@proceedings{cellier2014proceedings,, title = {Proceedings of the 1st International Workshop on Interactions between
Data Mining and Natural Language Processing co-located with The European
Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases, DMNLP@PKDD/ECML 2014, Nancy, France, September
15, 2014}, editor = {Cellier, Peggy and Charnois, Thierry and Hotho, Andreas and Matwin, Stan and Moens, Marie-Francine and Toussaint, Yannick}, series = {CEUR Workshop Proceedings}, publisher = {CEUR-WS.org}, year = {2014}, volume = {1202}, url = {http://ceur-ws.org/Vol-1202}, keywords = {2014, data, mining, myown, nlp, workshop} }

%0 = proceedings %B = } %C = %D = 2014 %I = CEUR-WS.org %T = Proceedings of the 1st International Workshop on Interactions between
Data Mining and Natural Language Processing co-located with The European
Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases, DMNLP@PKDD/ECML 2014, Nancy, France, September
15, 2014} %U = http://ceur-ws.org/Vol-1202

@proceedings{jannach2014proceedings,, title = {Proceedings of the 6th Workshop on Recommender Systems and the Social
Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender
Systems (RecSys 2014), Foster City, CA, USA, October 6, 2014}, editor = {Jannach, Dietmar and Freyne, Jill and Geyer, Werner and Guy, Ido and Hotho, Andreas and Mobasher, Bamshad}, series = {CEUR Workshop Proceedings}, publisher = {CEUR-WS.org}, year = {2014}, volume = {1271}, url = {http://ceur-ws.org/Vol-1271}, keywords = {2014, myown, proceedings, recommender, social, workshop} }

%0 = proceedings %B = } %C = %D = 2014 %I = CEUR-WS.org %T = Proceedings of the 6th Workshop on Recommender Systems and the Social
Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender
Systems (RecSys 2014), Foster City, CA, USA, October 6, 2014} %U = http://ceur-ws.org/Vol-1271

@inproceedings{jannach2014sixth, author = {Jannach, Dietmar and Freyne, Jill and Geyer, Werner and Guy, Ido and Hotho, Andreas and Mobasher, Bamshad}, title = {The sixth ACM RecSys workshop on recommender systems and the social
web}, booktitle = {Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014}, year = {2014}, pages = {395}, url = {http://doi.acm.org/10.1145/2645710.2645786}, doi = {10.1145/2645710.2645786}, keywords = {2014, introduction, myown, recommender, social, workshop} }

%0 = inproceedings %A = Jannach, Dietmar and Freyne, Jill and Geyer, Werner and Guy, Ido and Hotho, Andreas and Mobasher, Bamshad %B = Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014 %D = 2014 %T = The sixth ACM RecSys workshop on recommender systems and the social
web %U = http://doi.acm.org/10.1145/2645710.2645786

The 15th ECML PKDD Discovery Challenge centered around the recommendation
f given names. Participants of the challenge implemented algorithms
hat were tested both offline - on data collected by the name search
ngine Nameling - and online within Nameling. Here, we describe both
asks in detail and discuss the publicly available datasets. We motivate
nd explain the chosen evaluation of the challenge, and we summarize
he different approaches applied to the name recommendation tasks.
inally, we present the rankings and winners of the offline and the
nline phase.

@inproceedings{mitzlaff2014summary, author = {Mitzlaff, Folke and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Mueller, Juergen}, title = {Summary of the 15th Discovery Challenge: Recommending Given Names}, booktitle = {15th Discovery Challenge of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013, Prague, Czech Republic - Sctober 27, 2013. Proceedings}, publisher = {CEUR-WS}, address = {Aachen, Germany}, year = {2014}, volume = {1120}, pages = {7--24}, url = {http://ceur-ws.org/Vol-1120/}, keywords = {2014, ECMLPKDD, KDE, RecSys, inproceedings, myown, nameling, summary, workshop}, abstract = {The 15th ECML PKDD Discovery Challenge centered around the recommendation
f given names. Participants of the challenge implemented algorithms
hat were tested both offline - on data collected by the name search
ngine Nameling - and online within Nameling. Here, we describe both
asks in detail and discuss the publicly available datasets. We motivate
nd explain the chosen evaluation of the challenge, and we summarize
he different approaches applied to the name recommendation tasks.
inally, we present the rankings and winners of the offline and the
nline phase.} }

