An aspect-oriented conceptual level design for semantic web based application
10 Nov 2011-pp 352-357
TL;DR: 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.
Citations
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01 Sep 2013
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.
Abstract: In comparison to basic web information which mainly
provides static information within minimal interaction aspects,there is a need for web application to contain more
complex and specific information throughout its domain structure. Web application has significant information compositions such as its domain processes, users’ interaction, content structures, dynamic navigation links, and user interface presentation. Thus, designing and modeling web application requires extra attention and
meticulous efforts. In this paper, we present 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. Com+HDM has been shown particularly useful in modeling flow of complex processes involving complex interaction between web users and the application. Specific modeling elements are provided to facilitate designers in organizing and integrating specific information at high level views to produce expressive design models on the domain structure. We will describe in details on how Com+HDM can be used to design a specific web application example,throughout the processes requirements and design models, in order to highlight the internal design strengths of this approach.
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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.
Abstract: An operational algebra with formal definition is necessary for any conceptual data model for smooth data retrieval. We have already proposed a graph-based aspect-oriented data model for a web based application, called ‘Semantic Graph Data Model’ (SGDM) [7]. The proposed model aims to represent the semantic within data in a web based application in an efficient way. SGDM should be supported by an operational algebra for retrieval of data. In this paper, we have proposed a graph based algebra that consists of semantic and non-semantic operators for the evaluation of a semantic query within SGDM. The proposed operators of SGDM are being implemented in a way such that the corresponding object relational operators are being executed on the equivalent object relational data model to offer a doable solution for the end users.
References
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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.
Abstract: RDF and RDF Schema are two W3C standards aimed at enriching the Web with machine-processable semantic data.We have developed Sesame, an architecture for efficient storage and expressive querying of large quantities of metadata in RDF and RDF Schema. Sesame's design and implementation are independent from any specific storage device. Thus, Sesame can be deployed on top of a variety of storage devices, such as relational databases, triple stores, or object-oriented databases, without having to change the query engine or other functional modules. Sesame offers support for concurrency control, independent export of RDF and RDFS information and a query engine for RQL, a query language for RDF that offers native support for RDF Schema semantics. We present an overview of Sesame as a generic architecture, as well as its implementation and our first experiences with this implementation.
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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.
Abstract: XML and RDF are the current standards for establishing semantic interoperability on the Web, but XML addresses only document structure. RDF better facilitates interoperation because it provides a data model that can be extended to address sophisticated ontology representation techniques. We explain the role of ontologies in the architecture of the Semantic Web. We then briefly summarize key elements of XML and RDF, showing why using XML as a tool for semantic interoperability will be ineffective in the long run. We argue that a further representation and inference layer is needed on top of the Web's current layers, and to establish such a layer, we propose a general method for encoding ontology representation languages into RDF/RDF schema. We illustrate the extension method by applying it to Ontology Interchange Language, an ontology representation and inference language.
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01 Jan 2001
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.
Abstract: The Generic Modeling Environment (GME) is a con- figurable toolset that supports the easy creation of d o- main-specific modeling and program synthesis environ- ments. The primarily graphical, domain-specific models can represent the application and its environment includ- ing hardware resources, and their relationship. The mod- els are then used to automatically synthesize the applica- tion and/or generate inputs to COTS analysis tools. In addition to traditional signal processing problems, we have applied this approach to tool integration and struc- turally adaptive systems among other domains. This pa- per describes the GME toolset and compares it to other similar approaches. A case study is also presented that illustrates the core concepts through an example.
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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.
Abstract: The Semantic Web is based on the idea of adding more machine-readable semantics to web information via annotations written in a language called the Resource Description Framework (RDF). RDF resembles a subset of binary first-order logic including the ability to refer to anonymous objects. Its extended version, RDFS, supports reification, typing and inheritance. These features introduce new challenges into the formal study of sets of RDF/RDFS statements and languages for querying them. Although several such query languages have been proposed, there has been little work on foundational aspects. We investigate these, including computational aspects of testing entailment and redundancy. We propose a query language with well-defined semantics and study the complexity of query processing, query containment, and simplification of answers.
291 citations
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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.
Abstract: Recently, a widespread interest has emerged in using ontologies on the Web. Resource Description Framework Schema (RDFS) is a basic tool that enables users to define vocabulary, structure and constraints for expressing meta data about Web resources. However, it includes no provisions for formal semantics, and its expressivity is not sufficient for full-fledged ontological modeling and reasoning. In this paper, we will show how RDFS can be extended to include a more expressive knowledge representation language. That, in turn, would enrich it with the required additional expressivity and the semantics of that language. We do this by describing the ontology language Ontology Inference Layer (OIL) as an extension of RDFS. An important advantage to our approach is that it ensures maximal sharing of meta data on the Web: even partial interpretation of an OIL ontology by less semantically aware processors will yield a correct partial interpretation of the meta data. � 2002 Elsevier Science B.V. All rights reserved.
142 citations
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