Publisher: Vilnius University Institute of Data Science and Digital Technologies, Journal: Informatica, Title: Dynamic Generation of Web Services for Data Retrieval Using Ontology, Authors: Ivan Magdalenic, Danijel Radosevic, Zoran Skocir , Semantic Web is envisioned as semantic description of data and services enabling unambiguous computerized interpretation. Thanks to semantic description, computers can perform demanding tasks such as automation of discovery and access to heterogeneous data sources. Although this is possible with the existing technologies, combination of web services technology, ontologies and generative programming methods makes this simpler and more efficient. This paper presents the model for dynamic generation of web services for data retrieval from heterogeneous data sources using ontologies. Emphasis is on dynamic generation of web services customized to a particular user based on the request defined by ontology. The paper also describes a prototype of the model implementation. Some advantages of our approach over other approaches are also provided.

Generative programming is a discipline of Automatic programming which strives to make application and the generator development process flexible and generated program code optimized. Because of the lack of appropriate graphic and aspect based generator models, we developed the Scripting model of generator, as a static generator model based on higher level scripts. This paper gives a formal definition of the Scripting model and describes how basic object model properties, like encapsulation, inheritance, and now, polymorphism are achieved. This offers some advantages in generative application development, such as more precise application specification, better generator reusability, and simpler generator model and its easier implementation. The introduced polymorphic features are presented in an illustrative example of a Java application generator