The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.06 - June (2009 vol.21)
pp: 829-839
James Gardner , Emory University, Atlanta
Aaron Krowne , Emory University, Atlanta
Li Xiong , Emory University, Atlanta
ABSTRACT
In this paper, we introduce Noosphere Networked Entry eXtension and Unification System (NNexus), a generalization of the automatic linking engine of Noosphere (at PlanetMath.org) and the first system that automates the process of linking disparate "encyclopedia” entries into a fully connected conceptual network. The main challenges of this problem space include: 1) linking quality (correctly identifying which terms to link and which entry to link to with minimal effort on the part of users), 2) efficiency and scalability, and 3) generalization to multiple knowledge bases and web-based information environment. We present the NNexus approach that utilizes subject classification and other metadata to address these challenges. We also present evaluation results demonstrating the effectiveness and efficiency of the approach and discuss ongoing and future directions of research.
INDEX TERMS
E-learning, automatic linking, wiki, Semantic Web.
CITATION
James Gardner, Aaron Krowne, Li Xiong, "NNexus: An Automatic Linker for Collaborative Web-Based Corpora", IEEE Transactions on Knowledge & Data Engineering, vol.21, no. 6, pp. 829-839, June 2009, doi:10.1109/TKDE.2008.136
REFERENCES
[1] G. Adomavicius and A. Tuzhilin, “Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions,” IEEE Trans. Knowledge and Data Eng., vol. 17, no. 6, June 2005.
[2] T. Andreasen, J.F. Nilsson, and H.E. Thomsen, “Ontology-Based Querying,” Flexible Query-Answering Systems, pp. 15-26, 2000.
[3] R.A. Baeza-Yates and B.A. Ribeiro-Neto, Modern Information Retrieval. ACM Press/Addison-Wesley, 1999.
[4] K. Cardinaels, M. Meire, and E. Duval, “Automating Metadata Generation: The Simple Indexing Interface,” Proc. 14th Int'l Conf. World Wide Web (WWW '05), pp. 548-556, 2005.
[5] Y. Kalfoglou and M. Schorlemmer, “Ontology Mapping: The State of the Art,” Semantic Interoperability and Integration, Y. Kalfoglou, M. Schorlemmer, A. Sheth, S. Staab, and M. Uschold, eds., number 04391 in Dagstuhl Seminar Proc. Internationales Begegnungsund Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, 2005.
[6] J. Kolbitsch and H. Maurer, “Community Building around Encyclopeadic Knowledge,” J. Computing and Information Technology, vol. 14, 2006.
[7] A. Krowne, “An Architecture for Collaborative Math and Science Digital Libraries,” master's thesis, Virginia Polytechnic Inst. and State Univ., 2003.
[8] A. Souzis, “Building a Semantic Wiki,” IEEE Intelligent Systems, vol. 20, no. 5, pp. 87-91, Sept./Oct. 2005.
[9] S.E. Roberto Tazzoli and P. Castagna, “Towards a Semantic Wiki Wiki Web,” Proc. Third Int'l Semantic Web Conf. (ISWC), demo session, 2004.
[10] M. Völkel, M. Krötzsch, D. Vrandecic, H. Haller, and R. Studer, “Semantic Wikipedia,” Proc. 15th Int'l Conf. World Wide Web (WWW '06), pp. 585-594, 2006.
[11] G. Weaver, B. Strickland, and G. Crane, “Quantifying the Accuracy of Relational Statements in Wikipedia: A Methodology,” Proc. Sixth ACM/IEEE-CS Joint Conf. Digital Libraries (JCDL), 2006.
[12] L. Stojanovic, S. Staab, and R. Studer, “eLearning Based on the Semantic Web,” Proc. World Conf. WWW and Internet (WebNet), 2001.
[13] R. Farrel, S. Liburd, and J. Thomas, “Dynamic Assembly of Learning Objects,” Proc. 13th Int'l Conf. World Wide Web (WWW), 2004.
[14] N. Fridman Noy and M.A. Musen, “PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment,” Proc. 17th Nat'l Conf. Artificial Intelligence and 12th Conf. Innovative Applications of Artificial Intelligence, 2000.
[15] Z. Aleksovski and M. Klein, “Ontology Mapping Using Background Knowledge,” Proc. Third Int'l Conf. Knowledge Capture (K-CAP), 2005.
[16] J. Brase and W. Nejdl, Ontologies and Metadata for eLearning. Springer Verlag, 2003.
[17] K. Oyama and H. Gotoda, “Dublin Core Conference,” Proc. Int'l Conf. Dublin Core and Metadata Applications (DC), 2001.
[18] M. Nilsson, M. Palmer, and J. Brase, The LOM RDF Binding— Principles and Implementation, 2003.
5 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool