Querying Web Accessibility Knowledge from Web Graphs

2011 ◽  
pp. 1437-1461 ◽  
Author(s):  
Rui Lopes ◽  
Luís Carriço
Keyword(s):  
Social Inclusion ◽  
Large Scale ◽  
Web Accessibility ◽  
Relevant Information ◽  
Point Of View ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowledge Framework ◽  
Web Graphs ◽  
The Web

Web Accessibility is a hot topic today. Striving for social inclusion has resulted in the requirement of providing accessible content to all users. However, since each user is unique, and the Web evolves in a decentralized way, little or none is known about the shape of the Web’s accessibility on its own at a large scale, as well as from the point-of-view of each user. In this chapter the authors present the Web Accessibility Knowledge Framework as the foundation for specifying the relevant information about the accessibility of a Web page. This framework leverages Semantic Web technologies, side by side with audience modeling and accessibility metrics, as a way to study the Web as an entity with unique accessibility properties dependent from each user’s point of view. Through this framework, the authors envision a set of queries that can help harnessing and inferring this kind of knowledge from Web graphs.

Querying Web Accessibility Knowledge from Web Graphs

2010 ◽  
pp. 88-112 ◽  
Author(s):  
Rui Lopes ◽  
Luís Carriço
Keyword(s):  
Social Inclusion ◽  
Large Scale ◽  
Web Accessibility ◽  
Relevant Information ◽  
Point Of View ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowledge Framework ◽  
Web Graphs ◽  
The Web

Web Accessibility is a hot topic today. Striving for social inclusion has resulted in the requirement of providing accessible content to all users. However, since each user is unique, and the Web evolves in a decentralized way, little or none is known about the shape of the Web’s accessibility on its own at a large scale, as well as from the point-of-view of each user. In this chapter the authors present the Web Accessibility Knowledge Framework as the foundation for specifying the relevant information about the accessibility of a Web page. This framework leverages Semantic Web technologies, side by side with audience modeling and accessibility metrics, as a way to study the Web as an entity with unique accessibility properties dependent from each user’s point of view. Through this framework, the authors envision a set of queries that can help harnessing and inferring this kind of knowledge from Web graphs.

Data Integration in the Geospatial Semantic Web

2011 ◽  
pp. 272-293
Author(s):  
Patrick Maué ◽  
Sven Schade
Keyword(s):  
Decision Support ◽  
Semantic Web ◽  
Real World ◽  
Relevant Information ◽  
Decision Makers ◽  
Semantic Web Technologies ◽  
Domain Experts ◽  
Web Technologies ◽  
Opening Up ◽  
The Web

Geospatial decision makers have to be aware of the varying interests of all stakeholders. One crucial task in the process is to identify relevant information available from the Web. In this chapter the authors introduce an application in the quarrying domain which integrates Semantic Web technologies to provide new ways to discover and reason about relevant information. The authors discuss the daily struggle of the domain experts to create decision-support maps helping to find suitable locations for opening up new quarries. After explaining how semantics can help these experts, they introduce the various components and the architecture of the software which has been developed in the European funded SWING project. In the last section, the different use cases illustrate how the implemented tools have been applied to real world scenarios.

Data Integration in the Geospatial Semantic Web

2009 ◽  
Vol 11 (4) ◽  
pp. 100-122 ◽  
Author(s):  
Patrick Maué ◽  
Sven Schade
Keyword(s):  
Decision Support ◽  
Semantic Web ◽  
Real World ◽  
Relevant Information ◽  
Decision Makers ◽  
Semantic Web Technologies ◽  
Domain Experts ◽  
Web Technologies ◽  
Opening Up ◽  
The Web

Geospatial decision makers have to be aware of the varying interests of all stakeholders. One crucial task in the process is to identify relevant information available from the Web. In this chapter the authors introduce an application in the quarrying domain which integrates Semantic Web technologies to provide new ways to discover and reason about relevant information. The authors discuss the daily struggle of the domain experts to create decision-support maps helping to find suitable locations for opening up new quarries. After explaining how semantics can help these experts, they introduce the various components and the architecture of the software which has been developed in the European funded SWING project. In the last section, the different use cases illustrate how the implemented tools have been applied to real world scenarios.

