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 Link-Based Ranking Algorithm for Semantic Web Resources

2011 ◽  
Vol 22 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Hyunjung Park ◽  
Sangkyu Rho ◽  
Jinsoo Park
Keyword(s):  
Semantic Web ◽  
World Wide ◽  
Fundamental Difference ◽  
Ranking Algorithm ◽  
Relative Significance ◽  
Web Resources ◽  
The World ◽  
Description Framework ◽  
Different Characteristics ◽  
Resource Description

The information space of the Semantic Web has different characteristics from that of the World Wide Web (WWW). One main difference is that in the Semantic Web, the direction of Resource Description Framework (RDF) links does not have the same meaning as the direction of hyperlinks in the WWW, because the link direction is determined not by a voting process but by a specific schema in the Semantic Web. Considering this fundamental difference, the authors propose a method for ranking Semantic Web resources independent of link directions and show the convergence of the algorithm and experimental results. This method focuses on the classes rather than the properties. The property weights are assigned depending on the relative significance of the property to the resource importance of each class. It solves some problems reported in prior studies, including the Tightly Knit Community (TKC) effect, as well as having higher accuracy and validity compared to existing methods.

A Link-Based Ranking Algorithm for Semantic Web Resources

2013 ◽  
pp. 1-25
Author(s):  
Hyunjung Park ◽  
Sangkyu Rho ◽  
Jinsoo Park
Keyword(s):  
Semantic Web ◽  
World Wide ◽  
Fundamental Difference ◽  
Experimental Results ◽  
Relative Significance ◽  
Web Resources ◽  
The World ◽  
Description Framework ◽  
Different Characteristics ◽  
Resource Description

The information space of the Semantic Web has different characteristics from that of the World Wide Web (WWW). One main difference is that in the Semantic Web, the direction of Resource Description Framework (RDF) links does not have the same meaning as the direction of hyperlinks in the WWW, because the link direction is determined not by a voting process but by a specific schema in the Semantic Web. Considering this fundamental difference, the authors propose a method for ranking Semantic Web resources independent of link directions and show the convergence of the algorithm and experimental results. This method focuses on the classes rather than the properties. The property weights are assigned depending on the relative significance of the property to the resource importance of each class. It solves some problems reported in prior studies, including the Tightly Knit Community (TKC) effect, as well as having higher accuracy and validity compared to existing methods.

Technique for Transformation of Data From RDB to XML Then to RDF

2017 ◽  
pp. 70-91 ◽  
Author(s):  
Kaleem Razzaq Malik ◽  
Tauqir Ahmad
Keyword(s):  
Semantic Web ◽  
Relational Database ◽  
Resource Description Framework ◽  
Data Science ◽  
True Nature ◽  
Extensible Markup ◽  
Description Framework ◽  
Mapping Techniques ◽  
Resource Description ◽  
The Web

This chapter will clearly show the need for better mapping techniques for Relational Database (RDB) all the way to Resource Description Framework (RDF). This includes coverage of each data model limitations and benefits for getting better results. Here, each form of data being transform has its own importance in the field of data science. As RDB is well known back end storage for information used to many kinds of applications; especially the web, desktop, remote, embedded, and network-based applications. Whereas, EXtensible Markup Language (XML) in the well-known standard for data for transferring among all computer related resources regardless of their type, shape, place, capability and capacity due to its form is in application understandable form. Finally, semantically enriched and simple of available in Semantic Web is RDF. This comes handy when with the use of linked data to get intelligent inference better and efficient. Multiple Algorithms are built to support this system experiments and proving its true nature of the study.

OWL

2011 ◽  
pp. 3009-3017
Author(s):  
Adélia Gouveia ◽  
Jorge Cardoso
Keyword(s):  
World Wide Web ◽  
Semantic Web ◽  
Particle Physics ◽  
World Wide ◽  
Visual Presentation ◽  
Web Pages ◽  
Markup Language ◽  
Extensible Markup ◽  
Description Framework ◽  
The Web

