Name
Title | ||
|---|---|---|
From Linguistic to Conceptual: A Framework Based on a Pipeline for Building Ontologies from Texts. |
Abstract | ||
|---|---|---|
This paper presents a novel approach to extract information for building ontologies for an extensive range of applications from corpora. Our goal is to propose a method that is independent of domains and based on a distributional analysis of semantic units to bring out all the candidate's informative elements (concepts, entities, semantic relations, named entities etc.). This method is based on a pipeline of four main stages allows for the extraction of information from unstructured text in the form of a suite of decomposable representations (sentences in triplets, 'argumental structure' etc.) until a consistent final ontology is obtained. We applied the defined pipeline a repeated sampling of 100 articles randomly drawn from a text corpus ('Le Monde' of annual version '2013'). The evaluation results of the trial implementation of our system level of accuracy to be up to 74%. The results obtained indicate that the proposed methodology is quite generic and can be easily adapted to any new domain. |
Year | Venue | Keywords |
|---|---|---|
2016 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | ontology,information extraction,text analysis,similarity measure,linguistic processing |
Field | DocType | Volume |
Ontology (information science),Ontology,Text mining,Similarity measure,Deep linguistic processing,Information retrieval,Computer science,Information extraction,Natural language processing,Artificial intelligence | Journal | 20 |
Issue | ISSN | Citations |
6 | 1343-0130 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Benafia | 1 | 0 | 1.01 |
| Smaine Mazouzi | 2 | 23 | 9.40 |
| Ramdane Maamri | 3 | 56 | 27.79 |
| Zaidi Sahnoun | 4 | 26 | 6.67 |
| Sara Benafia | 5 | 0 | 0.34 |