| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Abbasi, R. & Staab, S. | Introducing Triple Play for Improved Resource Retrieval in Collaborative Tagging Systems | 2008 | In: Proc. of ECIR'08 Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR 2008) | inproceedings | URL |
| Abstract: Collaborative tagging systems (like Flickr, del.icio.us, citeulike, etc.) are becoming more popular with passage of time. Users share their resources on tagging systems, and add keywords (called tags) to these resources. Users can search resources using these tags. But as the user gives more tags for search, he might not get sufficient search results, because the resources might not be tagged with all the related tags. We introduce the method Triple Play, which smoothes the tag space by user space for improved retrieval of resources. As a part of Triple Play, we also propose two new vector space models for collaborative tagging systems, SmoothVSM Dense and SmoothVSM Sparse. These vector space models exploit the user-tag co-occurrence relationship to overcome the problem of missing information in tagging systems. Finally we apply Latent Semantic Analysis to different vector space models and analyze the results. Initial experimentation show that using additional information available in tagging systems helps in improving search in tagging systems. |
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BibTeX:
@inproceedings{Abbasi2008ITP,
author = {Rabeeh Abbasi and Steffen Staab},
title = {Introducing Triple Play for Improved Resource Retrieval in Collaborative Tagging Systems},
booktitle = {In: Proc. of ECIR'08 Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR 2008)},
year = {2008},
url = {http://www.uni-koblenz.de/~abbasi/publications/Abbasi2008ITP.pdf}
}
|
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| Abbasi, R., Staab, S. & Cimiano, P. | Organizing Resources on Tagging Systems using T-ORG | 2007 | In proceedings of Workshop on Bridging the Gap between Semantic Web and Web 2.0 at ESWC 2007 | inproceedings | URL |
| Abstract: Tagging systems (or folksonomies) like Flickr or Delicious are expanding tremendously. More and more resources are being added to them. As the resources present on these system increase in amount, it becomes difficult to explore these resources. For this purpose, we present a system T-ORG, which provides a mechanism to organize these resources by classifying the tags (or keywords) attached to them into predefined categories. Supervised classification in this case seems infeasible; therefore we also propose a new classification algorithm T-KNOW that does not require training data. For our experiments, we have downloaded images and their tags from groups present on Flickr website and then classified these tags into different categories. We have used Cohen’s Kappa and F-measure to evaluate the classification results of T-KNOW. Results are encouraging and show that T-ORG can be used to explore resources in an effective manner. | |||||
BibTeX:
@inproceedings{Abbasi:2007,
author = {Rabeeh Abbasi and Steffen Staab and Philipp Cimiano},
title = {Organizing Resources on Tagging Systems using T-ORG},
booktitle = {In proceedings of Workshop on Bridging the Gap between Semantic Web and Web 2.0 at ESWC 2007},
year = {2007},
pages = {97-110},
url = {http://www.uni-koblenz.de/~abbasi/publications/Abbasi2007ORO.pdf}
}
|
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| Baldi, P., Frasconi, P. & Smyth, P. | Modeling the Internet and the Web: Probabilistic Methods and Algorithms | 2003 | Modeling the Internet and the Web: Probabilistic Methods and Algorithms | inbook | URL |
| Abstract: Modeling the Internet and the Web covers the most important aspects of modeling the Web using a modern mathematical and probabilistic treatment. It focuses on the information and application layers, as well as some of the emerging properties of the Internet. Provides a comprehensive introduction to the modeling of the Internet and the Web at the information level. Takes a modern approach based on mathematical, probabilistic, and graphical modeling. Provides an integrated presentation of theory, examples, exercises and applications. Covers key topics such as text analysis, link analysis, crawling techniques, human behaviour, and commerce on the Web. Interdisciplinary in nature, Modeling the Internet and the Web will be of interest to students and researchers from a variety of disciplines including computer science, machine learning, engineering, statistics, economics, business, and the social sciences. | |||||
