Artikel in Tagungsbänden
Analyzing Tag Semantics Across Collaborative Tagging Systems.
In: H. Alani, S. Staab und G. Stumme
(Herausgeber):
Proceedings of the Dagstuhl Seminar on Social Web Communities.
2008.
Dominik Benz, Marko Grobelnik, Andreas Hotho, Robert Jäschke, Dunja Mladenic, Vito D. P. Servedio, Sergej Sizov und Martin Szomszor.
[doi]
[Kurzfassung]
[BibTeX]
The objective of our group was to exploit state-of-the-art Information Retrieval methods for finding associations and dependencies between tags, capturing and representing differences in tagging behavior and vocabulary of various folksonomies, with the overall aim to better understand the semantics of tags and the tagging process. Therefore we analyze the semantic content of tags in the Flickr and Delicious folksonomies. We find that: tag context similarity leads to meaningful results in Flickr, despite its narrow folksonomy character; the comparison of tags across Flickr and Delicious shows little semantic overlap, being tags in Flickr associated more to visual aspects rather than technological as it seems to be in Delicious; there are regions in the tag-tag space, provided with the cosine similarity metric, that are characterized by high density; the order of tags inside a post has a semantic relevance.
Analyzing Tag Semantics Across Collaborative Tagging Systems.
In: H. Alani, S. Staab und G. Stumme
(Herausgeber):
Proceedings of the Dagstuhl Seminar on Social Web Communities.
2008.
Dominik Benz, Marko Grobelnik, Andreas Hotho, Robert Jäschke, Dunja Mladenic, Vito D. P. Servedio, Sergej Sizov und Martin Szomszor.
[doi]
[Kurzfassung]
[BibTeX]
The objective of our group was to exploit state-of-the-art Information Retrieval methods for finding associations and dependencies between tags, capturing and representing differences in tagging behavior and vocabulary of various folksonomies, with the overall aim to better understand the semantics of tags and the tagging process. Therefore we analyze the semantic content of tags in the Flickr and Delicious folksonomies. We find that: tag context similarity leads to meaningful results in Flickr, despite its narrow folksonomy character; the comparison of tags across Flickr and Delicious shows little semantic overlap, being tags in Flickr associated more to visual aspects rather than technological as it seems to be in Delicious; there are regions in the tag-tag space, provided with the cosine similarity metric, that are characterized by high density; the order of tags inside a post has a semantic relevance.
Analyzing Tag Semantics Across Collaborative Tagging Systems.
In: H. Alani, S. Staab und G. Stumme
(Herausgeber):
Social Web Communities, Reihe Dagstuhl Seminar Proceedings.
Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, 2008.
Dominik Benz, Marko Grobelnik, Andreas Hotho, Robert Jäschke, Dunja Mladenic, Vito D. P. Servedio, Sergej Sizov und Martin Szomszor.
[doi]
[Kurzfassung]
[BibTeX]
The objective of our group was to exploit state-of-the-art Information Retrieval methods for finding associations and dependencies between tags, capturing and representing differences in tagging behavior and vocabulary of various folksonomies, with the overall aim to better understand the semantics of tags and the tagging process. Therefore we analyze the semantic content of tags in the Flickr and Delicious folksonomies. We find that: tag context similarity leads to meaningful results in Flickr, despite its narrow folksonomy character; the comparison of tags across Flickr and Delicious shows little semantic overlap, being tags in Flickr associated more to visual aspects rather than technological as it seems to be in Delicious; there are regions in the tag-tag space, provided with the cosine similarity metric, that are characterized by high density; the order of tags inside a post has a semantic relevance.
Analyzing Tag Semantics Across Collaborative Tagging Systems.
In: H. Alani, S. Staab und G. Stumme
(Herausgeber):
Social Web Communities, Reihe Dagstuhl Seminar Proceedings.
Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, 2008.
Dominik Benz, Marko Grobelnik, Andreas Hotho, Robert Jäschke, Dunja Mladenic, Vito D. P. Servedio, Sergej Sizov und Martin Szomszor.
[doi]
[Kurzfassung]
[BibTeX]
The objective of our group was to exploit state-of-the-art Information Retrieval methods for finding associations and dependencies between tags, capturing and representing differences in tagging behavior and vocabulary of various folksonomies, with the overall aim to better understand the semantics of tags and the tagging process. Therefore we analyze the semantic content of tags in the Flickr and Delicious folksonomies. We find that: tag context similarity leads to meaningful results in Flickr, despite its narrow folksonomy character; the comparison of tags across Flickr and Delicious shows little semantic overlap, being tags in Flickr associated more to visual aspects rather than technological as it seems to be in Delicious; there are regions in the tag-tag space, provided with the cosine similarity metric, that are characterized by high density; the order of tags inside a post has a semantic relevance.
Artikel in Zeitschriften
Semi-automatic data-driven ontology construction system.
, 2006.
Blaz Fortuna, Marko Grobelnik und Dunja Mladenić.
[Kurzfassung]
[BibTeX]
In this paper we present a new version of OntoGen system for semi-automatic data-driven ontology construction. The system is based on a novel ontology learning framework which formalizes and extends the role of machine learning and text mining algorithms used in the previous version. List of new features includes extended number of supported ontology formats (RDFS and OWL), supervised methods for concept discovery (based on Active Learning), adding of new instances to ontology and improved user interface (based on comments from the users).
Sonstiges
Knowledge Discovery for Ontology Construction.
2006.
Marko Grobelnik und Dunja Mladenić.
[doi]
[Kurzfassung]
[BibTeX]
Summary 10.1002/047003033X.ch2.abs This chapter contains sections titled: * Introduction * Knowledge Discovery * Ontology Definition * Methodology for Semi-automatic Ontology Construction * Ontology Learning Scenarios * Using Knowledge Discovery for Ontology Learning * Related Work on Ontology Construction * Discussion and Conclusion * Acknowledgments * References
Artikel in Tagungsbänden
A Survey of Ontology Evaluation Techniques.
In:
Proc. of 8th Int. multi-conf. Information Society, Seiten 166-169.
2005.
Janez Brank, Marko Grobelnik und Dunja Mladenić.
[Kurzfassung]
[BibTeX]
An ontology is an explicit formal conceptualization of some domain of interest. Ontologies are increasingly used in various fields such as knowledge management, information extraction, and the semantic web. Ontology evaluation is the problem of assessing a given ontology from the point of view of a particular criterion of application, typically in order to determine which of several ontologies would best suit a particular purpose. This paper presents a survey of the state of the art in ontology evaluation.
A Survey of Ontology Evaluation Techniques.
In:
Proc. of 8th Int. multi-conf. Information Society, Seiten 166-169.
2005.
Janez Brank, Marko Grobelnik und Dunja Mladenić.
[BibTeX]
A Roadmap for Web Mining: From Web to Semantic Web..
In: B. Berendt, A. Hotho, D. Mladenic, M. van Someren, M. Spiliopoulou und G. Stumme
(Herausgeber):
Web Mining: From Web to Semantic Web, Band 3209, Seiten 1-22.
Springer, Heidelberg, 2004.
Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
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.
A Roadmap for Web Mining: From Web to Semantic Web..
In: B. Berendt, A. Hotho, D. Mladenic, M. van Someren, M. Spiliopoulou und G. Stumme
(Herausgeber):
Web Mining: From Web to Semantic Web, Band 3209, Seiten 1-22.
Springer, Heidelberg, 2004.
Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
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.