Efficient Auto-Generation of Taxonomies for Structured Knowledge Discovery and Organization
Authors: 
Deepak Ajwani, Sourav Dutta, Pat Nicholson, 
Luca Maria Aiello, Alessandra SalaAuthors Info & Claims
Deepak Ajwani, Sourav Dutta, Pat Nicholson, Luca Maria Aiello, Alessandra SalaAuthors Info & ClaimsPages 251 - 252
Abstract
This tutorial introduces the audience to the latest breakthroughs in the area of interpreting unstructured content through an analysis of the key enabling scientific results along with their real-world applications. With technical presentations of problems like named-entity disambiguation and dynamically updating the knowledge hierarchy with domain-specific vocabulary, it would provide the fundamentals to the building-blocks of various applications in Artificial Intelligence, Natural Language Processing, Machine Learning, and Data Mining.
References
[1]
Luca Maria Aiello, Rossano Schifanella, Daniele Quercia, and Francesco Aletta. 2016. Chatty maps: constructing sound maps of urban areas from social media data. Royal Society open science Vol. 3, 3 (2016), 150690.
[2]
P. Bille. 2005. A survey on tree edit distance and related problems. Theoretical Computer Science Vol. 337, 1 (2005), 217--239.
[3]
David M. Blei. 2012. Probabilistic Topic Models. Commun. ACM Vol. 55, 4 (April. 2012), 77--84.
[4]
Paolo Ferragina and Ugo Scaiella. 2010. TAGME: on-the-fly annotation of short text fragments (by wikipedia entities) Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26--30, 2010. ACM, 1625--1628.
[5]
E. B. Fowlkes and C. L. Mallows. 1983. A Method for Comparing Two Hierarchical Clusterings. J. Amer. Statist. Assoc. Vol. 78, 383 (1983), 553--569.
[6]
S. R. Gunn. 1998. Support Vector Machines for Classification and Regression. Technical Report. Univ. of Southampton, USA.
[7]
Victoria Henshaw. 2013. Urban smellscapes: Understanding and designing city smell environments. Routledge.
[8]
Ioana Hulpus, Conor Hayes, Marcel Karnstedt, and Derek Greene. 2013. Unsupervised Graph-based Topic Labelling Using Dbpedia WSDM.
[9]
Leo Katz. 1953. A new status index derived from sociometric analysis. Psychometrika Vol. 18, 1 (1953), 39--43.
[10]
Danai Koutra, Neil Shah, Joshua T. Vogelstein, Brian Gallagher, and Christos Faloutsos. 2016. DeltaCon: A principled massive-graph similarity function with attribution. ACM Transactions on Knowledge Discovery from Data (TKDD) Vol. 10, 3 (2016).
[11]
Tiep Mai, Bichen Shi, Patrick K. Nicholson, Deepak Ajwani, and Alessandra Sala. 2017. Scalable Disambiguation System Capturing Individualities of Mentions Language, Data, and Knowledge - First International Conference, LDK 2017, Galway, Ireland, June 19--20, 2017, Proceedings (Lecture Notes in Computer Science), Vol. Vol. 10318. Springer, 365--379.
[12]
Brian McFee and Gert Lanckriet. 2010. Metric Learning to Rank. In Proceedings of the 27th International Conference on International Conference on Machine Learning. 775--782.
[13]
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Distributed Representations of Words and Phrases and Their Compositionality Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 2. 3111--3119.
[14]
Daniele Quercia, Rossano Schifanella, Luca Maria Aiello, and Kate McLean. 2015. Smelly maps: the digital life of urban smellscapes. arXiv preprint arXiv:1505.06851 (2015).
[15]
Jiankai Sun, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, and Srinivasan Parthasarathy. 2017. Breaking cycles in noisy hierarchies. In ACM Conference on Web Science. 151--160.
Index Terms
- Efficient Auto-Generation of Taxonomies for Structured Knowledge Discovery and Organization
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Information & Contributors
Information
Published In
July 2018
266 pages
ISBN:9781450354271
DOI:10.1145/3209542
- General Chair:
- Dongwon Lee,
- Program Chairs:
- Nishanth Sastry,
- Ingmar Weber
Copyright © 2018 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
- SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
- SIGCHI: Specialist Interest Group in Computer-Human Interaction of the ACM
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 03 July 2018
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HT '18
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- SIGWEB
- SIGCHI
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HT '18 Paper Acceptance Rate 19 of 69 submissions, 28%;
Overall Acceptance Rate 378 of 1,158 submissions, 33%
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