scholarly journals A Parallel Environment Designing for OWL Thinking

2020 ◽  
Vol 32 ◽  
pp. 03015
Author(s):  
Sanjana C Madargi ◽  
Leena R Ragha ◽  
Vanita M Mane
Keyword(s):  
Semantic Web ◽  
Semantic Knowledge ◽  
The Internet ◽  
Classification Techniques ◽  
T Box ◽  
Search Volume ◽  
Speed Up ◽  
Parallel Environment

A huge volume of information available today is in the form of images and searching the wanted images is very difficult and highly time-consuming. The search may take longer periods as the search volume on the internet is very huge and also the relevance of extracted images is still not up to the mark. The technologies like ontology and languages like OWL help us to tag the images that describe the semantic of the images. Hence, it helps in faster searching of the wanted images. Also, another challenge with OWL and Semantic web is the speed in which one can derive the relationships between various objects extracted from the images. The challenge is to extract the semantic from the images more efficiently using a parallel approach. In this paper, we explore the different techniques for generating semantic knowledge using parallel approaches like the T-box approach, merge classification, extract concept for matching ontology. We propose an enhanced method to speed-up the computation by combining T-box and merge classification techniques.

How Industry 4.0 Can Benefit From Semantic Web Technologies and Artefacts

2021 ◽  
Vol 13 (4) ◽  
pp. 64-74
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Semantic Web ◽  
Industry 4.0 ◽  
The Internet ◽  
Time Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Real Time Data ◽  
The Internet Of Things

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.

Discovering Complex Relationships of Drugs over Distributed Knowledgebases

2016 ◽  
pp. 1572-1591
Author(s):  
Juan Li ◽  
Ranjana Sharma ◽  
Yan Bai
Keyword(s):  
Drug Discovery ◽  
Semantic Web ◽  
Distributed System ◽  
Large Scale ◽  
The Internet ◽  
Full Potential ◽  
Web Data ◽  
Semantic Relationships ◽  
Complex Relationships

Drug discovery is a lengthy, expensive and difficult process. Indentifying and understanding the hidden relationships among drugs, genes, proteins, and diseases will expedite the process of drug discovery. In this paper, we propose an effective methodology to discover drug-related semantic relationships over large-scale distributed web data in medicine, pharmacology and biotechnology. By utilizing semantic web and distributed system technologies, we developed a novel hierarchical knowledge abstraction and an efficient relation discovery protocol. Our approach effectively facilitates the realization of the full potential of harnessing the collective power and utilization of the drug-related knowledge scattered over the Internet.

Semantic E-Business Challenges and Directions

2011 ◽  
pp. 1421-1428
Author(s):  
Giorgos Laskaridis ◽  
Konstantinos Markellos ◽  
Penelope Markellou ◽  
Angeliki Panayiotaki ◽  
Athanasios Tsakalidis
Keyword(s):  
Semantic Web ◽  
World Wide ◽  
Business Processes ◽  
Semantic Knowledge ◽  
Web Based ◽  
The World ◽  
Extensible Markup ◽  
Description Framework ◽  
Business Challenges ◽  
Resource Description

The emergence of semantic Web opens up boundless new opportunities for e-business. According to Tim Berners-Lee, Hendler, and Lassila (2001), “the semantic Web is an extension of the current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation”. A more formal definition by W3C (2001) refers that, “the semantic Web is the representation of data on the World Wide Web. It is a collaborative effort led by W3C with participation from a large number of researchers and industrial partners. It is based on the resource description framework (RDF), which integrates a variety of applications using eXtensible Markup Language (XML) for syntax and uniform resource identifiers (URIs) for naming”. The capability of the semantic Web to add meaning to information, stored in such way that it can be searched and processed as well as recent advances in semantic Web-based technologies provide the mechanisms for semantic knowledge representation, exchange and collaboration of e-business processes and applications.