%0 = inproceedings %A = Mitzlaff, Folke and Doerfel, Stephan and Hotho, Andreas and Jäschke, Robert and Mueller, Juergen %B = 15th Discovery Challenge of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013, Prague, Czech Republic - Sctober 27, 2013. Proceedings %C = Aachen, Germany %D = 2014 %I = CEUR-WS %T = Summary of the 15th Discovery Challenge: Recommending Given Names %U = http://ceur-ws.org/Vol-1120/

@book{atzmueller2013ubiquitous,, title = {Ubiquitous Social Media Analysis Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers}, editor = {Atzmueller, Martin and Chin, Alvin and Helic, Denis and Hotho, Andreas}, publisher = {Imprint: Springer}, address = {Berlin, Heidelberg}, year = {2013}, url = {http://link.springer.com/book/10.1007/978-3-642-45392-2}, isbn = {9783642453915 3642453910 9783642453922 3642453929}, keywords = {2013, analysis, bibsonomy, media, myown, postproceedings, social, workshop} }

%0 = book %C = Berlin, Heidelberg %D = 2013 %I = Imprint: Springer %T = Ubiquitous Social Media Analysis Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers %U = http://link.springer.com/book/10.1007/978-3-642-45392-2

An increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data enabling the Internet of Things. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common feed-centric approach limit the flexibility of these platforms. We aim at providing a concept that supports data ranging from text-based formats like JSON to images and video footage. Furthermore, we introduce the concept of extensions, which allows to enrich existing data points with additional information, thus, taking a data point centric approach. This enables us to gain semantic and user specific context by attaching subjective data to objective values. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform.

@inproceedings{becker2013generic, author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd}, title = {A Generic Platform for Ubiquitous and Subjective Data}, booktitle = {1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings}, publisher = {ACM}, address = {New York, NY, USA}, year = {2013}, pages = {1175--1182}, doi = {10.1145/2494091.2499776}, keywords = {2013, EveryAware, inproceedings, iteg, itegpub, l3s, myown, sitc, workshop}, abstract = {An increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data enabling the Internet of Things. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common feed-centric approach limit the flexibility of these platforms. We aim at providing a concept that supports data ranging from text-based formats like JSON to images and video footage. Furthermore, we introduce the concept of extensions, which allows to enrich existing data points with additional information, thus, taking a data point centric approach. This enables us to gain semantic and user specific context by attaching subjective data to objective values. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform.} }

%0 = inproceedings %A = Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd %B = 1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings %C = New York, NY, USA %D = 2013 %I = ACM %T = A Generic Platform for Ubiquitous and Subjective Data

An increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data enabling the Internet of Things. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common feed-centric approach limit the flexibility of these platforms. We aim at providing a concept that supports data ranging from text-based formats like JSON to images and video footage. Furthermore, we introduce the concept of extensions, which allows to enrich existing data points with additional information, thus, taking a data point centric approach. This enables us to gain semantic and user specific context by attaching subjective data to objective values. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform.

@inproceedings{mueller-2013a, author = {Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd}, title = {A Generic Platform for Ubiquitous and Subjective Data}, booktitle = {1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings}, publisher = {ACM}, year = {2013}, pages = {New York, NY, USA}, note = {Accepted for publication}, keywords = {2013, everyaware, myown, platform, workshop}, abstract = {An increasing number of platforms like Xively or ThingSpeak are available to manage ubiquitous sensor data enabling the Internet of Things. Strict data formats allow interoperability and informative visualizations, supporting the development of custom user applications. Yet, these strict data formats as well as the common feed-centric approach limit the flexibility of these platforms. We aim at providing a concept that supports data ranging from text-based formats like JSON to images and video footage. Furthermore, we introduce the concept of extensions, which allows to enrich existing data points with additional information, thus, taking a data point centric approach. This enables us to gain semantic and user specific context by attaching subjective data to objective values. This paper provides an overview of our architecture including concept, implementation details and present applications. We distinguish our approach from several other systems and describe two sensing applications namely AirProbe and WideNoise that were implemented for our platform.} }

%0 = inproceedings %A = Becker, Martin and Mueller, Juergen and Hotho, Andreas and Stumme, Gerd %B = 1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings %D = 2013 %I = ACM %T = A Generic Platform for Ubiquitous and Subjective Data

