scholarly journals Semantic Technologies and E-Business

2011 ◽  
pp. 243-278 ◽  
Author(s):  
Ivan Bedini ◽  
Georges Gardarin ◽  
Benjamin Nguyen
Keyword(s):  
Conceptual Knowledge ◽  
Great Part ◽  
Generation Process ◽  
Semantic Technologies ◽  
Business Partnerships ◽  
Modus Operandi ◽  
Semantic Data ◽  
Business Applications ◽  
Semantic Data Model ◽  
Business To Business

This chapter studies what semantic technologies can bring to the e-business domain and how they can be applied to it. After an overview of the goals to be achieved by e-business applications a large panel of existing e-business standards is detailed, with a specific focus on B2B (Business to Business) and their current modus operandi. Furthermore, some of the most relevant e-business ontologies are also presented. Next, the chapter argues that the use of semantic technologies will simplify the automatic management of many e-business partnerships. However the construction of ontologies brings a new level of complexity that might be facilitated by automating the great part of the generation process. For this purpose, the Janus system, which is a prototype to help with the automatic derivation of ontologies from XML Schemas, the de-facto format adopted in e-business standard applications was developed. Differently from existing systems, it permits to retrieve automatically conceptual knowledge from large XML corpus sources and is based on the use of the Semantic Data Model for Ontology (SDMO) whose advantages are presented in this chapter.

Designing an Engineering Database for Telephone Networks

1991 ◽  
Author(s):  
Scott G. Danielson
Keyword(s):  
Data Structure ◽  
Data Model ◽  
Database Modeling ◽  
Telephone Networks ◽  
Semantic Data ◽  
Engineering Data ◽  
Engineering Database ◽  
Engineering Work ◽  
Entity Relationship ◽  
Semantic Data Model

Abstract An engineering database modeling telephone outside plant networks is developed. Semantic and relational database design methodologies are used with the semantic data model developed based on an extended entity-relationship approach. This logical model is used to generate a normalized relational data structure. This database holds engineering data supporting engineering analyses, engineering work order generation procedures, and network planning activities. The database has been linked to separate network analysis programs and CAD-based network maps by a database application.

CIM Dictionaries: An Evolutionary Approach to CIM Data Integration

1991 ◽  
Author(s):  
Uwe Weissflog
Keyword(s):  
Data Integration ◽  
Added Value ◽  
Heterogeneous Environments ◽  
Semantic Data ◽  
Application Systems ◽  
Homogeneous Set ◽  
Semantic Data Model ◽  
Additional Service ◽  
Product Definition

Abstract This paper provides an overview of methods and ideas to achieve data integration in CIM. It describes a dictionary approach allowing participating applications to define their common constructs gradually as an additional service across application systems. Because of the importance of product definition data, the role of PDES/STEP as part of this dictionary approach is also described. The technical concepts of the dictionary, such as schema mapping, semantic data model, user methods and the required additions within participating applications are explained. Problems related to data integrity, data redundancy, performance and binding of dissimilar software components are discussed as well as the deficiencies related to today’s data modelling capabilities. The added value an active dictionary can provide to a CIM environment consisting of established applications in heterogeneous environments, where migration into one standardized homogeneous set of CIM applications is not likely, is also explained.

Towards evolutionary knowledge representation under the big data circumstance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xuhui Li ◽  
Liuyan Liu ◽  
Xiaoguang Wang ◽  
Yiwen Li ◽  
Qingfeng Wu ◽  
...  
Keyword(s):  
Big Data ◽  
Knowledge Base ◽  
Data Model ◽  
Directed Acyclic Graph ◽  
Conceptual Models ◽  
Structural Features ◽  
New Approach ◽  
Content Type ◽  
Semantic Data ◽  
Semantic Data Model

Purpose The purpose of this paper is to propose a graph-based representation approach for evolutionary knowledge under the big data circumstance, aiming to gradually build conceptual models from data. Design/methodology/approach A semantic data model named meaning graph (MGraph) is introduced to represent knowledge concepts to organize the knowledge instances in a graph-based knowledge base. MGraph uses directed acyclic graph–like types as concept schemas to specify the structural features of knowledge with intention variety. It also proposes several specialization mechanisms to enable knowledge evolution. Based on MGraph, a paradigm is introduced to model the evolutionary concept schemas, and a scenario on video semantics modeling is introduced in detail. Findings MGraph is fit for the evolution features of representing knowledge from big data and lays the foundation for building a knowledge base under the big data circumstance. Originality/value The representation approach based on MGraph can effectively and coherently address the major issues of evolutionary knowledge from big data. The new approach is promising in building a big knowledge base.

Applying Semantic SOA-Based Model to Business Applications

2010 ◽  
pp. 1-20
Author(s):  
Tariq Mahmoud ◽  
Jorge Marx Gómez
Keyword(s):  
Service Oriented Architecture ◽  
Semantic Web Services ◽  
Business Environments ◽  
Business Applications ◽  
Proposed Model ◽  
Service Oriented ◽  
Semantic Service ◽  
Main Components ◽  
Medium Businesses ◽  
Business To Business

Nowadays, it becomes more and more critical and essential for the vendors in the business-related markets to tailor their products and software to meet the needs of the Small and Medium Businesses (SMB) since their market share has been enormously raised and the issues related to the Business-to-Business (B2B) environment are becoming great challenges to be considered. The semantic Service-Oriented Architecture (SOA)-based model involves Semantic Web Services to be applied in business environments in order to have a consistent framework that makes the data understandable for both humans and machines. The ultimate goal for using the authors’ proposed model is to transfer the enterprise Web into a medium through which data and applications can be automatically understood and processed. The main components of the proposed model and the vision of applying it to one of the business solutions will be illustrated in order to show how these components can work together to overcome the traditional SOA-based solutions weakness.

Design of a Compiler for a Semantic Data Model

1989 ◽  
pp. 293-343 ◽  
Author(s):  
Brian A. Nixon ◽  
K. Lawrence Chung ◽  
David Lauzon ◽  
Alex Borgida ◽  
John Mylopoulos ◽  
...  
Keyword(s):  
Data Model ◽  
Semantic Data ◽  
Semantic Data Model

An Effortless Approach for Migrating from Legacy Software Systems to Web Services

2012 ◽  
pp. 219-225
Author(s):  
K. Velmurugan ◽  
M.A. Maluk Mohamed
Keyword(s):  
Web Services ◽  
Reverse Engineering ◽  
Software Metrics ◽  
Software Systems ◽  
Legacy Systems ◽  
Legacy Software ◽  
Internet Infrastructure ◽  
Business Applications ◽  
Simple Implementation ◽  
Business To Business

One of the vital reasons for reverse engineering legacy software systems is to make it inter-operable. Moreover, technological advancements and changes in usability also motivate reverse engineering to exploit new features and incorporate them in legacy software systems. In this context, Web services are emerging and evolving as solutions for software systems for business applications in terms of facilitating interactions between business to business and business to customers. Web services are gaining significance due to inherent features like interoperability, simple implementation, and exploiting the boom in Internet infrastructure. Thus, this work proposes a framework based strategy using .net for effortless migration from legacy software systems to Web services. Further, this work also proposes that software metrics observed during the process of reverse engineering facilitate design of Web services from legacy systems.

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