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
More filters
Journal ArticleDOI
Mining query-logs towards learning useful kick-off ontologies: an incentive to semantic web content creation
TL;DR: An ontology learning method that automatically (unsupervised) builds useful kick-off ontologies from query logs is presented, demonstrating that this new approach plays a significant role as an incentive in the semantic content creation bottleneck.
Proceedings ArticleDOI
Integrating heterogeneous freight performance data for smart mobility
TL;DR: This research aims to expand the existing freight performance measures and organize them into a integrated framework that can be extended to integrate and aggregate data on a larger scale such as a state or country.
Journal ArticleDOI
Going beyond completeness in information retrieval
TL;DR: A classification of semantic-based techniques which rely on semantic aspects of people and surroundings as well as data objects themselves are presented and the notion of cognition-based retrieval which counts the authors' cognitive nature in retrieval processing as a new promising approach is presented.
Journal ArticleDOI
Towards an ontology for psychological disorders
Alejandro Rodríguez González,Jose María Álvarez Rodríguez,Cristina Casado-Lumbreras,Ricardo Colomo-Palacios +3 more
TL;DR: This paper presents an ontology with the aim of reusing existing works and serving as the key element of a clinical DSS in the field of mental disorders.
Journal Article
Linked Enterprise Data for Competitive Intelligence Support
TL;DR: In this article, a literatura sera revisada possibilitando o desenho de arcabouco conceitual, and uma ferramenta construída, integrando conjuntos de dados internos e externos.
References
More filters
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.