Now showing items 1-8 of 8
inContext: A Pervasive and Collaborative Working Environment for Emerging Team Forms
Participants in current team collaborations belong to different organizations, work on multiple objectives at the same time, and frequently change locations. They use different devices and infrastructures in collaboration ...
Microblogging: A Semantic Web and Distributed Approach
While microblogging has quickly gained a lot of interest in the Web 2.0 community, it still has not been leveraged to the Semantic Web unlike blogs and wikis. This paper describes the features, methods and architecture of ...
Data and Process Mediation Support for B2B Integration
In this paper we present how Semantic Web Service technology can be used to overcome process and data heterogeneity in a B2B integration scenario. While one partner uses standards like RosettaNet for product purchase and ...
Processing ontology alignments with SPARQL
(IEEE Computer Society, 2008)
Anatomy of a Semantic Virus
In this position paper, I discuss a piece of malicious automated software that can be used by an individual or a group of users for submitting valid random noisy RDF-based data based on predefined schemas/ontologies to ...
Relaxing the Basic KR&R Principles to Meet the Emergent Semantic Web
The paper argues for an alternative, empirical (instead of analytical) approach to a Semantic Web-ready KR&R, motivated by the so far largely untackled need for a feasible emergent content processing.
Social Networks and Data Portability using Semantic Web technologies
Social network and data portability has recently gained a lot of interest as one of the issues for social media sites on the Web. In this paper, we will show how Semantic Web technologies and especially the FOAF and ...
EUREEKA: Deepening the Semantic Web by More Efficient Emergent Knowledge Representation and Processing
One of the major Semantic Web challenges is the knowledge acquisition bottleneck. New content on the web is produced much faster than the respective machine readable annotations, while a scalable knowledge extraction ...