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.

Towards Supporting Interoperability in e-Invoicing Based on Semantic Web Technologies

2012 ◽  
pp. 705-724
Author(s):  
José Manuel Gómez-Pérez ◽  
Víctor Méndez
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Formal Model ◽  
Scale Transformation ◽  
Pharmaceutical Sector ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Business Transactions ◽  
Reference Implementation ◽  
Semantic Hub

Since the use of electronic invoicing in business transactions was approved by the EU back in 2002, its application in Europe has grown considerably. However, despite the existence of standards like EDIFACT or UBL, widespread take up of electronic invoicing has been hindered by the enormous heterogeneity of proprietary solutions. In this chapter, the authors present an approach towards addressing the interoperability problem in electronic invoice exchange, based on ontologies and Semantic Web technologies. The authors propose methods and provide usable tools that leverage the knowledge of users of electronic invoicing systems by empowering them to define correspondences between sample electronic invoice data and a formal model of electronic invoicing represented as networked ontologies. The chapter follows a learn-by-example approach where, based on such correspondences, networked ontologies serve as a semantic hub for large-scale transformation of e-invoice data between heterogeneous e-invoicing formats and models. The approach has been evaluated through the development of a reference implementation and its deployment in the pharmaceutical sector.

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.

A Semantic-Driven Adaptive Architecture for Large Scale P2P Networks

2010 ◽  
Vol 2 (4) ◽  
pp. 12-30 ◽  
Author(s):  
Athena Eftychiou ◽  
Bogdan Vrusias ◽  
Nick Antonopoulos
Keyword(s):  
Large Scale ◽  
Network Formation ◽  
Collective Intelligence ◽  
Semantic Knowledge ◽  
Resource Discovery ◽  
Online Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Adaptive Architecture

The increasing amount of online information demands effective, scalable, and accurate mechanisms to manage and search this information. Distributed semantic-enabled architectures, which enforce semantic web technologies for resource discovery, could satisfy these requirements. In this paper, a semantic-driven adaptive architecture is presented, which improves existing resource discovery processes. The P2P network is organised in a two-layered super-peer architecture. The network formation of super-peers is a conceptual representation of the network’s knowledge, shaped from the information provided by the nodes using collective intelligence methods. The authors focus on the creation of a dynamic hierarchical semantic-driven P2P topology using the network’s collective intelligence. The unmanageable amounts of data are transformed into a repository of semantic knowledge, transforming the network into an ontology of conceptually related entities of information collected from the resources located by peers. Appropriate experiments have been undertaken through a case study by simulating the proposed architecture and evaluating results.

Web Data Quality

2014 ◽  
Vol 10 (2) ◽  
pp. 1-6 ◽  
Author(s):  
Amrapali Zaveri ◽  
Andrea Maurino ◽  
Laure-Berti Equille
Keyword(s):  
Semantic Web ◽  
Data Quality ◽  
Linked Data ◽  
Web Data ◽  
Semantic Web Technologies ◽  
Future Directions ◽  
Web Technologies ◽  
Current State ◽  
Web Of Data ◽  
The Web

The standardization and adoption of Semantic Web technologies has resulted in an unprecedented volume of data being published as Linked Data (LD). However, the “publish first, refine later” philosophy leads to various quality problems arising in the underlying data such as incompleteness, inconsistency and semantic ambiguities. In this article, we describe the current state of Data Quality in the Web of Data along with details of the three papers accepted for the International Journal on Semantic Web and Information Systems' (IJSWIS) Special Issue on Web Data Quality. Additionally, we identify new challenges that are specific to the Web of Data and provide insights into the current progress and future directions for each of those challenges.

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