A review of the generation of requirements specification in natural language using objects UML models and domain ontology

In the software development life cycle, requirements engineering is the main process that is derived from users by informal interviews written in natural language by requirements engineers (analysts). The requirements may suffer from incompleteness and ambiguity when transformed into formal or semi-formal models that are not well understood by stakeholders. Hence, the stakeholder cannot verify if the formal or semi-formal models satisfy their needs and requirements. Another problem faced by requirements is that when code and/or designs are updated, it is often the case that requirements and specifically the requirements document are not updated. Hence ending with a requirements document not reflecting the implemented software.Generating requirements from the design and/or implementation document is seen by many researchers as a way to address the latter issue. This paper presents a survey of some works undertaken in the field of generation natural language specifications from object UML model using the support of an ontology. and analyzing the robustness and limitations of these existing approaches. This includes studying the generation of natural language from a formal model, review the generation of natural language from ontologies, and finally reviews studies about check to generate natural language from OntoUML.N/

User Interfaces to the Web of Data based on Natural Language Generation

We explore how Virtual Research Environments based on Semantic Web technologies support research interactions with RDF data in various stages of corpus-based analysis, analyze the Web of Data in terms of human readability, derive labels from variables in SPARQL queries, apply Natural Language Generation to improve user interfaces to the Web of Data by verbalizing SPARQL queries and RDF graphs, and present a method to automatically induce RDF graph verbalization templates via distant supervision

Generating Natural Language Descriptions of Ontology Concepts

This paper gives an overview of ongoing work on a system for the generation of NL descriptions of classes defined in OWL ontologies. We present a general structuring approach for such descriptions. Since OWL ontologies do not by default contain the information necessary for lexicalization, lexical information has to be added to the data via annotations. A rulebased mechanism for automatically deriving these annotations is presented.