Journal articles
Collaborative Tagging as a Knowledge Organisation and Resource Discovery Tool.
Library Review, 55(5), in press.
George Macgregor and Emma McCulloch.
[doi]
[BibTeX]
Conference articles
Visualizing Tags over Time.
In:
Proceedings of the 15th International WWW Conference.
2006.
M. Dubinko, R. Kumar, J. Magnani, J. Novak, P. Raghavan and A. Tomkins.
[BibTeX]
Information Retrieval in Folksonomies: Search and Ranking.
In: Y. Sure and J. Domingue, editors,
The Semantic Web: Research and Applications, volume 4011, series Lecture Notes in Computer Science, pages 411-426.
Springer, Heidelberg, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[pdf]
[abstract]
[BibTeX]
Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies,called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to findcommunities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.
Information Retrieval in Folksonomies: Search and Ranking.
In:
Proceedings of the 3rd European Semantic Web Conference, series Lecture Notes in Computer Science, pages 411-426.
Springer, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[BibTeX]
Information Retrieval in Folksonomies: Search and Ranking.
In:
Proceedings of the 3rd European Semantic Web Conference , volume 4011, series LNCS, pages 411-426.
Springer, Budva, Montenegro, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[BibTeX]
Information Retrieval in Folksonomies: Search and Ranking.
In: Y. Sure and J. Domingue, editors,
The Semantic Web: Research and Applications, volume 4011, series Lecture Notes in Computer Science, pages 411-426.
Springer, Heidelberg, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[abstract]
[BibTeX]
Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.
Content Aggregation on Knowledge Bases using Graph Clustering.
In: Y. Sure and J. Domingue, editors,
The Semantic Web: Research and Applications, volume 4011, series LNAI, pages 530-544.
Springer, Heidelberg, 2006.
Christoph Schmitz, Andreas Hotho, Robert Jäschke and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Recently, research projects such as PADLR and SWAP
have developed tools like Edutella or Bibster, which are targeted at
establishing peer-to-peer knowledge management (P2PKM) systems. In
such a system, it is necessary to obtain provide brief semantic
descriptions of peers, so that routing algorithms or matchmaking
processes can make decisions about which communities peers should
belong to, or to which peers a given query should be forwarded.
This paper provides a graph clustering technique on
knowledge bases for that purpose. Using this clustering, we can show
that our strategy requires up to 58% fewer queries than the
baselines to yield full recall in a bibliographic P2PKM scenario.
Content Aggregation on Knowledge Bases using Graph Clustering.
In: Y. Sure and J. Domingue, editors,
The Semantic Web: Research and Applications, volume 4011, series LNAI, pages 530-544.
Springer, Heidelberg, 2006.
Christoph Schmitz, Andreas Hotho, Robert Jäschke and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Recently, research projects such as PADLR and SWAP have developed tools like Edutella or Bibster, which are targeted at establishing peer-to-peer knowledge management (P2PKM) systems. In such a system, it is necessary to obtain provide brief semantic descriptions of peers, so that routing algorithms or matchmaking processes can make decisions about which communities peers should belong to, or to which peers a given query should be forwarded. This paper provides a graph clustering technique on knowledge bases for that purpose. Using this clustering, we can show that our strategy requires up to 58% fewer queries than the baselines to yield full recall in a bibliographic P2PKM scenario.
Mining Association Rules in Folksonomies.
In: V. Batagelj, H.-H. Bock, A. Ferligoj and A. Žiberna, editors,
Data Science and Classification (Proc. IFCS 2006 Conference), series Studies in Classification, Data Analysis, and Knowledge Organization, pages 261-270.
Springer, Berlin/Heidelberg, 2006.
Ljubljana
Christoph Schmitz, Andreas Hotho, Robert Jäschke and Gerd Stumme.
[doi]
[BibTeX]
Miscellaneous
REST - REpresentational State Transfer.
2005?.
Michael Przybilski.
[doi]
[BibTeX]
The Structure of Collaborative Tagging Systems.
2005.
Scott Golder and Bernardo A. Huberman.
[doi]
[BibTeX]
Conference articles
The Social Semantics of LiveJournal FOAF: Structure and Change from 2004 to 2005.
