Web Directory

» A General Evaluation Framework for Topical Crawlers
   By P. Srinivasan, F. Menczer and G. Pant. In: Information Retrieval, 2005. The ODP hierarchy is used as source for topics.
   http://dollar.biz.uiowa.edu/~pant/Papers/crawl_framework.pdf

» Accelerated Focused Crawling through Online Relevance Feedback
   By Soumen Chakrabarti, Kunal Punera, IIT Bombay, India, and Mallela Subramanyam, University of Texas, Austin, USA. In: Proceedings of the 11th international conference on World Wide Web, 2002. The ODP taxonomy is used for the experiments.
   http://www.cse.iitb.ac.in/soumen/doc/www2002m/p336-chakrabarti.pdf

» Algorithmic Computation and Approximation of Semantic Similarity
   By A. Maguitman, F. Menczer, F. Erdinc, H. Roinestad and A. Vespignani, Indiana University. In: World Wide Web, Volume 9, Issue 4, 2006. An information-theoretic measure of semantic similarity between pages exploiting both hierarchical and non-hierarchica
   http://informatics.indiana.edu/fil/Papers/semsim_extended.pdf

» Enhanced Word Clustering for Hierarchical Text Classification
   By Inderjit S. Dhillon, Subramanyam Mallela and Rahul Kumar, University of Texas, Austin, USA. Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, 2002. The authors propose a new information-theoretic divi
   http://www.cs.utexas.edu/users/inderjit/public_papers/hierdist.pdf

» Improving Web Search Results Using Affinity Graph
   By Benyu Zhang, Hua Li, Yi Liu, Lei Ji, Wensi Xi, Weiguo Fan, Zheng Chen and Wei-Ying Ma. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. The authors propose a ranking scheme named Affinity Ranking (AR). Yahoo, ODP and
   http://research.microsoft.com/apps/pubs/default.aspx?id=67818

» Index Construction for Linear Categorisation
   By Vaughan R. Shanks and Hugh E. Williams, RMIT University, Melbourne, Australia. Proceedings of the twelfth international conference on Information and knowledge management, 2003. A problem with iterative training techniques for automatic text categorisa
   http://www.seg.rmit.edu.au/research/download.php?manuscript=142

» Lycos Retriever: An Information Fusion Engine
   By Brian Ulicny. In: Proceedings of the Human Language Technology Conference of the NAACL. June 2006. The Lycos Retriever automatically generates coherent topical summaries of popular web query topics. The ODP hierarchy is used for topic categorization an
   http://vistology.com/papers/retriever-final.pdf

» Mapping Ontologies into Cyc
   By Stephen L. Reed and Douglas B. Lenat, Cycorp Inc., Austin, USA, 2002. The authors present the process by which several ontologies have been mapped or integrated with Cyc, a large commonsense knowledge base, over 15 years. ODP was among the chosen ontol
   http://www.cyc.com/doc/white_papers/mapping-ontologies-into-cyc_v31.pdf

» OCELOT: A System for Summarizing Web Pages
   By Adam L. Berger, Carnegie Mellon University, and Vibhu O. Mittal, Just Research, Pittsburgh, USA. In: Proceedings of the 23rd Annual International ACM SIGIR Conference, 2000. Probabilistic models are used to select and order words into a gist. The paper
   http://portal.acm.org/citation.cfm?id=345565&dl=ACM&coll=portal

» OCFS: Optimal Orthogonal Centroid Feature Selection for Text Categorization
   By Jun Yan, Ning Liu, Benyu Zhang, Shuicheng Yan, Zheng Chen, Qiansheng Cheng, Weiguo Fan and Wei-Ying Ma. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. Experiments based on 20 Newsgroups (20NG), Reuters Corpus Volume
   http://research.microsoft.com/research/pubs/view.aspx?pubid=1460

» Summarizing Web Sites Automatically
   By Y. Zhang, N. Zincir-Heywood and E. Milios, Dalhousie University, Canada. In: Proceedings of the Sixteenth Conference of the Canadian Society for Computational Studies of Intelligence, 2003. Machine learning and natural language processing techniques ar
   http://flame.cs.dal.ca/~yongzhen/publication/paper/ai03.pdf

» THESUS: Organizing Web Document Collections Based on Link Semantics
   By Maria Halkidi, Benjamin Nguyen, Iraklis Varlamis and Michalis Vazirgiannis. In: The VLDB Journal - The International Journal on Very Large Data Bases, 2003. Currently Web documents are classified based on their content not taking into account the fact
   http://www.db-net.aueb.gr/index.php/corporate/content/download/159/416/file/HNVV03_VLDBJ.pdf

» The ICS-FORTH RDFSuite: Managing Voluminous RDF Description Bases
   By Sofia Alexaki, Vassilis Christophides, Gregory Karvounarakis, Dimitris Plexousakis and Karsten Tolle. 2001. The ODP RDF dump was used as a testbed for a suite of tools for RDF validation, storage and querying.
   http://139.91.183.30:9090/RDF/publications/semweb2001.html

» The Influence of Caption Features on Clickthrough Patterns in Web Search
   By Charles L. A. Clarke, University of Waterloo, Eugene Agichtein, Emory University, and Susan Dumais and Ryen W. White, Microsoft. In: Proceedings of the 30th Annual International ACM SIGIR Conference, July 2007. The results of the study suggest that rel
   http://research.microsoft.com/~ryenw/papers/ClarkeSIGIR2007.pdf

» The Structure of Broad Topics on the Web
   By Soumen Chakrabarti, Mukul M. Joshi, Kunal Punera and David M. Pennock, IIT Bombay and NEC Research Institute. In: Proceedings of the 11th international conference on World Wide Web, 2002. Many studies on the Web graph concentrate on the graph structure
   http://www2002.org/CDROM/refereed/338/

» Topic Sensitive PageRank
   T. Haveliwala proposes bringing topical information into PageRank calculation, using pages listed in the ODP. In: Proceedings of the Eleventh International World Wide Web Conference, May 2002.
   http://www2002.org/presentations/haveliwala-rp17.pdf

» Using ODP Metadata to Personalize Search
   By Paul Alexandru Chirita, Wolfgang Nejdl, Raluca Paiu and Christian Kohlschütter, L3S and University of Hannover, Germany. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. The paper discusses how ODP metadata can be ex
   http://www.l3s.de/~chirita/publications/chirita05using.pdf

» Web Content Categorization Using Link Information
   By Zoltan Gyongyi and Hector Garcia-Molina, Stanford University, and Jan Pedersen, Yahoo. Technical Report, June 2006. Introduces a link-based approach to classification, which can be used in isolation or in conjunction with text-based classification. The
   http://dbpubs.stanford.edu:8090/pub/showDoc.Fulltext?lang=en&doc=2006-17&format=pdf&compression=&name=2006-17.pdf

» Web-Page Summarization Using Clickthrough Data
   By Jian-Tao Sun, Dou Shen, HuaJun Zeng, Qiang Yang, Yuchang Lu and Zheng Chen. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. The authors propose two adapted summarization methods that take advantage of the relationshi
   http://research.microsoft.com/apps/pubs/default.aspx?id=69202