Lee Hogan In order to boom using Semantic Web technologies, it is necessary to create packages that use the Semantic Web for practical purposes. Enabling Modelling with Semantic Web technologies should inspire domain experts to fill ontologies with useful information, thereby gaining more advantage from their use.
Semantic web languages as data representation and programming languages would greatly assist with interoperability, as modeling languages are standardized for use in an extensive range of computer structures.
Research can combine End-User Programming, Modelling, and Semantic Web processes. An important area of study is a method for quit-consumer programming, allowing visible data modeling to correspond to the sort of work typically done using spreadsheets. This research involves using Semantic Web technologies to allow stop-consumer programming. The generation applies to any problem involving interplay, calculation, and modeling and can be applied to various tasks and problem regions.
A method that involves structuring statistics through Ontology and Semantic Web strategies and allowing stop-user programming through visualization and interaction pursuits to achieve effective manufacturing of universal models. Horrocks (2002) explains Semantic Web technology and uses dealers, ontologies, and ontology illustration languages. This demonstrates the connected nature of Ontology and Semantic Web studies.
Berners-Lee and Fischetti (1999) summarize the advantage of a Semantic Web application over programs in other languages. They write, “The advantage of setting the rules in RDF is that during doing so, all the reasoning is uncovered, whereas software is a black field: you don’t see what occurs internally it.” They speak using Semantic Web languages as programming languages and explain the benefits, asserting, “The Semantic Web, just like the Web already, will make many stuff previously impossible just apparent. Visual Semantic Web programming is one of those obvious matters”.
Berners-Lee et al. (2006) explain the significance of visualization for ithe information navigation: “Despite the excitement, approximately the Semantic Web, maximum of the arena’s statistics are locked in big facts shops and aren’t published as an open Web of inter-referring assets. As a result, the reuse of records has been constrained. Substantial research challenges arise in converting this situation: how to effectively question an unbounded Web of linked information repositories, align and map between distinct facts models, and visualize and navigate the huge linked graph of data that results.” The use of Semantic Web languages as programming languages could help substantially with interoperability as those languages are standardized to be used in a wide range of pc systems
The essential benefit of open, widespread representation of data furnished by using the Semantic Web is that data may be transferred from one utility to another. Additionally, it gives a layered structure that permits a stepped translation from users to the laptop and returns for conveying the results of a modeling run. The software transformation approach argued for with the aid of Lieberman (2007) can be used to translate from a site expert End-User Programmer abstraction to models represented via Semantic Web languages, ontologies, and code.
SSemantic Web technology is a means for the open, trendy representation of collaborative models, transformation into extraordinary representations as required, and providing a high-degree interface as a device for model visualization and device introduction. Structuring data via Ontology and Semantic Web strategies and permitting End-User Programming through visualization and interplay can acquire powerful production of typical fashions. Semantic web technology could assist significantly with web-based simulation and modeling.
Kuljis and Paul (2001) evaluate development within the subject of web simulation. They argue that web-primarily based simulations must focus on solving actual global troubles to achieve success. Miller and Baramidze (2005) set up a “simulation observation that includes version constructing, situation introduction, model execution, output analysis, and saving/deciphering consequences. Ontologies may be beneficial throughout all of these phases.” Frankel et al. (2004) define model-driven programming and the Semantic Web.
Research within the use and visualization of Semantic Web facts can provide the tools that cease-user programmers have been lacking lately, and those gear may be used for modeling. Crapo et al. (2002) assert the need for a methodology for introducing structures to enable more collaborative processes to model by way of area expert stop-customers and that this, combined with visualization, would permit engineers to version issues appropriately.
Many corporations produce textual content primarily based on reports from their IT structures. However, textual content based on reports no longer continually shows information nicely enough for accurate decision-making. Automated conversion of those reports into Semantic Web languages may want to assist greatly with this. So, a translation technique is required and may be used in ordinary User-Driven Moduser-driven modeling programming approaches converted to a standardized illustration; hierarchical facts can be represented as clickable bushes and numerical representations as charts. This makes it possible to customize outputs from present IT systems and allows for the development of clarity of data without predominant modifications to how it’s produced. This ought to offer a massive benefit at little cost.