Corporate Semantic Web: Towards the Deployment of Semantic Technologies in Enterprises

2010 ◽  
pp. 105-131 ◽  
Author(s):  
Adrian Paschke ◽  
Gökhan Coskun ◽  
Ralf Heese ◽  
Markus Luczak-Rösch ◽  
Radoslaw Oldakowski ◽  
...  
Keyword(s):  
Semantic Web ◽  
Semantic Technologies

Knowledge Representation Technologies Using Semantic Web

Web Services ◽  
2019 ◽  
pp. 1068-1076
Author(s):  
Vudattu Kiran Kumar
Keyword(s):  
Semantic Web ◽  
Crucial Role ◽  
World Wide ◽  
Global Information ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowledge Repositories ◽  
The World ◽  
The Web

The World Wide Web (WWW) is global information medium, where users can read and write using computers over internet. Web is one of the services available on internet. The Web was created in 1989 by Sir Tim Berners-Lee. Since then a great refinement has done in the web usage and development of its applications. Semantic Web Technologies enable machines to interpret data published in a machine-interpretable form on the web. Semantic web is not a separate web it is an extension to the current web with additional semantics. Semantic technologies play a crucial role to provide data understandable to machines. To achieve machine understandable, we should add semantics to existing websites. With additional semantics, we can achieve next level web where knowledge repositories are available for better understanding of web data. This facilitates better search, accurate filtering and intelligent retrieval of data. This paper discusses about the Semantic Web and languages involved in describing documents in machine understandable format.

An Overview and Technological Background of Semantic Technologies

2021 ◽  
pp. 1-21
Author(s):  
Reinaldo Padilha França ◽  
Ana Carolina Borges Monteiro ◽  
Rangel Arthur ◽  
Yuzo Iano
Keyword(s):  
Semantic Web ◽  
Knowledge Representation ◽  
Data Representation ◽  
Current Data ◽  
The Internet ◽  
Semantic Technologies ◽  
Web Based ◽  
Web 3.0 ◽  
Technological Advances ◽  
The Web

The Semantic Web concept is an extension of the web obtained by adding semantics to the current data representation format. It is considered a network of correlating meanings. It is the result of a combination of web-based conceptions and technologies and knowledge representation. Since the internet has gone through many changes and steps in its web versions 1.0, 2.0, and Web 3.0, this last call of smart web, the concept of Web 3.0, is to be associated with the Semantic Web, since technological advances have allowed the internet to be present beyond the devices that were made exactly with the intention of receiving the connection, not limited to computers or smartphones since it has the concept of reading, writing, and execution off-screen, performed by machines. Therefore, this chapter aims to provide an updated review of Semantic Web and its technologies showing its technological origins and approaching its success relationship with a concise bibliographic background, categorizing and synthesizing the potential of technologies.

Knowledge Representation Technologies Using Semantic Web

2017 ◽  
pp. 158-166
Author(s):  
Vudattu Kiran Kumar
Keyword(s):  
Semantic Web ◽  
Crucial Role ◽  
World Wide ◽  
Global Information ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowledge Repositories ◽  
The World ◽  
The Web

The World Wide Web (WWW) is global information medium, where users can read and write using computers over internet. Web is one of the services available on internet. The Web was created in 1989 by Sir Tim Berners-Lee. Since then a great refinement has done in the web usage and development of its applications. Semantic Web Technologies enable machines to interpret data published in a machine-interpretable form on the web. Semantic web is not a separate web it is an extension to the current web with additional semantics. Semantic technologies play a crucial role to provide data understandable to machines. To achieve machine understandable, we should add semantics to existing websites. With additional semantics, we can achieve next level web where knowledge repositories are available for better understanding of web data. This facilitates better search, accurate filtering and intelligent retrieval of data. This paper discusses about the Semantic Web and languages involved in describing documents in machine understandable format.

SERREA

2010 ◽  
Vol 2 (2) ◽  
pp. 33-47 ◽  
Author(s):  
Ángel García-Crespo ◽  
Ricardo Colomo-Palacios ◽  
Juan Miguel Gómez-Berbís ◽  
Fernando Paniagua Martín
Keyword(s):  
Real Estate ◽  
Web Services ◽  
Semantic Web ◽  
Competitive Advantage ◽  
Management System ◽  
Market Competition ◽  
Semantic Technologies ◽  
Market Data ◽  
Precise Information ◽  
Business Operations

In the scenario of market competition in the Retail Real Estate Agencies (RREA) business, having exact information regarding properties in supply and their associated demand is a differentiating factor for organizations. The Semantic Web represents an opportunity to create extensible services that hold precise information concerning these types of markets. The objective of the current initiative is to use this market data as a competitive advantage for organizations. In this article, the authors propose SERREA, a management system for RREA based on semantics and constructed using Web Services, which has been implemented successfully in one of the leading agencies in Spain. The goal of this paper is to show how RREA benefits from using Semantic Technologies in the context of their business operations.