A Review of Fuzzy Models for the Semantic Web

2011 ◽  
pp. 63-77
Author(s):  
Hailong Wang ◽  
Zongmin Ma ◽  
Li Yan ◽  
Jingwei Cheng
Keyword(s):  
Computational Complexity ◽  
Semantic Web ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Description Logics ◽  
Expressive Power ◽  
Semantic Knowledge ◽  
Context Information ◽  
Semantic Knowledge Base

In the Semantic Web context, information would be retrieved, processed, shared, reused and aligned in the maximum automatic way possible. Our experience with such applications in the Semantic Web has shown that these are rarely a matter of true or false but rather procedures that require degrees of relatedness, similarity, or ranking. Apart from the wealth of applications that are inherently imprecise, information itself is many times imprecise or vague. In order to be able to represent and reason with such type of information in the Semantic Web, different general approaches for extending semantic web languages with the ability to represent imprecision and uncertainty has been explored. In this chapter, we focus our attention on fuzzy extension approaches which are based on fuzzy set theory. We review the existing proposals for extending the theoretical counterpart of the semantic web languages, description logics (DLs), and the languages themselves. The following statements will include the expressive power of the fuzzy DLs formalism and its syntax and semantic, knowledge base, the decidability of the tableaux algorithm and its computational complexity etc. Also the fuzzy extension to OWL is discussed in this chapter.

Benefit-Driven Approach to Writing for the Internet

2021 ◽  
pp. 114-137
Author(s):  
Belem Barbosa
Keyword(s):  
Marketing Strategies ◽  
Target Audience ◽  
The Internet ◽  
Effective Competition ◽  
Search Volume ◽  
Starting Point ◽  
Competition Level ◽  
Development Approach ◽  
Content Marketing ◽  
Valuable Content

There is a dual challenge for writing content for the internet: conquering search engines and attracting the attention of target audiences. This chapter proposes a content planning and development approach with a triple focus: main keyword power, target audience, and benefit provided. It argues that keyword power, given by its search volume and effective competition level, provides only an incomplete starting point for creating valuable content, as content effectiveness will ultimately depend on the benefit provided for the target audience. A benefit-driven approach to writing valuable and optimized content is particularly interesting for increasing reach, interaction, and involvement, thus being recommended for inbound and content marketing strategies. The phases of benefit-driven content writing are described, from keyword choice to the main optimization procedures.

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.

Non-Monotonic Modeling for Personalized Services Retrieval and Selection

2010 ◽  
Vol 1 (2) ◽  
pp. 55-68 ◽  
Author(s):  
Raymond Y. K. Lau ◽  
Wenping Zhang
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Semantic Web Services ◽  
The Internet ◽  
Electronic Payment ◽  
Uncertainty Reasoning ◽  
Service Information ◽  
Personalized Services ◽  
Core Elements ◽  
Processing Cycle

With growing interest in Semantic Web services and emerging standards, such as OWL, WSMO, and SWSL in particular, the importance of applying logic-based models to develop core elements of the intelligent Semantic Web has been more closely examined. However, little research has been conducted in Semantic Web services on issues of non-mono-tonicity and uncertainty of Web services retrieval and selection. In this paper, the authors propose a non-monotonic modeling and uncertainty reasoning framework to address problems related to adaptive and personalized services retrieval and selection in the context of micro-payment processing of electronic commerce. As intelligent payment service agents are faced with uncertain and incomplete service information available on the Internet, non-monotonic modeling and reasoning provides a robust and powerful framework to enable agents to make service-related decisions quickly and effectively with reference to an electronic payment processing cycle.

Semantic Portals

2011 ◽  
pp. 887-893
Author(s):  
Brooke Abrahams
Keyword(s):  
Semantic Web ◽  
Entry Point ◽  
Level Of Service ◽  
The Internet ◽  
Web Portals ◽  
Information Presentation ◽  
Process Information ◽  
Internet Technologies ◽  
New Approaches ◽  
The Web

Web portals provide an entry point for information presentation and exchange over the Internet for various domains of interest. Current Internet technologies, however, often fail to provide users of Web portals with the type of information or level of service they require. Limitations associated with the Web affect the users of Web portals ability to search, access, extract, interpret, and process information. The Semantic Web (Berners-Lee, Hendler, & Lassila, 2001) enables new approaches to the design of such portals and has the potential of overcoming these limitations by enabling machines to interpret information so that it can be integrated and processed more effectively.

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