BibTeX:
@inbook{baldi03modelling,
author = {Pierre Baldi and Paolo Frasconi and Padhraic Smyth},
title = {Modeling the Internet and the Web: Probabilistic Methods and Algorithms},
booktitle = {Modeling the Internet and the Web: Probabilistic Methods and Algorithms},
publisher = {Wiley},
year = {2003},
url = {http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470849061.html}
}
|
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| Bekkerman, R., El-Yaniv, R. & McCallum, A. | Multi-way distributional clustering via pairwise interactions [BibTeX] |
2005 | ICML '05: Proceedings of the 22nd international conference on Machine learning | inproceedings | DOI |
BibTeX:
@inproceedings{1102357,
author = {Ron Bekkerman and Ran El-Yaniv and Andrew McCallum},
title = {Multi-way distributional clustering via pairwise interactions},
booktitle = {ICML '05: Proceedings of the 22nd international conference on Machine learning},
publisher = {ACM Press},
year = {2005},
pages = {41--48},
doi = {http://doi.acm.org/10.1145/1102351.1102357}
}
|
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| Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. | Information Retrieval in Folksonomies: Search and Ranking [BibTeX] |
2006 | Proceedings of the 3rd European Semantic Web Conference | inproceedings | URL |
BibTeX:
@inproceedings{hotho2006information,
author = {Andreas Hotho and Robert Jäschke and Christoph Schmitz and Gerd Stumme},
title = {Information Retrieval in Folksonomies: Search and Ranking},
booktitle = {Proceedings of the 3rd European Semantic Web Conference },
publisher = {Springer},
year = {2006},
pages = {411-426},
url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/seach2006hotho_eswc.pdf}
}
|
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| Hébert, C. & Crémilleux, B. | A Unified View of Objective Interestingness Measures [BibTeX] |
{2007} | 5th International Conference on Machine Learning and Data Mining (MLDM'07) | inproceedings | |
BibTeX:
@inproceedings{Hebert2007,
author = {C. Hébert and B. Crémilleux},
title = {{A Unified View of Objective Interestingness Measures}},
booktitle = {{5th International Conference on Machine Learning and Data Mining (MLDM'07)}},
publisher = {Springer-Verlag},
year = {{2007}},
pages = {--}
}
|
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| Jin, J., Qin, K. & Pei, Z. | Reduction-Based Approaches Towards Constructing Galois (Concept) Lattices. [BibTeX] |
2006 | RSKT | inproceedings | URL |
BibTeX:
@inproceedings{conf/rskt/JinQP06,
author = {Jingyu Jin and Keyun Qin and Zheng Pei},
title = {Reduction-Based Approaches Towards Constructing Galois (Concept) Lattices.},
booktitle = {RSKT},
publisher = {Springer},
year = {2006},
volume = {4062},
pages = {107-113},
url = {http://dblp.uni-trier.de/db/conf/rskt/rskt2006.html#JinQP06}
}
|
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| Millet, C., Grefenstette, G., Bloch, I., Moëllic, P. & Hède, P. | Automatically Populating an Image Ontology and Semantic Color Filtering [BibTeX] |
2006 | Ontoimage 2006, Language Resources for Content-Based Image Retrieval | inproceedings | |
BibTeX:
@inproceedings{CM:ontoImage-06,
author = {C. Millet and G. Grefenstette and I. Bloch and P.-A. Mo\"ellic and P. H\`ede},
title = {Automatically Populating an Image Ontology and Semantic Color Filtering},
booktitle = {Ontoimage 2006, Language Resources for Content-Based Image Retrieval},
year = {2006},
pages = {34-39}
}
|
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| Passant, A. | Using Ontologies to Strengthen Folksonomies and Enrich Information Retrieval in Weblogs [BibTeX] |
2007 | article | ||
BibTeX:
@article{passant:uos,
author = {A. Passant},
title = {{Using Ontologies to Strengthen Folksonomies and Enrich Information Retrieval in Weblogs}},
year = {2007}
}
|
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| Smet, W. D. & Moens, M. | Extraction of Folksonomies from Noisy Texts [BibTeX] |
2007 | article | ||
BibTeX:
@article{desmet:efn,
author = {W. De Smet and M.F. Moens},
title = {{Extraction of Folksonomies from Noisy Texts}},
year = {2007}
}
|
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