Semantic Business Process Management

2010 ◽  
pp. 1144-1166
Author(s):  
Sebastian Stein ◽  
Christian Stamber ◽  
Marwane El Kharbili ◽  
Pawel Rubach
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Business Process ◽  
Service Discovery ◽  
Business Process Management ◽  
Process Management ◽  
Semantic Integration ◽  
Semantic Technologies ◽  
Semantic Web Service Discovery

The application of semantic technologies promises boosting business process management because semantic integration of business and IT is achieved. To enable the vision of semantic business process management, semantic technologies like ontologies, reasoners, and semantic Web services must be integrated in BPM tools. We extended a professional BPM tool to allow semantic business process modelling using the EPC notation. In addition, we adapted the tool’s EPC to BPEL transformation to preserve the semantic annotations. By introducing a proxy service, we are able to perform Semantic Web service discovery on a standard BPEL engine. We evaluated our approach in an empirical case study, which was replicated 13 times by 17 participants from 8 different organisations. We received valuable feedback, which is interesting for researchers and practitioners trying to bring semantic technologies to end-users with no or only limited background knowledge about semantics.

A State of the Art on Big Data With Semantic Web Technologies

2020 ◽  
pp. 195-216
Author(s):  
Satyaveer Singh ◽  
Mahendra Singh Aswal
Keyword(s):  
Big Data ◽  
Semantic Web ◽  
Database Management ◽  
High Volume ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
The Past ◽  
Digital World ◽  
Data Heterogeneity

We live in a digital world where a large amount of data is being generated rapidly by various diverse sources with an unprecedented rate. The term Big Data has been coined to represent a large amount of data. But Big Data could not be processed and analysed by traditional database management systems. A number of challenges such as data heterogeneity and diversity are being faced by enterprises due to high volume, variety, and velocity of Big Data. Since the past few years, some research efforts have been attempted to integrate semantic web technologies such as ontologies with Big Data. This integration is paving the way to deal with various issues that are related to the processing of Big Data. This chapter firstly uncovers the fundamentals of Big Data, its characteristics and opportunities, challenges, related current tools, and technologies. Secondly, it tries to highlight the integration of Big Data with semantic web technologies. The promising research is going on to tackle volume and velocity of Big Data by using semantic technologies.

Applicability Assessment of Semantic Web Technologies in Human Resources Domain

2012 ◽  
pp. 470-485
Author(s):  
Valentina Janev ◽  
Sanja Vraneš
Keyword(s):  
Information Systems ◽  
Semantic Web ◽  
Human Resources ◽  
Business Processes ◽  
Global Market ◽  
Semantic Technologies ◽  
Enterprise Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Illustrative Case Study

To meet the challenges of today’s Internet economy and be competitive in a global market, enterprises are constantly adapting their business processes and adjusting their information systems. In this article, the authors analyze the applicability and benefits of using semantic technologies in contemporary information systems. By using an illustrative case study of deployment of Semantic Web technologies in Human Resources sector at the Mihajlo Pupin Institute, this paper shows how the latest semantic technologies could be used with existing Enterprise Information Systems and Enterprise Content Management systems to ensure meaningful search and retrieval of expertise for in-house users as well as for integration in the European research space and beyond.

Applicability Assessment of Semantic Web Technologies in Human Resources Domain

2010 ◽  
Vol 23 (3) ◽  
pp. 27-42 ◽  
Author(s):  
Valentina Janev ◽  
Sanja Vraneš
Keyword(s):  
Information Systems ◽  
Semantic Web ◽  
Human Resources ◽  
Business Processes ◽  
Content Management ◽  
Global Market ◽  
Illustrative Case ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies

To meet the challenges of today’s Internet economy and be competitive in a global market, enterprises are constantly adapting their business processes and adjusting their information systems. In this article, the authors analyze the applicability and benefits of using semantic technologies in contemporary information systems. By using an illustrative case study of deployment of Semantic Web technologies in Human Resources sector at the Mihajlo Pupin Institute, this paper shows how the latest semantic technologies could be used with existing Enterprise Information Systems and Enterprise Content Management systems to ensure meaningful search and retrieval of expertise for in-house users as well as for integration in the European research space and beyond.

scholarly journals A Survey on Challenges of Semantics Application in the Internet of Things Domain

2017 ◽  
Vol 21 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Marina Harlamova ◽  
Mārīte Kirikova ◽  
Kurt Sandkuhl
Keyword(s):  
Internet Of Things ◽  
Semantic Web ◽  
The Internet ◽  
Complex Nature ◽  
Semantic Technologies ◽  
Present Survey ◽  
Communication Approach ◽  
Research On Application ◽  
The Internet Of Things ◽  
Technology Area

AbstractThe Internet of Things (IoT), a global Internet-based system of computing devices and machines, is one of the most significant trends in the information technology area. An accepted unified communication approach would be a prerequisite for its mass adoption. Semantic technologies (Semantic Web) have been advocated as enablers of unified communication. However, while there are particular advancements in research on application of Semantic Web in the IoT domain, the dynamic and complex nature of the IoT often requires case specific solutions hard to be applied widely. In the present survey, the semantic technology challenges in the IoT domain are amalgamated to provide background for further studies in the use of semantic technologies in the IoT.

scholarly journals Linked Data Tools

2021 ◽  
Author(s):  
Gillian Byrne ◽  
Lisa Goddard
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
The State ◽  
The Internet ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Distributed Reasoning ◽  
New Knowledge ◽  
Immense Potential

Semantic Web technologies have immense potential to transform the Internet into a distributed reasoning machine that will not only execute extremely precise searches, but will also have the ability to analyze the data it finds to create new knowledge. This paper examines the state of Semantic Web (also known as Linked Data) tools and infrastructure to determine whether semantic technologies are sufficiently mature for non–expert use, and to identify some of the obstacles to global Linked Data implementation.

Sign in / Sign up

Export Citation Format

Share Document