Journal Article10.3233/SW-2010-0024
Towards the ubiquitous Web
Andreas Hotho,Gerd Stumme +1 more
TL;DR: The Ubiquitous Web vision is discussed, by addressing the challenge of bridging the gap between Web 2.0 and the Semantic Web, before widening the scope to mobile applications.
read more
Abstract: Today, we observe the amalgamation of the Social Web and the Mobile Web, which will ultimately lead to a Ubiquitous Web. The integration and aggregation of the different kinds of available data, and the extraction of useful knowledge and its representation has become an important challenge for researchers from the Semantic Web, Web 2.0, social network analysis and machine learning communities. We discuss the Ubiquitous Web vision, by addressing the challenge of bridging the gap between Web 2.0 and the Semantic Web, before widening the scope to mobile applications.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Data Mining on Social Interaction Networks
TL;DR: This work considers social interaction networks from a data mining perspective - also with a special focus on real-world face-to-face contact networks - and presents predictive data mining methods, i.e., for localization, recommendation and link prediction.
52
Data Mining on Social Interaction Networks
TL;DR: In this article, the authors combine data mining and social network analysis techniques for examining the real-world face-to-face contact networks, in order to improve their understanding of the data, the modeled behaviors, and its underlying emergent processes.
51
Urban Planning 3.0: Impact of Recent Developments of the Web on Urban Planning
TL;DR: In this article, the challenges that changing technologies pose to urban planning are discussed and illustrated with a special view to identifying the ways these second and third generations of the Web affect urban planning.
8
Semantic Data Mining in Ubiquitous Sensing: A Survey.
TL;DR: In this paper, the authors survey relevant works in these areas, focusing on semantic data mining approaches and methods, but also on selected applications of ubiquitous sensing in some of the most prominent current application areas.
7
Knowledge extraction using probabilistic reasoning: An artificial neural network approach
Chelsea Dobbins,Paul Fergus +1 more
- 12 Jul 2015
TL;DR: A probabilistic approach to searching RDF documents is presented that converts RDF data into a matrix of features and treats searching as a machine learning problem and demonstrates the applicability of the approach.
References
•Posted Content
What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software
TL;DR: This paper was the first initiative to try to define Web 2.0 and understand its implications for the next generation of software, looking at both design patterns and business modes.
8.5K
Handbook on Ontologies
Steffen Staab,Rudi Studer +1 more
- 12 Aug 2009
TL;DR: The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies considering ontology languages, ontology engineering methods, example ontologies, infrastructures and technologies for ontology, and how to bring this all into ontology-based infrastructureures and applications that are among the best of their kind.
1.5K
Handbook on Ontologies.
Heiner Stuckenschmidt
- 01 Jan 2004
TL;DR: It is explained how terminological ontologies can be used as the basis for developing conceptual ontologies in Handbook of Terminology, Volume 1 (2015) and how this can help develop conceptual ontology in the future.
980
•Book
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Philipp Cimiano
- 12 Oct 2006
TL;DR: Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, aswell as knowledge management, information retrieval, text clustering and classification, as well as natural language processing.
635
•Book Chapter
Research Challenges in Ubiquitous Knowledge Discovery
Michael May,Bettina Berendt,Antoine Cornuéjols,João Gama,Fosca Giannotti,Andreas Hotho,Donato Malerba,Ernestina Menasalvas,Katharina Morik,Rasmus Ulslev Pedersen,Lorenza Saitta,Yucel Saygin,Assaf Schuster,Koen Vanhoof +13 more
- 01 Jan 2008
TL;DR: The main characteristics of the objects of study are defined and a high-level framework for analyzing ubiquitous knowledge discovery systems is introduced, which provides a unifying framework for systematically investigating the mutual dependencies of otherwise quite unrelated technologies employed in building next-generation intelligent systems.
Related Papers (5)
Vladan Devedzic,Dragan Gašević +1 more
- 23 Nov 2009
Nigel Shadbolt,Tim Berners-Lee,James A. Hendler,Claire Hart,Richard Benjamins +4 more
- 23 May 2006
Qi Gao
- 30 May 2010