In: G. Stumme, B. Hoser, C. Schmitz and H. Alani, editors,
Proceedings of the 1st Workshop on Semantic Network Analysis at the ISWC 2005 Conference, pages 69 - 80.
2005.
John C. Paolillo, Sarah Mercure and Elijah Wright.
[BibTeX]
Overview and Outlook on the Semantic Desktop.
In: S. Decker, J. Park, D. Quan and L. Sauermann, editors,
Proceedings of the 1st Workshop on The Semantic Desktop at the ISWC 2005 Conference, volume 175, series CEUR-WS.org, pages 1 - 18.
CEUR-WS, 2005.
Leo Sauermann, Ansgar Bernardi and Andreas Dengel.
[doi]
[abstract]
[BibTeX]
In this paper we will give an overview of the Semantic Desktop paradigm, beginning with the history of the term, a definition, current work and its relevance to knowledge management of the future. Existing applications and research results are listed and their role as building blocks of the future Semantic Desktop described. Based on the analysis of existing systems we propose two software architecture paradigms, one for the Semantic Desktop at large and an
other for applications running on a Semantic Desktop. A view on the context aspect of the Semantic Desktop and the Knowledge Management aspect is given. Based on the current events and projects, we give an outlook on the next steps.
The Semantic Desktop - a Basis for Personal Knowledge Management.
In: H. Maurer, C. Calude, A. Salomaa and K. Tochtermann, editors,
Proceedings of the I-KNOW 2005. 5th International Conference on Knowledge
Management, pages 294 - 301.
2005.
Leo Sauermann.
[doi]
[BibTeX]
Swoogle: a search and metadata engine for the semantic web..
In:
CIKM, pages 652-659.
2004.
Li Ding, Timothy W. Finin, Anupam Joshi, Rong Pan, R. Scott Cost, Yun Peng, Pavan Reddivari, Vishal Doshi and Joel Sachs.
[doi]
[BibTeX]
Journal articles
Structure and evolution of blogspace.
Commun. ACM, 47(12):35-39, 2004.
Ravi Kumar, Jasmine Novak, Prabhakar Raghavan and Andrew Tomkins.
[doi]
[BibTeX]
Miscellaneous
Folksonomies - Cooperative Classification and Communication Through Shared Metadata.
2004.
Adam Mathes.
[doi]
[BibTeX]
Conference articles
Haystack: A Platform for Authoring End User Semantic Web Applications.
In: D. Fensel, K. Sycara and J. Mylopoulos, editors,
The SemanticWeb - ISWC 2003, volume 2870, series Lecture Notes in Computer Science, pages 738-753.
Springer, Berlin/Heidelberg, 2003.
Dennis Quan, David Huynh and David R. Karger.
[doi]
[abstract]
[BibTeX]
The Semantic Web promises to open innumerable opportunities for automation and information retrieval by standardizing the protocols for metadata exchange. However, just as the success of the World Wide Web can be attributed to the ease of use and ubiquity of Web browsers, we believe that the unfolding of the Semantic Web vision depends on users getting powerful but easy-to-use tools for managing their information. But unlike HTML, which can be easily edited in any text editor, RDF is more complicated to author and does not have an obvious presentation mechanism. Previous work has concentrated on the ideas of generic RDF graph visualization and RDF Schema-based form generation. In this paper, we present a comprehensive platform for constructing end user applications that create, manipulate, and visualize arbitrary RDF-encoded information, adding another layer to the abstraction cake. We discuss a programming environment specifically designed for manipulating RDF and introduce user interface concepts on top that allow the developer to quickly assemble applications that are based on RDF data models. Also, because user interface specifications and program logic are themselves describable in RDF, applications built upon our framework enjoy properties such as network updatability, extensibility, and end user customizability – all desirable characteristics in the spirit of the Semantic Web.
Item-based collaborative filtering recommendation algorithms..
In:
WWW, pages 285-295.
2001.
Badrul M. Sarwar, George Karypis, Joseph A. Konstan and John Riedl.
[doi]
[BibTeX]
Journal articles
Referral Web: combining social networks and collaborative filtering.
Commun. ACM, 40(3):63-65, 1997.
Henry Kautz, Bart Selman and Mehul Shah.
[BibTeX]