Directory of Research Papers Resources

Home > Computers > Internet > Searching > Directories > DMOZ > Research Papers

Academic research related to the Open Directory Project. The listed research papers may quote ODP as an example for a large web directory, they may describe studies based on ODP data, tests for which ODP data were used or they may focus on ODP itself.

Subcategories

• Evaluation of Search Services
• Semantic Web
• Web Spam

Resources in This Category

• Algorithmic Computation and Approximation of Semantic Similarity

  http://informatics.indiana.edu/fil/Papers/semsim_extended.pdf
  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-hierarchical ODP structure improves on taxonomy-based approaches.

• Enhanced Word Clustering for Hierarchical Text Classification

  http://www.cs.utexas.edu/users/inderjit/public_papers/hierdist.pdf
  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 divisive algorithm for word clustering applied to text classification. Experimental results are based on a 20 Newsgroups data set and a 3-level hierarchy of HTML documents collected from ODP´s Science toplevel.

• Feature Generation for Textual Information Retrieval Using World Knowledge

  http://www.cs.technion.ac.il/~gabr/papers/phd-thesis.pdf
  Ph.D thesis by Evgeniy Gabrilovich, Technion Israel Institute of Technology.

• Improving Web Search Results Using Affinity Graph

  http://research.microsoft.com/apps/pubs/default.aspx?id=67818
  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 newsgroup data are used for the experiments.

• Mapping Ontologies into Cyc

  http://www.cyc.com/publications/mapping-ontologies-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 ontologies but was removed because the constant enhancements in the directory created a high maintenance burden.

• OCELOT: A System for Summarizing Web Pages

  http://portal.acm.org/citation.cfm?id=345565&dl=ACM&coll=portal
  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 describes a technique for learning these models automatically from a collection of human-summarized web pages, the authors used ODP data for this purpose.

• Small World Peer Networks in Distributed Web Search

  http://www2004.org/proceedings/docs/2p396.pdf
  By Ruj Akavipat, Le-Shin Wu and Filippo Menczer. Collaborative peer network applications offer a possible solution for the scalability limitations of centralized search engines. The authors suggest to use a local adaptive routing algorithm to dynamically change the topology of the peer network based on a learning scheme driven by query response interactions among neighbors. ODP data are used to model simulated users.

• The ICS-FORTH RDFSuite: Managing Voluminous RDF Description Bases

  http://139.91.183.30:9090/RDF/publications/semweb2001.html
  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.

• The Influence of Caption Features on Clickthrough Patterns in Web Search

  http://research.microsoft.com/~ryenw/papers/ClarkeSIGIR2007.pdf
  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 relatively simple caption features such as the presence of all terms query terms, the readability of the snippet, and the length of the URL shown in the caption, can significantly influence users´ Web search behavior. The experiments are based on the Windows Live search engine, which may use ODP titles and descriptions when generating captions.

• Using ODP Metadata to Personalize Search

  http://www.l3s.de/~chirita/publications/chirita05using.pdf
  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 exploited to achieve high quality personalized web search.

• Web Content Categorization Using Link Information

  http://dbpubs.stanford.edu:8090/pub/showDoc.Fulltext?lang=en&doc=2006-17&format=pdf&compression=&name=2006-17.pdf
  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 Yahoo web index and ODP are used for the experiments.

• Web-Page Summarization Using Clickthrough Data

  http://research.microsoft.com/apps/pubs/default.aspx?id=69202
  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 relationships discovered from clickthrough data. For those pages not covered by clickthrough data, they put forward a thematic lexicon approach to generate implicit knowledge. The methods are evaluated on a relatively small dataset consisting of manually annotated pages as well as a large dataset crawled from ODP.

Other Languages

• French

 

Home > Computers > Internet > Searching > Directories > DMOZ > Research Papers

 

---

 

Thanks to DMOZ, which built a great web directory for nearly two decades and freely shared it with the web. About us