@proceedings{conf/recsys/2013rsweb,, title = {Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 13, 2013.}, editor = {Mobasher, Bamshad and Jannach, Dietmar and Geyer, Werner and Freyne, Jill and Hotho, Andreas and Anand, Sarabjot Singh and Guy, Ido}, booktitle = {RSWeb@RecSys}, series = {CEUR Workshop Proceedings}, publisher = {CEUR-WS.org}, year = {2013}, volume = {1066}, url = {http://ceur-ws.org/Vol-1066}, keywords = {2013, bibsonomy, l3s, myown, recommender, social, web, workshop} }

%0 = proceedings %B = RSWeb@RecSys} %C = %D = 2013 %I = CEUR-WS.org %T = Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), Hong Kong, China, October 13, 2013.} %U = http://ceur-ws.org/Vol-1066

@book{rothberghofer2013proceedings,, title = {Proceedings of the 2013 International Smart University Workshop (SmartU 2013)}, editor = {Roth-Berghofer, Thomas and Oussena, Samia and Atzmueller, Martin}, publisher = {CONTEXT 2013}, address = {Annecy, France}, year = {2013}, keywords = {2013, iteg, itegpub, l3s, mining, smart, social, ubiquitous, university, workshop} }

%0 = book %C = Annecy, France %D = 2013 %I = CONTEXT 2013 %T = Proceedings of the 2013 International Smart University Workshop (SmartU 2013)

@inproceedings{conf/recsys/MobasherJGH12, author = {Mobasher, Bamshad and Jannach, Dietmar and Geyer, Werner and Hotho, Andreas}, title = {4th ACM RecSys workshop on recommender systems and the social web.}, editor = {Cunningham, Padraig and Hurley, Neil J. and Guy, Ido and Anand, Sarabjot Singh}, booktitle = {RecSys}, publisher = {ACM}, year = {2012}, pages = {345-346}, url = {http://dblp.uni-trier.de/db/conf/recsys/recsys2012.html#MobasherJGH12}, isbn = {978-1-4503-1270-7}, keywords = {2012, myown, recommender, workshop} }

%0 = inproceedings %A = Mobasher, Bamshad and Jannach, Dietmar and Geyer, Werner and Hotho, Andreas %B = RecSys %D = 2012 %I = ACM %T = 4th ACM RecSys workshop on recommender systems and the social web. %U = http://dblp.uni-trier.de/db/conf/recsys/recsys2012.html#MobasherJGH12

The new opportunities for applying recommendation techniques within Social Web platforms and applications as well as the various new sources of information which have become available in the Web 2.0 and can be incorporated in future recommender applications are a strong driving factor in current recommender system research for various reasons:</p> <p>(1) Social systems by their definition encourage interaction between users and both online content and other users, thus generating new sources of knowledge for recommender systems. Web 2.0 users explicitly provide personal information and implicitly express preferences through their interactions with others and the system (e.g. commenting, friending, rating, etc.). These various new sources of knowledge can be leveraged to improve recommendation techniques and develop new strategies which focus on social recommendation.</p> <p>(2) New application areas for recommender systems emerge with the popularity of the Social Web. Recommenders cannot only be used to sort and filter Web 2.0 and social network information, they can also support users in the information sharing process, e.g., by recommending suitable tags during folksonomy development.</p> <p>(3) Recommender technology can assist Social Web systems through increasing adoption and participation and sustaining membership. Through targeted and timely intervention which stimulates traffic and interaction, recommender technology can play its role in sustaining the success of the Social Web.</p> <p>(4) The Social Web also presents new challenges for recommender systems, such as the complicated nature of human-to-human interaction which comes into play when recommending people and can require more interactive and richer recommender systems user interfaces.</p> <p>The technical papers appearing in these proceedings aim to explore and understand challenges and new opportunities for recommender systems in the Social Web and were selected in a formal review process by an international program committee.</p> <p>Overall, we received 13 paper submissions from 12 different countries, out of which 7 long papers and 1 short paper were selected for presentation and inclusion in the proceedings. The submitted papers addressed a variety of topics related to Social Web recommender systems from the use of microblogging data for personalization over new tag recommendation approaches to social media-based personalization of news.

