Entity Resolution of Apartment Property Using Neural Networks

DOI

Bibliographic Information

Other Title
  • ニューラルネットワークを利用した集合住宅の物件情報の名寄せ

Description

<p>Property information for apartment rooms must be linked to the correct apartment building to be used effectively. The work of aggregating property information belonging to the same building (entity resolution) is commonly executed by a rule-based process that statistically considers the similarity of attributes such as building name, number of floors, or year/month built. However, when property information is stored by room and registered by different businesses, the corresponding building information may be inconsistent, incomplete or inaccurate. Therefore, entity resolution using a rule-based method is insufficient and requires extensive manual post-processing. In this paper, we propose an entity resolution method for apartment properties using neural networks with inputs containing traditional property attributes as well as new attributes obtained from phonetic and semantic pre-processing of building names. The experimental results show that our proposed method improves entity resolution accuracy.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390566775142707968
  • NII Article ID
    130007856774
  • DOI
    10.11517/pjsai.jsai2020.0_1n5gs1303
  • ISSN
    27587347
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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