The World Wide Web (WWW) emerged in 1989, developed by Tim Berners-Lee who proposed to build a system for sharing information among physicists of the CERN (Conseil Européen pour la Recherche Nucléaire), the world’s largest particle physics laboratory. Currently, the WWW is primarily composed of documents written in HTML (hyper text markup language), a language that is useful for visual presentation (Cardoso & Sheth, 2005). HTML is a set of “markup” symbols contained in a Web page intended for display on a Web browser. Most of the information on the Web is designed only for human consumption. Humans can read Web pages and understand them, but their inherent meaning is not shown in a way that allows their interpretation by computers (Cardoso & Sheth, 2006). Since the visual Web does not allow computers to understand the meaning of Web pages (Cardoso, 2007), the W3C (World Wide Web Consortium) started to work on a concept of the Semantic Web with the objective of developing approaches and solutions for data integration and interoperability purpose. The goal was to develop ways to allow computers to understand Web information. The aim of this chapter is to present the Web ontology language (OWL) which can be used to develop Semantic Web applications that understand information and data on the Web. This language was proposed by the W3C and was designed for publishing, sharing data and automating data understood by computers using ontologies. To fully comprehend OWL we need first to study its origin and the basic blocks of the language. Therefore, we will start by briefly introducing XML (extensible markup language), RDF (resource description framework), and RDF Schema (RDFS). These concepts are important since OWL is written in XML and is an extension of RDF and RDFS.

A Tutorial on RDF with Jena

2011 ◽  
pp. 116-140
Author(s):  
Wan-Yeung Wong ◽  
Tak-Pang Lau ◽  
Irwin King ◽  
Michael R. Lyu
Keyword(s):  
World Wide Web ◽  
Resource Description Framework ◽  
World Wide ◽  
Business Applications ◽  
The World ◽  
Common Framework ◽  
Basic Concepts ◽  
Description Framework ◽  
Resource Description ◽  
Standard Framework

This chapter gives a tutorial on resource description framework (RDF), its XML representation, and Jena, a set of Java-based API designed and implemented to further simplify the manipulation of RDF documents. RDF is a W3C standard which provides a common framework for describing resources in the World Wide Web and other applications. Under this standard framework with the Jena, different resources can be manipulated and exchanged easily, which leads to cost reduction and better efficiency in business applications. In this tutorial, we present some basic concepts and applications of RDF and Jena. In particular, we use a television object to illustrate the usage of RDF in describing various resources being used, the XML syntax in representing the RDF, and the ways Jena manipulate various RDF documents. Furthermore, complete programming codes with detailed explanations are also presented to give readers a better understanding of Jena. References are given at the end for readers’ further investigation.

scholarly journals A Survey of Geospatial Semantic Web for Cultural Heritage

Heritage ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 1471-1498 ◽  
Author(s):  
Ikrom Nishanbaev ◽  
Erik Champion ◽  
David A. McMeekin
Keyword(s):  
Semantic Web ◽  
Cultural Heritage ◽  
Open Source ◽  
Web Based ◽  
Digital Cultural Heritage ◽  
New Ideas ◽  
Description Framework ◽  
Machine Readable ◽  
Resource Description

The amount of digital cultural heritage data produced by cultural heritage institutions is growing rapidly. Digital cultural heritage repositories have therefore become an efficient and effective way to disseminate and exploit digital cultural heritage data. However, many digital cultural heritage repositories worldwide share technical challenges such as data integration and interoperability among national and regional digital cultural heritage repositories. The result is dispersed and poorly-linked cultured heritage data, backed by non-standardized search interfaces, which thwart users’ attempts to contextualize information from distributed repositories. A recently introduced geospatial semantic web is being adopted by a great many new and existing digital cultural heritage repositories to overcome these challenges. However, no one has yet conducted a conceptual survey of the geospatial semantic web concepts for a cultural heritage audience. A conceptual survey of these concepts pertinent to the cultural heritage field is, therefore, needed. Such a survey equips cultural heritage professionals and practitioners with an overview of all the necessary tools, and free and open source semantic web and geospatial semantic web platforms that can be used to implement geospatial semantic web-based cultural heritage repositories. Hence, this article surveys the state-of-the-art geospatial semantic web concepts, which are pertinent to the cultural heritage field. It then proposes a framework to turn geospatial cultural heritage data into machine-readable and processable resource description framework (RDF) data to use in the geospatial semantic web, with a case study to demonstrate its applicability. Furthermore, it outlines key free and open source semantic web and geospatial semantic platforms for cultural heritage institutions. In addition, it examines leading cultural heritage projects employing the geospatial semantic web. Finally, the article discusses attributes of the geospatial semantic web that require more attention, that can result in generating new ideas and research questions for both the geospatial semantic web and cultural heritage fields.

