@inproceedings{hotho2006trend, abstract = {As the number of resources on the web exceeds by far the number ofdocuments one can track, it becomes increasingly difficult to remainup to date on ones own areas of interest. The problem becomes moresevere with the increasing fraction of multimedia data, from whichit is difficult to extract some conceptual description of theircontents.One way to overcome this problem are social bookmark tools, whichare rapidly emerging on the web. In such systems, users are settingup lightweight conceptual structures called folksonomies, andovercome thus the knowledge acquisition bottleneck. As more and morepeople participate in the effort, the use of a common vocabularybecomes more and more stable. We present an approach for discoveringtopic-specific trends within folksonomies. It is based on adifferential adaptation of the PageRank algorithm to the triadichypergraph structure of a folksonomy. The approach allows for anykind of data, as it does not rely on the internal structure of thedocuments. In particular, this allows to consider different datatypes in the same analysis step. We run experiments on a large-scalereal-world snapshot of a social bookmarking system.}, address = {Heidelberg}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proc. First International Conference on Semantics And Digital Media Technology (SAMT) }, editor = {Avrithis, Yannis S. and Kompatsiaris, Yiannis and Staab, Steffen and O'Connor, Noel E.}, ee = {http://dx.doi.org/10.1007/11930334_5}, interhash = {227be738c5cea57530d592463fd09abd}, intrahash = {42cda5911e901eadd0ac6a106a6aa1dc}, isbn = {3-540-49335-2}, month = {December}, pages = {56-70}, publisher = {Springer}, series = {LNCS}, title = {Trend Detection in Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006trend.pdf}, vgwort = {27}, volume = 4306, year = 2006 } @inproceedings{hotho2006trend, abstract = {As the number of resources on the web exceeds by far the number ofdocuments one can track, it becomes increasingly difficult to remainup to date on ones own areas of interest. The problem becomes moresevere with the increasing fraction of multimedia data, from whichit is difficult to extract some conceptual description of theircontents.One way to overcome this problem are social bookmark tools, whichare rapidly emerging on the web. In such systems, users are settingup lightweight conceptual structures called folksonomies, andovercome thus the knowledge acquisition bottleneck. As more and morepeople participate in the effort, the use of a common vocabularybecomes more and more stable. We present an approach for discoveringtopic-specific trends within folksonomies. It is based on adifferential adaptation of the PageRank algorithm to the triadichypergraph structure of a folksonomy. The approach allows for anykind of data, as it does not rely on the internal structure of thedocuments. In particular, this allows to consider different datatypes in the same analysis step. We run experiments on a large-scalereal-world snapshot of a social bookmarking system.}, address = {Heidelberg}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proc. First International Conference on Semantics And Digital Media Technology (SAMT) }, date = {2006-12-13}, editor = {Avrithis, Yannis S. and Kompatsiaris, Yiannis and Staab, Steffen and O'Connor, Noel E.}, ee = {http://dx.doi.org/10.1007/11930334_5}, interhash = {227be738c5cea57530d592463fd09abd}, intrahash = {42cda5911e901eadd0ac6a106a6aa1dc}, isbn = {3-540-49335-2}, month = {December}, pages = {56-70}, publisher = {Springer}, series = {LNCS}, title = {Trend Detection in Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006trend.pdf}, vgwort = {27}, volume = 4306, year = 2006 } @inproceedings{amitay2009social, abstract = {This research explores new ways to augment the search and discovery of relations between Web 2.0 entities using multiple types and sources of social information. Our goal is to allow the search for all object types such as documents, persons and tags, while retrieving related objects of all types. We implemented a social-search engine using a unified approach, where the search space is expanded to represent heterogeneous information objects that are interrelated by several relation types. Our solution is based on multifaceted search, which provides an efficient update mechanism for relations between objects, as well as efficient search over the heterogeneous data. We describe a social search engine positioned within a large enterprise, applied over social data gathered from several Web 2.0 applications. We conducted a large user study with over 600 people to evaluate the contribution of social data for search. Our results demonstrate the high precision of social search results and confirm the strong relationship of users and tags to the topics retrieved.}, address = {New York, NY, USA}, author = {Amitay, Einat and Carmel, David and Hare'l, Nadav and Ofek-Koifman, Shila and Soffer, Aya and Yogev, Sivan and Golbandi, Nadav}, booktitle = {HT '09: Proceedings of the Twentieth ACM Conference on Hypertext and Hypermedia}, interhash = {281a60dff0722e89bd0de3abe2e44545}, intrahash = {5f616365d0576f71e6e9225628acf57b}, month = {July}, paperid = {fp020}, publisher = {ACM}, session = {Full Paper}, title = {Social Search and Discovery Using a Unified Approach}, year = 2009 } @book{Peter.1999, address = {Bern}, author = {Peter, K. Marc}, edition = {1. Aufl.