@proceedings{Mobasher:2012:2365934, author = {Mobasher, Bamshad and Jannach, Dietmar and Geyer, Werner and Hotho, Andreas}, title = {RSWeb '12: Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web}, publisher = {ACM}, address = {New York, NY, USA}, year = {2012}, note = {609126}, isbn = {978-1-4503-1638-5}, keywords = {2012, acm, myown, recommender, rsweb, social, web, workshop}, abstract = {The new opportunities for applying recommendation techniques within Social Web platforms and applications as well as the various new sources of information which have become available in the Web 2.0 and can be incorporated in future recommender applications are a strong driving factor in current recommender system research for various reasons:</p> <p>(1) Social systems by their definition encourage interaction between users and both online content and other users, thus generating new sources of knowledge for recommender systems. Web 2.0 users explicitly provide personal information and implicitly express preferences through their interactions with others and the system (e.g. commenting, friending, rating, etc.). These various new sources of knowledge can be leveraged to improve recommendation techniques and develop new strategies which focus on social recommendation.</p> <p>(2) New application areas for recommender systems emerge with the popularity of the Social Web. Recommenders cannot only be used to sort and filter Web 2.0 and social network information, they can also support users in the information sharing process, e.g., by recommending suitable tags during folksonomy development.</p> <p>(3) Recommender technology can assist Social Web systems through increasing adoption and participation and sustaining membership. Through targeted and timely intervention which stimulates traffic and interaction, recommender technology can play its role in sustaining the success of the Social Web.</p> <p>(4) The Social Web also presents new challenges for recommender systems, such as the complicated nature of human-to-human interaction which comes into play when recommending people and can require more interactive and richer recommender systems user interfaces.</p> <p>The technical papers appearing in these proceedings aim to explore and understand challenges and new opportunities for recommender systems in the Social Web and were selected in a formal review process by an international program committee.</p> <p>Overall, we received 13 paper submissions from 12 different countries, out of which 7 long papers and 1 short paper were selected for presentation and inclusion in the proceedings. The submitted papers addressed a variety of topics related to Social Web recommender systems from the use of microblogging data for personalization over new tag recommendation approaches to social media-based personalization of news.} }

%0 = proceedings %A = Mobasher, Bamshad and Jannach, Dietmar and Geyer, Werner and Hotho, Andreas %B = } %C = New York, NY, USA %D = 2012 %I = ACM %T = RSWeb '12: Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web} %U =

@book{AH:11,, title = {Proceedings of the 2011 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2011)}, editor = {Atzmueller, Martin and Hotho, Andreas}, publisher = {ECML/PKDD 2011}, address = {Athens, Greece}, year = {2011}, keywords = {2011, itegpub, mining, muse, myown, social, ubiquitous, workshop} }

%0 = book %C = Athens, Greece %D = 2011 %I = ECML/PKDD 2011 %T = Proceedings of the 2011 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2011)

The exponential growth of the social web poses challenges and new opportunities for recommender systems. The social web has turned information consumers into active contributors creating massive amounts of information. Finding relevant and interesting content at the right time and in the right context is challenging for existing recommender approaches. At the same time, social systems by their definition encourage interaction between users and both online content and other users, thus generating new sources of knowledge for recommender systems. Web 2.0 users explicitly provide personal information and implicitly express preferences through their interactions with others and the system (e.g. commenting, friending, rating, etc.). These various new sources of knowledge can be leveraged to improve recommendation techniques and develop new strategies which focus on social recommendation. The Social Web provides huge opportunities for recommender technology and in turn recommender technologies can play a part in fuelling the success of the Social Web phenomenon.</p> <p>The goal of this one day workshop was to bring together researchers and practitioners to explore, discuss, and understand challenges and new opportunities for Recommender Systems and the Social Web. The workshop consisted both of technical sessions, in which selected participants presented their results or ongoing research, as well as informal breakout sessions on more focused topics.</p> <p>Papers discussing various aspects of recommender system in the Social Web were submitted and selected for presentation and discussion in the workshop in a formal reviewing process: Case studies and novel fielded social recommender applications; Economy of community-based systems: Using recommenders to encourage users to contribute and sustain participation.; Social network and folksonomy development: Recommending friends, tags, bookmarks, blogs, music, communities etc.; Recommender systems mash-ups, Web 2.0 user interfaces, rich media recommender systems; Collaborative knowledge authoring, collective intelligence; Recommender applications involving users or groups directly in the recommendation process; Exploiting folksonomies, social network information, interaction, user context and communities or groups for recommendations; Trust and reputation aware social recommendations; Semantic Web recommender systems, use of ontologies or microformats; Empirical evaluation of social recommender techniques, success and failure measures</p> <p>Full workshop details are available at http://www.dcs.warwick.ac.uk/~ssanand/RSWeb11/index.htm

