Towards next generation CiteSeer: A flexible architecture for digital library deployment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4172 LNCS, Issue , 2006, Pages 111-122

  Councill, I G ^a   Giles, C L ^a   Di Iorio, E ^b   Gori, M ^b   Maggini, M ^b   Pucci, A ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF SIENA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; FAULT TOLERANT COMPUTER SYSTEMS; INDEXING (OF INFORMATION); INFORMATION SCIENCE; QUALITY OF SERVICE; SEARCH ENGINES;

CITESEER SYSTEM; FLEXIBLE ARCHITECTURE; INFORMATION EXTRACTION; SYSTEM FLEXIBILITY;

DIGITAL LIBRARIES;

EID: 33750248032     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11863878_10     Document Type: Conference Paper

References (16)

1. B. L. Buteau. A generic framework for distributed, cooperating blackboard systems. Proceedings of the 1990 ACM annual conference on Cooperation, p.358-365, February 20-22, 1990.
2. H. Chen, V. Dhar. A knowledge-based approach to the design of document-based retrieval systems. ACM SIGOIS Bulletin, v.11 n.2-3, p.281-290, Apr. 1990.
3. E. Garfield. Science Citation Index - A new dimension in indexing. Science, 144, pp. 649-654, 1964.
4. C.L. Giles, K. Bollacker and S. Lawrence. CiteSeer: An Automatic Citation Indexing System, Digital Libraries 98: Third ACM Conf. on Digital Libraries, ACM Press. New York, 1998, pp. 89-98.
5. C.L. Giles and I.G. Councill. Who gets acknowledged: measuring scientific contributions through automatic acknowledgement indexing. PNAS, 101, Number 51, pp. 17599-17604, 2004.
6. H. Han, C. Lee Giles, E. Manavoglu, H. Zha, Z. Zhang, E. A. Fox. Automatic Document Metadata Extraction using Support Vector Machines. Proceedings of the 2003 Joint Conference on Digital Libraries (JCDL03), 2003.
7. J. Lafferty, A. McCallum, and F. Pereira. Conditional Random Fields: Probabilistic models for segmenting and labeling sequence data. In International Conference on Machine Learning, 2001.
8. S. Lawrence, C. Lee Giles. Searching the World Wide Web. Science, 280, Number 5360, pp. 98-100, 1998.
9. T. R. Leek. Information extraction using hidden Markov models. Masters thesis, UC San Diego, 1997.
10. H. Penny Nil. Blackboard systems: The blackboard model of problem solving and the evolution of blackboard architectures. The AI Magazine, VII(2):38-53, Summer 1986.
11. T. O'Reilly. What Is Web 2.0 Design Patterns and Business Models for the Next Generation of Software. http://www.orellynet.eom/pub/a/oreilly/tim/news/ 2005/09/30/what-is-web-20.html
12. F. Peng and A. McCallum. Accurate information extraction from research papers using conditional random fields. Proceedings of Human Language Technology Conference and North American Chapter of the Association for Computational Linguistics(HLT-NAACL), pages 329336 (2004).
13. Y. Petinot, C. Lee Giles, V. Bhatnagar, P. B. Teregowda, H. Han, I. Councill. A Service-Oriented Architecture for Digital Libraries. ICSOC04, November 15-19, 2004.
14. K. Seymore, A. McCallum and R. Rosenfeld. Learning hidden Markov model structure for information extraction. In Papers from the AAAI-99 Workshop on Machine Learning for Information Extration, pages 3742, July 1999.
15. J. Stribling, I.G. Councill, M.F. Kaashoek, R. Morris, and S. Shenker. Overcite: A cooperative digital research library. In Proceedings of The International Workshop on Peer-To-Peer Systems (IPTPS 05), Ithaca, NY, 2005.
16. H. Van de Sompel, P. Hochstenbach. Reference linking in a hybrid library environment. Part 1: Frameworks for linking. D-Lib Magazine, v.5 n.4, 1999.