CiteSeerx: A scholarly big dataset

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

Volumn 8416 LNCS, Issue , 2014, Pages 311-322

  Caragea, Cornelia ^a   Wu, Jian ^a,c   Ciobanu, Alina ^b,d   Williams, Kyle ^a,c   Fernández Ramírez, Juan ^a,e   Chen, Hung Hsuan ^a,c   Wu, Zhaohui ^a,c   Giles, Lee ^a,c  

^a UNIVERSITY OF NORTH TEXAS   (United States)

^b Center for Advanced Research and Technology   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

^d UNIVERSITY OF BUCHAREST   (Romania)

^e UNIVERSIDAD DE LOS ANDES   (Colombia)

Author keywords

Record Linkage; Scholarly Big Data

Indexed keywords

DIGITAL LIBRARIES; INFORMATION RETRIEVAL; METADATA; RESEARCH; ARTIFICIAL INTELLIGENCE; BIG DATA; LEARNING SYSTEMS;

AUTOMATED TECHNIQUES; BIG DATUM; CITESEER; EXTERNAL DATA SOURCES; META-DATA EXTRACTIONS; RECORD LINKAGE; RETRIEVAL APPLICATIONS; SCIENTIFIC INFORMATION; RESEARCH COMMUNITIES;

DATA PROCESSING; DATA MINING;

EID: 84899928992     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-06028-6_26     Document Type: Conference Paper

References (30)

1. Giles, C.L., Bollacker, K., Lawrence, S.: Citeseer: An automatic citation indexing system. In: Digital Libraries 1998, pp. 89-98 (1998)
2. Lu, Q., Getoor, L.: Link-based classification. In: ICML (2003)
3. Peng, F., Schuurmans, D.: Combining naive bayes and n-gram language models for text classification. In: Sebastiani, F. (ed.) ECIR 2003. LNCS, vol. 2633, pp. 335-350. Springer, Heidelberg (2003)
4. Caragea, C., Silvescu, A., Kataria, S., Caragea, D., Mitra, P.: Classifying scientific publications using abstract features. In: SARA (2011)
5. Sen, P., Namata, G.M., Bilgic, M., Getoor, L., Gallagher, B., Eliassi-Rad, T.: Collective classification in network data. AI Magazine 29(3), 93-106 (2008)
6. Zhou, D., Zhu, S., Yu, K., Song, X., Tseng, B.L., Zha, H., Giles, C.L.: Learning multiple graphs for document recommendations. In: Proc. of WWW 2008 (2008)
7. Caragea, C, Silvescu, A., Mitra, P., Giles, C.L.: Can't see the forest for the trees? a citation recommendation system. In: Proceedings of JCDL 2013 (2013)
8. Huang, W., Kataria, S., Caragea, C, Mitra, P., Giles, C.L., Rokach, L.: Recommending citations: translating papers into references. In: CIKM (2012)
9. Kü̧cüktunc, O., Saule, E., Kaya, K., Çatalyü rek, U.V.: Diversified recommendation on graphs: pitfalls, measures, and algorithms. In: WWW (2013)
10. Nallapati, R.M., Ahmed, A., Xing, E.P., Cohen, W.W.: Joint latent topic models for text and citations. In: Proceedings of KDD 2008 (2008)
11. Treeratpituk, P., Giles, C.L.: Disambiguating authors in academic publications using random forests. In: Proc. of JCDL, JCDL 2009 (2009)
12. Gollapalli, S.D., Mitra, P., Giles, C.L.: Similar researcher search in academic environments. In: JCDL (2012)
13. Chen, H.H., Gou, L., Zhang, X., Giles, CL.: Collabseer: a search engine for collaboration discovery. In: Proceedings of JCDL 2011 (2011)
14. Kan, M.Y.: Slideseer: a digital library of aligned document and presentation pairs. In: Proceedings of JCDL 2007 (2007)
15. Kataria, S., Mitra, P., Caragea, C, Giles, C.L.: Context sensitive topic models for author influence in document networks. In: Proceedings of IJCAI 2011 (2011)
16. Rosen-Zvi, M., Griffiths, T., Steyvers, M., Smyth, P.: The author-topic model for authors and documents. In: Proceedings of UAI 2004 (2004)
17. Bhattacharya, I., Getoor, L.: A latent dirichlet model for unsupervised entity resolution. In: SDM (2006)
18. Han, H., Giles, C.L., Manavoglu, E., Zha, H., Zhang, Z., Fox, E.A.: Automatic document metadata extraction using support vector machines. In: JCDL (2003)
19. Councill, I.G., Giles, C.L., Yen Kan, M.: Parscit: An open-source crf reference string parsing package. In: Intl. Language Resources and Evaluation (2008)
20. Bhattacharya, I., Getoor, L.: Iterative record linkage for cleaning and integration. In: DMKD (2004)
21. Fellegi, I.P., Sunter, A.B.: A theory for record linkage. Journal of the American Statistical Association 64, 1183-1210 (1969)
22. Rahm, E., Do, H.H.: Data cleaning: Problems and current approaches. IEEE Data Engineering Bulletin 23 (2000)
23. Tejada, S., Knoblock, CA., Minton, S.: Learning object identification rules for information integration. Journal Information Systems (2001)
24. Bilenko, M., Mooney, R.J.: Adaptive duplicate detection using learnable string similarity measures. In: Proceedings of KDD 2003 (2003)
25. Cohen, W.W., Richman, J.: Learning to match and cluster large high-dimensional data sets for data integration. In: Proceedings of KDD 2002 (2002)
26. Winkler, W.E.: Methods for record linkage and bayesian networks. Technical report, Statistical Research Div., U.S. Bureau of the Census (2002)
27. Cohen, W.W., Ravikumar, P., Fienberg, S.E.: A comparison of string distance metrics for name-matching tasks. In: IJCAI, pp. 73-78 (2003)
28. Pasula, H., Marthi, B., Milch, B., Russell, S., Shpitser, I.: Identity uncertainty and citation matching. In: NIPS. MIT Press (2003)
29. McCallum, A., Wellner, B.: Toward conditional models of identity uncertainty with application to proper noun coreference. In: IIWeb (2003)
30. Manku, G.S., Jain, A., Das Sarma, A.: Detecting near-duplicates for web crawling. In: Proc. of WWW 2007 (2007)