@inproceedings{Freyne:2011:WRS:2043932.2044014, author = {Freyne, Jill and Anand, Sarabjot Singh and Guy, Ido and Hotho, Andreas}, title = {3rd workshop on recommender systems and the social web}, booktitle = {Proceedings of the fifth ACM conference on Recommender systems}, series = {RecSys '11}, publisher = {ACM}, address = {New York, NY, USA}, year = {2011}, pages = {383--384}, url = {http://doi.acm.org/10.1145/2043932.2044014}, doi = {10.1145/2043932.2044014}, isbn = {978-1-4503-0683-6}, keywords = {2011, cochair, myown, recommender, social, systems, workshop}, abstract = {The exponential growth of the social web poses challenges and new opportunities for recommender systems. The social web has turned information consumers into active contributors creating massive amounts of information. Finding relevant and interesting content at the right time and in the right context is challenging for existing recommender approaches. At the same time, social systems by their definition encourage interaction between users and both online content and other users, thus generating new sources of knowledge for recommender systems. Web 2.0 users explicitly provide personal information and implicitly express preferences through their interactions with others and the system (e.g. commenting, friending, rating, etc.). These various new sources of knowledge can be leveraged to improve recommendation techniques and develop new strategies which focus on social recommendation. The Social Web provides huge opportunities for recommender technology and in turn recommender technologies can play a part in fuelling the success of the Social Web phenomenon.</p> <p>The goal of this one day workshop was to bring together researchers and practitioners to explore, discuss, and understand challenges and new opportunities for Recommender Systems and the Social Web. The workshop consisted both of technical sessions, in which selected participants presented their results or ongoing research, as well as informal breakout sessions on more focused topics.</p> <p>Papers discussing various aspects of recommender system in the Social Web were submitted and selected for presentation and discussion in the workshop in a formal reviewing process: Case studies and novel fielded social recommender applications; Economy of community-based systems: Using recommenders to encourage users to contribute and sustain participation.; Social network and folksonomy development: Recommending friends, tags, bookmarks, blogs, music, communities etc.; Recommender systems mash-ups, Web 2.0 user interfaces, rich media recommender systems; Collaborative knowledge authoring, collective intelligence; Recommender applications involving users or groups directly in the recommendation process; Exploiting folksonomies, social network information, interaction, user context and communities or groups for recommendations; Trust and reputation aware social recommendations; Semantic Web recommender systems, use of ontologies or microformats; Empirical evaluation of social recommender techniques, success and failure measures</p> <p>Full workshop details are available at http://www.dcs.warwick.ac.uk/~ssanand/RSWeb11/index.htm} }

%0 = inproceedings %A = Freyne, Jill and Anand, Sarabjot Singh and Guy, Ido and Hotho, Andreas %B = Proceedings of the fifth ACM conference on Recommender systems %C = New York, NY, USA %D = 2011 %I = ACM %T = 3rd workshop on recommender systems and the social web %U = http://doi.acm.org/10.1145/2043932.2044014

@book{AH:10,, title = {Proceedings of the 2010 Workshop on Mining Ubiquitous and Social Environments (MUSE 2010)}, editor = {Atzmueller, Martin and Hotho, Andreas}, publisher = {ECML/PKDD 2010}, address = {Barcelona, Spain}, year = {2010}, keywords = {2010, data, discovery, itegpub, knowledge, mining, muse, myown, social, ubiquitous, workshop} }

%0 = book %C = Barcelona, Spain %D = 2010 %I = ECML/PKDD 2010 %T = Proceedings of the 2010 Workshop on Mining Ubiquitous and Social Environments (MUSE 2010)

@inproceedings{benz2009characterizing, author = {Benz, Dominik and Krause, Beate and Kumar, G. Praveen and Hotho, Andreas and Stumme, Gerd}, title = {Characterizing Semantic Relatedness of Search Query Terms}, booktitle = {Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009)}, address = {Bled, Slovenia}, year = {2009}, url = {http://www.kde.cs.uni-kassel.de/pub/pdf/benz2009characterizing.pdf}, keywords = {2009, ecml_pkdd, ein, itegpub, logsonomies, myown, ol_web2.0, similarity_measures, widely_related, workshop} }

