all possible intentions of a domain. This article presents experimentation on scientific publications in the field of computer science. Key-words: Information Research, Analyzer, Intentional Structure, Segmentation, Ontology.