%0 Book Section %1 scholz2014mining %A Scholz, Christoph %A Macek, Bjoern-Elmar %A Atzmueller, Martin %A Doerfel, Stephan %A Stumme, Gerd %B Socio-technical Design of Ubiquitous Computing Systems %D 2014 %E David, Klaus %E Geihs, Kurt %E Leimeister, Jan Marco %E Roßnagel, Alexander %E Schmidt, Ludger %E Stumme, Gerd %E Wacker, Arno %I Springer International Publishing %K 2014 book localization myown sdomyown social ubicon venus link prediction %P 109-129 %R 10.1007/978-3-319-05044-7_7 %T Mining Social Links for Ubiquitous Knowledge Engineering %U http://dx.doi.org/10.1007/978-3-319-05044-7_7 %X Exploiting social links is an important issue for enhancing ubiquitous knowledge engineering because they are a substitute for a wide range of properties depending on which relation spans the link: in case of human face-to-face contacts, similar locations or potential knowledge transfer for the people in contact can be derived. This information can be used to improve the quality of ubiquitous services as localization or recommendation systems. We capture this information by deploying active RFID setups at a variety of contexts. In this chapter, we focus especially on working groups and conferences and discuss and evaluate the achieved improvements using the gathered data. %@ 978-3-319-05043-0

@incollection{scholz2014mining, abstract = {Exploiting social links is an important issue for enhancing ubiquitous knowledge engineering because they are a substitute for a wide range of properties depending on which relation spans the link: in case of human face-to-face contacts, similar locations or potential knowledge transfer for the people in contact can be derived. This information can be used to improve the quality of ubiquitous services as localization or recommendation systems. We capture this information by deploying active RFID setups at a variety of contexts. In this chapter, we focus especially on working groups and conferences and discuss and evaluate the achieved improvements using the gathered data.}, added-at = {2015-10-08T09:38:33.000+0200}, author = {Scholz, Christoph and Macek, Bjoern-Elmar and Atzmueller, Martin and Doerfel, Stephan and Stumme, Gerd}, biburl = {https://www.bibsonomy.org/bibtex/29f18259717ccfc3c46a062950112f4d2/kde-alumni}, booktitle = {Socio-technical Design of Ubiquitous Computing Systems}, description = {Mining Social Links for Ubiquitous Knowledge Engineering - Springer}, doi = {10.1007/978-3-319-05044-7_7}, editor = {David, Klaus and Geihs, Kurt and Leimeister, Jan Marco and Roßnagel, Alexander and Schmidt, Ludger and Stumme, Gerd and Wacker, Arno}, interhash = {530ce0d71bc54eb7faea4fad8f4f8a4d}, intrahash = {9f18259717ccfc3c46a062950112f4d2}, isbn = {978-3-319-05043-0}, keywords = {2014 book localization myown sdomyown social ubicon venus link prediction}, language = {English}, pages = {109-129}, publisher = {Springer International Publishing}, timestamp = {2016-11-29T17:46:26.000+0100}, title = {Mining Social Links for Ubiquitous Knowledge Engineering}, url = {http://dx.doi.org/10.1007/978-3-319-05044-7_7}, year = 2014 }