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Proceedings ArticleDOI

An aspect-oriented conceptual level design for semantic web based application

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TLDR
A graph-based aspect-oriented conceptual data model, ‘Semantic Graph Data Model’ (SGDM), for web based application that supports the object-oriented paradigm and also flexible to represent semi-structured as well as hypertext data through a multilayered graph structure.
Abstract
Advanced web application design demands the concern of the customers to be used for describing the inherent semantics in an integrated way. In this paper we have proposed a graph-based aspect-oriented conceptual data model, ‘Semantic Graph Data Model’ (SGDM), for web based application. This not only offers a pictorial view with better understandability but also provides the procedure for describing the semantic resources. SGDM represents them in a structured manner with reasoning through aspect orientation. The proposed model also supports the automatic domain model development for similar business problems by effective domain-knowledge reuse. Moreover, SGDM supports the object-oriented paradigm and also flexible to represent semi-structured as well as hypertext data through a multilayered graph structure. The Product Specific Model (PSM) SQL: 2003 implementation of our proposed model SGDM is being done through GME tool.

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Citations
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Modeling complex processes, navigations, and user interface in web applications

TL;DR: This paper presents Com+HDM (Comprehensive Hypermedia Design Method for Complex Process Modeling), a comprehensive and systematic web design method to support all aforementioned characteristics in the context of web application design practices.
Book ChapterDOI

Operational Algebra for a Graph Based Semantic Web Data Model

TL;DR: A graph based algebra that consists of semantic and non-semantic operators for the evaluation of a semantic query within SGDM, a graph-based aspect-oriented data model for a web based application, is proposed.
References
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Book ChapterDOI

Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema

TL;DR: This work presents an overview of Sesame, an architecture for efficient storage and expressive querying of large quantities of metadata in RDF and RDF Schema, and its implementation and the first experiences with this implementation.
Journal ArticleDOI

The Semantic Web: the roles of XML and RDF

TL;DR: It is argued that a further representation and inference layer is needed on top of the Web's current layers, and to establish such a layer, a general method for encoding ontology representation languages into RDF/RDF schema is proposed.

The Generic Modeling Environment

TL;DR: This paper describes the GME toolset and compares it to other similar approaches and a case study is also presented that illustrates the core concepts through an example.
Proceedings ArticleDOI

Foundations of semantic web databases

TL;DR: This work proposes a query language with well-defined semantics and study the complexity of query processing, query containment, and simplification of answers, including computational aspects of testing entailment and redundancy.
Proceedings ArticleDOI

Enabling knowledge representation on the Web by extending RDF schema

TL;DR: It is shown how RDFS can be extended to include a more expressive knowledge representation language, Ontology Inference Layer (OIL), which would enrich it with the required additional expressivity and the semantics of that language.
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