Building a Pragmatic Semantic Web
TLDR
A practical approach to adopting semantic Web technologies enables large organizations to share data while achieving clear private as well as public reuse benefits.Abstract:
Many real-world tasks require the acquisition and integration of information from a distributed set of heterogeneous sources. Hence, there's no shortage of opportunities for applications using Semantic Web (SW) technologies. The power of publishing and linking data in a way that machines can automatically interpret through ontologies is beginning to materialize. However, market penetration level is relatively low, and it's still no routine matter for an enterprise, organization, governmental agency, or business with large distributed databases to add them to the Web of linked and semantically enriched data. In part, they may suspect that they're expected to pioneer an approach in which quick wins are few. Moreover, cost and privacy issues arise when ever-increasing amounts of information are linked into the Web. A practical approach to adopting semantic Web technologies enables large organizations to share data while achieving clear private as well as public reuse benefits.read more
Citations
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Journal ArticleDOI
An Approach for Secure Semantic Data Integration at Data as a Service (DaaS) Layer
TL;DR: This research proposes a framework that would allow data from different sources to be integrated using the concept of semantic data, thus resolving the issue of interoperability and also devises an access control system for defining explicit privacy constraints.
DissertationDOI
On improving service provision through the use of customer – centric semantic service models.
Nikolaos Loutas,Νικόλαος Λούτας +1 more
TL;DR: It is shown here how to identify the different types of plaster molds used in the construction of buildings.
Proceedings ArticleDOI
Learning Useful Kick-off Ontologies from Query Logs: HCOME Revised
TL;DR: The aim of the paper is to present a novice ontology learning approach that automatically constructs kick-off and useful ontologies from query logs, and places tasks related to the proposed learning approach in all phases of an ontology engineering life-cycle.
Book
Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources
TL;DR: This doctoral thesis proposes a novel approach that combines corpus-based methods with knowledge extracted from Semantic Web sources for learning non-taxonomic relations in ontologies and demonstrates the superior performance as compared to methods that solely rely on domain text data or those that only build upon reasoning on external structured data sources.
Book ChapterDOI
Rethinking the semantic annotation of services
TL;DR: This work extends and enhances existing semantic service models by involving users and by including service metadata related to the user's view of the service and their behaviour, which are later used as a form of lightweight user-side semantic annotation of services.
References
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Journal ArticleDOI
The Semantic Web Revisited
TL;DR: It is argued that agents can only flourish when standards are well established and that the Web standards for expressing shared meaning have progressed steadily over the past five years.
How to Publish Linked Data on the Web - Proposal for a Half-day Tutorial at ISWC2008
TL;DR: This tutorial will provide participants with a solid foundation from which to begin publishing Linked Data on the Web, as well as to implement applications that consume Linked data from the Web.
Book
A Framework for Web Science
TL;DR: This text sets out a series of approaches to the analysis and synthesis of the World Wide Web, and other web-like information structures, and a comprehensive set of research questions is outlined, together with a sub-disciplinary breakdown, emphasising the multi-faceted nature of the Web.
Journal ArticleDOI
The Emerging Web of Linked Data
TL;DR: The paper concludes by stating that the Web has succeeded as a single global information space that has dramatically changed the way the authors use information, disrupted business models, and led to profound societal change.
Creating a Science of Web.
TL;DR: In this paper, the authors argue that the Web has been transformational and we need to understand it, we need anticipate future developments and identify opportunities and threats, and that we need a new discipline: Web Science.