%0 = inproceedings %A = Benz, Dominik and Krause, Beate and Kumar, G. Praveen and Hotho, Andreas and Stumme, Gerd %B = Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009) %C = Bled, Slovenia %D = 2009 %T = Characterizing Semantic Relatedness of Search Query Terms %U = http://www.kde.cs.uni-kassel.de/pub/pdf/benz2009characterizing.pdf

@proceedings{berendt05european,, title = {Proc. of the European Web Mining Forum 2005}, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and Semerano, Giovanni and Spiliopoulou, Myra and Stumme, Gerd and van Someren, Maarten}, year = {2005}, url = {http://www.kde.cs.uni-kassel.de/ws/ewmf05}, keywords = {2005, ecml, european, ewmf, forum, itegpub, l3s, mining, myown, pkdd, proceedings, web, workshop} }

%0 = proceedings %B = } %C = %D = 2005 %I = %T = Proc. of the European Web Mining Forum 2005} %U = http://www.kde.cs.uni-kassel.de/ws/ewmf05

@proceedings{stumme05semanticnetworkanalysis,, title = {Proceedings of the First Workshop on Semantic Network Analysis }, editor = {Stumme, Gerd and Hoser, Bettina and Schmitz, Christoph and Alani, Harith}, publisher = {CEUR Proceedings}, address = {Aachen}, year = {2005}, url = {http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-171/}, issn = {1613-0073}, keywords = {2005, analysis, iswc, itegpub, l3s, myown, nepomuk, network, proceedings, semantic, semna, sna, workshop} }

%0 = proceedings %B = } %C = Aachen %D = 2005 %I = CEUR Proceedings %T = Proceedings of the First Workshop on Semantic Network Analysis } %U = http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-171/

The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science.

@inproceedings{berendt2004roadmap, author = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd}, title = {A Roadmap for Web Mining: From Web to Semantic Web.}, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd}, booktitle = {Web Mining: From Web to Semantic Web}, publisher = {Springer}, address = {Heidelberg}, year = {2004}, volume = {3209}, pages = {1-22}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf}, keywords = {2004, ecml, ewmf, itegpub, l3s, mining, myown, pkdd, proceedings, roadmap, semantic, web, workshop}, abstract = {The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science.} }

%0 = inproceedings %A = Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd %B = Web Mining: From Web to Semantic Web %C = Heidelberg %D = 2004 %I = Springer %T = A Roadmap for Web Mining: From Web to Semantic Web. %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf

@proceedings{berendt2004web,, title = {Web Mining: From Web to Semantic Web, First European Web
Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September
22, 2003, Revised Selected and Invited Papers}, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd}, series = {LNAI}, publisher = {Springer}, address = {Heidelberg}, year = {2004}, volume = {3209}, note = {http://km.aifb.uni-karlsruhe.de/ws/ewmf03/}, url = {http://springerlink.metapress.com/content/unvvag26dttf/}, isbn = {3-540-23258-3}, keywords = {2004, ecml, itegpub, l3s, mining, myown, pkdd, proceedings, semantic, web, workshop} }

%0 = proceedings %B = } %C = Heidelberg %D = 2004 %I = Springer %T = Web Mining: From Web to Semantic Web, First European Web
Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September
22, 2003, Revised Selected and Invited Papers} %U = http://springerlink.metapress.com/content/unvvag26dttf/

@proceedings{maedche02information,, title = {Information Integration and Mining in Databases and on the Web. Proceedings of the 2nd International Workshop on Databases, Documents, and Information Fusion (DBFusion 2002)}, editor = {Maedche, Alexander and Sattler, Kai-Uwe and Stumme, Gerd}, series = {CEUR Workshop Proceedings}, journal = {CEUR-WS}, address = {Aachen}, year = {2004}, volume = {124}, url = {http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-124/}, keywords = {2004, databases, dbfusion, fusion, information, integration, itegpub, l3s, myown, proceedings, web, workshop} }

%0 = proceedings %B = } %C = Aachen %D = 2004 %I = %T = Information Integration and Mining in Databases and on the Web. Proceedings of the 2nd International Workshop on Databases, Documents, and Information Fusion (DBFusion 2002)} %U = http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-124/