Application Profiles

2017 ◽  
pp. 1-15
Author(s):  
Karen Coyle
Keyword(s):  
Resource Description Framework ◽  
World Wide ◽  
Xml Schema ◽  
Dublin Core ◽  
Xml Documents ◽  
Framework Model ◽  
The World ◽  
Description Framework ◽  
Machine Readable ◽  
Resource Description

Application profiles fulfill similar functions to other forms of metadata documentation, such as data dictionaries. The preference is for application profiles to be machine-readable and machine-actionable, so that they can provide validation and processing instructions, not unlike XML schema does for XML documents. These goals are behind the work of the Dublin Core Metadata Initiative in the work that has been done over the last decade to develop application profiles for data that uses the Resource Description Framework model of the World Wide Web Consortium.

scholarly journals Transitioning from XML to RDF: Considerations for an effective move towards Linked Data and the Semantic Web

2016 ◽  
Vol 35 (1) ◽  
pp. 51 ◽  
Author(s):  
Juliet L. Hardesty
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Academic Library ◽  
Data Sets ◽  
Markup Language ◽  
Digital Repository ◽  
Extensible Markup ◽  
Description Framework ◽  
Meaningful Relationships ◽  
Resource Description

Metadata, particularly within the academic library setting, is often expressed in eXtensible Markup Language (XML) and managed with XML tools, technologies, and workflows. Managing a library’s metadata currently takes on a greater level of complexity as libraries are increasingly adopting the Resource Description Framework (RDF). Semantic Web initiatives are surfacing in the library context with experiments in publishing metadata as Linked Data sets and also with development efforts such as BIBFRAME and the Fedora 4 Digital Repository incorporating RDF. Use cases show that transitions into RDF are occurring in both XML standards and in libraries with metadata encoded in XML. It is vital to understand that transitioning from XML to RDF requires a shift in perspective from replicating structures in XML to defining meaningful relationships in RDF. Establishing coordination and communication among these efforts will help as more libraries move to use RDF, produce Linked Data, and approach the Semantic Web.

An integration approach of multi-source heterogeneous fuzzy spatiotemporal data based on RDF

2021 ◽  
Vol 40 (1) ◽  
pp. 1065-1082
Author(s):  
Luyi Bai ◽  
Nan Li ◽  
Huilei Bai
Keyword(s):  
World Wide ◽  
Integration Method ◽  
Graph Model ◽  
Spatiotemporal Data ◽  
Rdf Graph ◽  
Integration Approach ◽  
The World ◽  
Description Framework ◽  
Resource Description ◽  
Significant Superiority

With the growing importance of the fuzzy spatiotemporal data in information application, there is an increasing need for researching on the integration method of multi-source heterogeneous fuzzy spatiotemporal data. In this paper, we first propose a fuzzy spatiotemporal RDF graph model based on RDF (Resource Description Framework) that proposed by the World Wide Web Consortium (W3C) to represent data in triples (subject, predicate, object). Secondly, we analyze and classify the related heterogeneous problems of multi-source heterogeneous fuzzy spatiotemporal data, and use the fuzzy spatiotemporal RDF graph model to define the corresponding rules to solve these heterogeneous problems. In addition, based on the characteristics of RDF triples, we analyze the heterogeneous problem of multi-source heterogeneous fuzzy spatiotemporal data integration in RDF triples, and provide the integration methods FRDFG in this paper. Finally, we report our experiments results to validate our approach and show its significant superiority.

Designing Web-Based Hypermedia Systems

2011 ◽  
pp. 173-179 ◽  
Author(s):  
Michael Lang
Keyword(s):  
World Wide Web ◽  
World Wide ◽  
Common Gateway Interface ◽  
Markup Language ◽  
Document Object Model ◽  
Web Based ◽  
The World ◽  
Extensible Markup ◽  
The Common ◽  
The Web

Although its conceptual origins can be traced back a few decades (Bush, 1945), it is only recently that hypermedia has become popularized, principally through its ubiquitous incarnation as the World Wide Web (WWW). In its earlier forms, the Web could only properly be regarded a primitive, constrained hypermedia implementation (Bieber & Vitali, 1997). Through the emergence in recent years of standards such as eXtensible Markup Language (XML), XLink, Document Object Model (DOM), Synchronized Multimedia Integration Language (SMIL) and WebDAV, as well as additional functionality provided by the Common Gateway Interface (CGI), Java, plug-ins and middleware applications, the Web is now moving closer to an idealized hypermedia environment. Of course, not all hypermedia systems are Web based, nor can all Web-based systems be classified as hypermedia (see Figure 1). See the terms and definitions at the end of this article for clarification of intended meanings. The focus here shall be on hypermedia systems that are delivered and used via the platform of the WWW; that is, Web-based hypermedia systems.

Sign in / Sign up

Export Citation Format

Share Document