Automatic Document Mapping and Relations Building Using Domain Ontology-Based Lexical Chains

1. AGROVOC Thesaurus, FAO (2007), http://www.fao.org/aims/ag_intro.htm

2. Yu, L., Ma, J., Ren, F., Kuroiwa, S.: Automatic Text Summarization based on Lexical Chains and Structural Features, pp. 574–578. IEEE Computer Society, Los Alamitos (2007)

   Google Scholar 

3. Chen, Y., Wang, X., Liu, B.: Multi-Document Summarization based on Lexical Chains, pp. 1937–1942. IEEE Computer Society, Los Alamitos (2005)

   Google Scholar 

4. Indian Council for Agricultural Research: Handbook of Agriculture. Indian Council of Agricultural Research, New Delhi (2006)

   Google Scholar 

5. Angrosh, M.A., Urs, S.R.: Development of Indian Agricultural Research Ontology: Semantic rich relations based information retrieval system for Vidyanidhi Digital Library. In: Goh, D.H.-L., Cao, T.H., Sølvberg, I.T., Rasmussen, E. (eds.) ICADL 2007. LNCS, vol. 4822, pp. 400–409. Springer, Heidelberg (2007)

   Chapter  Google Scholar 

6. Sirin, E., Parsia, B., Grau, B.C., Kalyanpur, A., Katz, Y.: Pellet: A practical OWL-DL Reasoner. Web Semantics: Science, Services and Agents on the World Wide Web 5, 51–53 (2007)

   Article  Google Scholar 

7. Wordnet: A lexical database for the English language (2006), http://wordnet.princeton.edu/

8. Roget’s Thesaurus – Electronic Lexical Knowledge Base (ELKB), http://www.nzdl.org/ELKB/

9. Morris, J., Hirst, G.: The Subjectivity of Lexical Cohesion in Text. In: Shanahan, J., et al. (eds.) Computing Attitude and Affect in Text, pp. 41–48. Springer, Berlin (2004)

   Google Scholar 

Download references