}, interhash = {4a4c91b431e3f4a1bebafdc155542c3f}, intrahash = {be7a27ac7f17dded8b8f0d51e50fb34c}, isbn = {3905318083}, price = {DM 19.80}, publisher = {Crusius}, title = {Internet-Projekte: Ein Leitfaden für das Projekt-Management von Internet-/Intranet-Auftritten}, year = 1999 } @inproceedings{millen06dogear, address = {New York, NY, USA}, author = {Millen, David R. and Feinberg, Jonathan and Kerr, Bernard}, booktitle = {CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems}, doi = {http://doi.acm.org/10.1145/1124772.1124792}, interhash = {16ee775e6e4149fdabe2386e79340ca2}, intrahash = {8e8bbf1e7a51b4b1b3852d443f3400c6}, isbn = {1-59593-372-7}, location = {Montr\&\#233;al, Qu\&\#233;bec, Canada}, pages = {111--120}, publisher = {ACM Press}, title = {Dogear: Social bookmarking in the enterprise}, year = 2006 } @incollection{Bu05a, abstract = {}, address = {http://thecommunityengine.com/home/archives/2005/03/ibms_intranet_a.html}, author = {Bud}, booktitle = {The Community Engine}, chapter = {}, edition = {}, editor = {}, interhash = {9a6e8b14d60c68229b57e0d297413b40}, intrahash = {7a98166fa9af48ee721a7f11c2c40acc}, month = {March}, note = {}, number = {}, pages = {}, publisher = {}, series = {}, title = {IBM's Intranet and Folksonomy}, type = {}, volume = {}, year = 2005 } @mastersthesis{rezane2006bibsonomy, address = {Kassel}, author = {Rezane, Serak}, interhash = {df466f1e6a8ca59ce61280cb6fdfb938}, intrahash = {d85b0335a1b90d2c4025d3aff0e30c50}, school = {University of Kassel}, title = {Folksonomies in Intranets}, type = {Bachelor Thesis}, year = 2006 } @inproceedings{Kiesel:2006:Kaukolu, abstract = {Due to their low entry barrier, easy deployment, and simple yet powerful features, wikis have gained popularity for agile knowledge management in communities of almost all sizes. Semantic wikis strive to give entered information more structure in order to allow automatic processing of the wiki’s contents. This facilitates enhanced navigation and search in the wiki itself as well as simple reuse of information in external applications or for generating different views on the same information. This makes semantic wikis especially interesting for corporate intranet deployment, implementing the Semantic Intranet. In this paper, we will have a look at Kaukolu, an open source semantic wiki prototype, being deployed in a corporate intranet. External applications use information authored in Kaukolu, effectively forming a cluster of applications interacting and sharing data.}, author = {Kiesel, Malte}, booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics}, comment = {Best Short Paper at the Workshop}, crossref = {SemWiki2006-proceedings}, editor = {V\"{o}lkel, Max and Schaffert, Sebastian}, interhash = {f01e0a7a8b9797f4fe0f0e619cd7bfb9}, intrahash = {443c11410edcad7d143bdf62e953701b}, month = {June}, organization = {DFKI}, owner = {voelkel}, pdf = {http://www.dfki.uni-kl.de/~kiesel/2006-06-12-Kaukolu-SemWikiESWC2006.pdf}, publisher = {ESWC2006}, series = {Workshop on Semantic Wikis}, timestamp = {2006.06.14}, title = {Kaukolu: Hub of the Semantic Corporate Intranet}, url = {http://semwiki.org/semwiki2006}, year = 2006 } @inproceedings{hotho2006trend, abstract = {As the number of resources on the web exceeds by far the number of documents one can track, it becomes increasingly difficult to remain up to date on ones own areas of interest. The problem becomes more severe with the increasing fraction of multimedia data, from which it is difficult to extract some conceptual description of their contents. One way to overcome this problem are social bookmark tools, which are rapidly emerging on the web. In such systems, users are setting up lightweight conceptual structures called folksonomies, and overcome thus the knowledge acquisition bottleneck. As more and more people participate in the effort, the use of a common vocabulary becomes more and more stable. We present an approach for discovering topic-specific trends within folksonomies. It is based on a differential adaptation of the PageRank algorithm to the triadic hypergraph structure of a folksonomy. The approach allows for any kind of data, as it does not rely on the internal structure of the documents. In particular, this allows to consider different data types in the same analysis step. We run experiments on a large-scale real-world snapshot of a social bookmarking system.}, address = {Heidelberg}, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, booktitle = {Proc. First International Conference on Semantics And Digital Media Technology (SAMT) }, date = {2006-12-13}, editor = {Avrithis, Yannis S. and Kompatsiaris, Yiannis and Staab, Steffen and O'Connor, Noel E.}, ee = {http://dx.doi.org/10.1007/11930334_5}, interhash = {227be738c5cea57530d592463fd09abd}, intrahash = {42cda5911e901eadd0ac6a106a6aa1dc}, isbn = {3-540-49335-2}, month = dec, pages = {56-70}, publisher = {Springer}, series = {LNCS}, title = {Trend Detection in Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006trend.pdf}, vgwort = {27}, volume = 4306, year = 2006 } @inproceedings{1124792, address = {New York, NY, USA}, author = {Millen, David R. and Feinberg, Jonathan and Kerr, Bernard}, booktitle = {CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems}, doi = {http://doi.acm.org/10.1145/1124772.1124792}, interhash = {16ee775e6e4149fdabe2386e79340ca2}, intrahash = {8e8bbf1e7a51b4b1b3852d443f3400c6}, isbn = {1-59593-372-7}, location = {Montr\&\#233;al, Qu\&\#233;bec, Canada}, pages = {111--120}, publisher = {ACM Press}, title = {Dogear: Social bookmarking in the enterprise}, year = 2006 } @article{citeulike:452911, address = {New York, NY, USA}, author = {Millen, David and Feinberg, Jonathan and Kerr, Bernard}, citeulike-article-id = {452911}, doi = {10.1145/1105664.1105676}, interhash = {b40410a542f48202c52b6fa9408bca79}, intrahash = {3e0eb3ac3d69194363eae0b4e1b6461d}, issn = {1542-7730}, journal = {Queue}, month = {November}, number = 9, pages = {28--35}, priority = {2}, publisher = {ACM Press}, title = {Social bookmarking in the enterprise}, url = {http://dx.doi.org/10.1145/1105664.1105676}, volume = 3, year = 2005 }