TY - JOUR AU - Atzmueller, Martin AU - Becker, Martin AU - Kibanov, Mark AU - Scholz, Christoph AU - Doerfel, Stephan AU - Hotho, Andreas AU - Macek, Bjoern-Elmar AU - Mitzlaff, Folke AU - Mueller, Juergen AU - Stumme, Gerd T1 - Ubicon and its Applications for Ubiquitous Social Computing JO - New Review of Hypermedia and Multimedia PY - 2014/03 VL - 1 IS - 20 SP - 53 EP - 77 UR - http://dx.doi.org/10.1080/13614568.2013.873488 DO - 10.1080/13614568.2013.873488 KW - 2014 KW - applications KW - computing KW - myown KW - social KW - ubicon KW - ubiquitous L1 - SN - N1 - N1 - AB - The combination of ubiquitous and social computing is an emerging

research area which integrates different but complementary methods,

techniques and tools. In this paper, we focus on the Ubicon platform,

its applications, and a large spectrum of analysis results.

Ubicon provides an extensible framework for building and hosting applications

targeting both ubiquitous and social environments. We summarize the

architecture and exemplify its implementation using four real-world

applications built on top of Ubicon. In addition, we discuss several

scientific experiments in the context of these applications in order

to give a better picture of the potential of the framework, and discuss

analysis results using several real-world data sets collected utilizing

Ubicon. ER - TY - CONF AU - Jäschke, Robert AU - Rudolph, Sebastian A2 - Cellier, Peggy A2 - Distel, Felix A2 - Ganter, Bernhard T1 - Attribute Exploration on the Web T2 - Contributions to the 11th International Conference on Formal Concept Analysis PB - C1 - PY - 2013/05 CY - VL - IS - SP - 19 EP - 34 UR - http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133 DO - KW - 2013 KW - acquisition KW - analysis KW - attribute KW - computing KW - concept KW - crowdsourcing KW - data KW - exploration KW - fca KW - formal KW - human KW - information KW - ir KW - iteg KW - knowledge KW - l3s KW - linked KW - lod KW - open KW - retrieval KW - search KW - sparql KW - web L1 - SN - N1 - N1 - AB - We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted. ER -