| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Jäschke, R., Krause, B., Hotho, A. & Stumme, G. | Logsonomy -- A Search Engine Folksonomy | 2008 | Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008) | inproceedings | URL |
| Abstract: In social bookmarking systems users describe bookmarksby keywords called tags. The structure behindthese social systems, called folksonomies, can beviewed as a tripartite hypergraph of user, tag and resourcenodes. This underlying network shows specificstructural properties that explain its growth and the possibilityof serendipitous exploration.Search engines filter the vast information of the web.Queries describe a user’s information need. In responseto the displayed results of the search engine, users clickon the links of the result page as they expect the answerto be of relevance. The clickdata can be represented as afolksonomy in which queries are descriptions of clickedURLs. This poster analyzes the topological characteristicsof the resulting tripartite hypergraph of queries,users and bookmarks of two query logs and compares ittwo a snapshot of the folksonomy del.icio.us. | |||||
BibTeX:
@inproceedings{jaeschke2008logsonomy,
author = {Jäschke, Robert and Krause, Beate and Hotho, Andreas and Stumme, Gerd},
title = {Logsonomy -- A Search Engine Folksonomy},
booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)},
publisher = {AAAI Press},
year = {2008},
url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf}
}
|
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| Jäschke, R., Krause, B., Hotho, A. & Stumme, G. | Logsonomy -- A Search Engine Folksonomy | 2008 | Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008) | inproceedings | URL |
| Abstract: In social bookmarking systems users describe bookmarksby keywords called tags. The structure behindthese social systems, called folksonomies, can beviewed as a tripartite hypergraph of user, tag and resourcenodes. This underlying network shows specificstructural properties that explain its growth and the possibilityof serendipitous exploration.Search engines filter the vast information of the web.Queries describe a user’s information need. In responseto the displayed results of the search engine, users clickon the links of the result page as they expect the answerto be of relevance. The clickdata can be represented as afolksonomy in which queries are descriptions of clickedURLs. This poster analyzes the topological characteristicsof the resulting tripartite hypergraph of queries,users and bookmarks of two query logs and compares ittwo a snapshot of the folksonomy del.icio.us. | |||||
BibTeX:
@inproceedings{jaeschke2008logsonomy,
author = {Jäschke, Robert and Krause, Beate and Hotho, Andreas and Stumme, Gerd},
title = {Logsonomy -- A Search Engine Folksonomy},
booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)},
publisher = {AAAI Press},
year = {2008},
url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf}
}
|
|||||
| Jäschke, R., Krause, B., Hotho, A. & Stumme, G. | Logsonomy -- A Search Engine Folksonomy | 2008 | Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008) | inproceedings | URL |
| Abstract: In social bookmarking systems users describe bookmarks
keywords called tags. The structure behind ese social systems, called folksonomies, can be ewed as a tripartite hypergraph of user, tag and resource des. This underlying network shows specific ructural properties that explain its growth and the possibility serendipitous exploration. arch engines filter the vast information of the web. eries describe a user’s information need. In response the displayed results of the search engine, users click the links of the result page as they expect the answer be of relevance. The clickdata can be represented as a lksonomy in which queries are descriptions of clicked Ls. This poster analyzes the topological characteristics the resulting tripartite hypergraph of queries, ers and bookmarks of two query logs and compares it o a snapshot of the folksonomy del.icio.us. |
|||||
BibTeX:
@inproceedings{Jaeschke2008logsonomy,
author = {Jäschke, Robert and Krause, Beate and Hotho, Andreas and Stumme, Gerd},
title = {Logsonomy -- A Search Engine Folksonomy},
booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)},
publisher = {AAAI Press},
year = {2008},
url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf}
}
|
|||||
| Krause, B., Jäschke, R., Hotho, A. & Stumme, G. | Logsonomy - Social Information Retrieval with Logdata | 2008 | HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia, pp. 157-166 | inproceedings | DOI URL |
