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Concept Maps Construction Based on Exhaustive Rules and Vector Space Intersection


Josiel C. Reis,Antonio S. C. Gaia, Raimundo Viegas Jr.


Vol. 14  No. 7  pp. 26-31


This paper presents an alternative automatic method for the tuple-fashioned extraction of concepts and their binding elements aiming the construction of Concept Maps out of Brazilian Portuguese web texts, based on combined techniques of automatic generation of exhaustive syntactic rules, restricted-context part-of-speech tagging and vector space intersection. The results showed the proposed method automatically produces high-granularity propositions consequently elevating the semantic quality of the extracted binding elements. The method is able to discard the use of stemming techniques ? in the specific scenario ? before attributing weights to candidate terms


Concept Map, Text Mining, Natural Language Processing, Information Extraction.