Computer Science ›› 2020, Vol. 47 ›› Issue (12): 131-138.doi: 10.11896/jsjkx.191000161

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Extraction of Water Conservancy Spatial Relationship Words Based on Bootstrapping

XIANG Ying, FENG Jun, XIA Pei-pei, LU Jia-min   

  1. College of Computer and Information Hohai University Nanjing 211100,China
  • Received:2019-10-24 Revised:2020-03-20 Online:2020-12-15 Published:2020-12-17
  • About author:XIANG Ying,born in 1995postgra-duateis a member of China Computer Federation.Her main research interests include relation extraction and so on.
    FENG Jun,born in 1969Ph.DprofessorPh.D supervisoris a member of China Computer Federation.Her main research interests include spatiotemporal data managementintelligent data processingdata mining and water conservancy informatization.
  • Supported by:
    National Key R&D Program of China(2018YFC0407901),Young Scientists Fund of the National Natural Science Foundation of China(61602151) and Jiangsu Collaborative Innovation Center for Cultural Creativity(XYN1702).

Abstract: At presentthe following problems are found in the extraction of water conservancy spatial relational words in the process of using water conservancy domain database to construct knowledge map.Firstthere are few water conservancy object spatial relational words in the databasewhich is difficult to meet the needs of query.Secondthe relationship between water conservancy objects is complex and it is too laborious to rely on manual construction.In order to solve the above problemsfirstlythis paper extracts spatial relation words from professional high-quality water conservancy official documents to form seed sets.Thenit expands spatial relationship words through external dictionariesand combines corpus to extract water-related spatial relationship words Syntactic pattern.Finallythrough the generalized syntactic patternspatial relation words are extracted from large-scale water conservancy text dataspatial relationship triples are generatedand then used as seed sets.Repeating the above steps can gradually expand and construct water resources.This method can obtain a large number of spatial semantic syntactic patterns and spatial relationship tuples from the corpus with a small amount of manual operationsgradually expand the construction and eventually form a dictionary of water conservancy spatial relationship words.The word dictionary plays an important role in expanding the knowledge map of water conservancy objects and improving the accuracy of intelligent retrieval.

Key words: Relationship extraction, Water conservancy field, Spatial relationship, Knowledge graph

CLC Number: 

  • TP391.1
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