CRISOL: An approach for automatically populating semantic web from unstructured text collections

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

Volumn 3180, Issue , 2004, Pages 243-252

  Danger, Roxana ^a   Berlanga, Rafael ^b   Ruíz Shulcloper, José ^c  

^a UNIVERSIDAD DE ORIENTE   (Cuba)

^b UNIVERSITAT JAUME I   (Spain)

^c INSTITUTO DE CIBERNÉTICA   (Cuba)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; DATA MINING; EXPERT SYSTEMS; WEBSITES; WORLD WIDE WEB;

ENTITY RECOGNITION; HTML PAGES; INFORMATION EXTRACTION TECHNIQUES; INFORMATION MERGING; PLAIN TEXT; TEXT MINING TECHNIQUES; UNSTRUCTURED DOCUMENTS; UNSTRUCTURED TEXTS;

SEMANTIC WEB;

EID: 35048868515     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30075-5_24     Document Type: Article

References (8)

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3. Doan, A. et al. "Learning to match ontologies on the Semantic Web". VLDB Journal 12(4), pp. 303-319, 2003.
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5. Llidó, D.M., Berlanga, R., Aramburu, M.J. "Extracting Temporal References to Assign Document Event-Time Periods". DEXA 2001, pp. 62-71, 2001.
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7. Danger, R.M., Berlanga, R., Ruiz-Shulcloper, J. "Text Mining using the Hierarchical Syntactical Structure of Documents". X Conferencia de la Asociacion Española para la Inteligencia Artificial (CAEPIA 2003), pp. 139-14, 2003.
8. Dirección General del Patrimonio Artístico. http://www.cult.gva.es/dgpa/