| Abstract: Social bookmarking systems constitute an established
rt of the Web 2.0. In such systems ers describe bookmarks by keywords lled tags. The structure behind these social stems, called folksonomies, can be viewed a tripartite hypergraph of user, tag and resource des. This underlying network shows ecific structural properties that explain its owth and the possibility of serendipitous ploration. day’s search engines represent the gateway retrieve information from the World Wide b. Short queries typically consisting of o to three words describe a user’s information ed. In response to the displayed sults of the search engine, users click on e links of the result page as they expect e answer to be of relevance. is clickdata can be represented as a folksonomy which queries are descriptions of icked URLs. The resulting network structure, ich we will term logsonomy is very milar to the one of folksonomies. In order find out about its properties, we analyze e topological characteristics of the tripartite pergraph of queries, users and bookmarks a large snapshot of del.icio.us and query logs of two large search engines. l of the three datasets show small world operties. The tagging behavior of users, ich is explained by preferential attachment the tags in social bookmark systems, is flected in the distribution of single query rds in search engines. We can conclude at the clicking behaviour of search engine ers based on the displayed search results d the tagging behaviour of social bookmarking ers is driven by similar dynamics. |
|||||
BibTeX:
@inproceedings{krause2008logsonomy,
author = {Krause, Beate and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd},
title = {Logsonomy - Social Information Retrieval with Logdata},
booktitle = {HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia},
publisher = {ACM},
year = {2008},
pages = {157--166},
url = {http://portal.acm.org/citation.cfm?id=1379092.1379123&coll=ACM&dl=ACM&type=series&idx=SERIES399&part=series&WantType=Journals&title=Proceedings%20of%20the%20nineteenth%20ACM%20conference%20on%20Hypertext%20and%20hypermedia},
doi = {http://doi.acm.org/10.1145/1379092.1379123}
}
|
|||||
| Krause, B., Jäschke, R., Hotho, A. & Stumme, G. | Logsonomy - Social Information Retrieval with Logdata | 2008 | HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia, pp. 157-166 | inproceedings | DOI URL |
| Abstract: Social bookmarking systems constitute an established rt of the Web 2.0. In such systems ers describe bookmarks by keywords lled tags. The structure behind these social stems, called folksonomies, can be viewed a tripartite hypergraph of user, tag and resource des. This underlying network shows ecific structural properties that explain its owth and the possibility of serendipitous ploration. day’s search engines represent the gateway retrieve information from the World Wide b. Short queries typically consisting of o to three words describe a user’s information ed. In response to the displayed sults of the search engine, users click on e links of the result page as they expect e answer to be of relevance. is clickdata can be represented as a folksonomy which queries are descriptions of icked URLs. The resulting network structure, ich we will term logsonomy is very milar to the one of folksonomies. In order find out about its properties, we analyze e topological characteristics of the tripartite pergraph of queries, users and bookmarks a large snapshot of del.icio.us and query logs of two large search engines. l of the three datasets show small world operties. The tagging behavior of users, ich is explained by preferential attachment the tags in social bookmark systems, is flected in the distribution of single query rds in search engines. We can conclude at the clicking behaviour of search engine ers based on the displayed search results d the tagging behaviour of social bookmarking ers is driven by similar dynamics. |
|||||
BibTeX:
@inproceedings{krause2008logsonomy,
author = {Krause, Beate and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd},
title = {Logsonomy - Social Information Retrieval with Logdata},
booktitle = {HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia},
publisher = {ACM},
year = {2008},
pages = {157--166},
url = {http://portal.acm.org/citation.cfm?id=1379092.1379123&coll=ACM&dl=ACM&type=series&idx=SERIES399&part=series&WantType=Journals&title=Proceedings%20of%20the%20nineteenth%20ACM%20conference%20on%20Hypertext%20and%20hypermedia},
doi = {http://doi.acm.org/10.1145/1379092.1379123}
}
|
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Created by JabRef on 27/04/2024.