APPLICATION OF NATURAL LANGUAGE PARSING FOR IDENTIFYING NON-SURVEYED BOUNDARIES TOWARDS ENHANCED SYSTEMATIC LAND TITLING: RESULTS FROM PRELIMINARY EXPERIMENT

Author:

Odumosu Joseph O.1ORCID,Nnam Victor C.2,Kemiki Olurotimi A.3,Abubarkar Abdulkadir4,Oyebanji Michael A.5ORCID,Babalola Sunday O.6

Affiliation:

1. Department of Surveying and Geoinformatics, Federal University of Technology, Minna, Nigeria; Department of Surveying and Geoinformatics, Federal University, Oye Ekiti, Nigeria

2. Department of Surveying and Geoinformatics, Enugu State University of Technology, Nssuka, Nigeria

3. Department of Estate Management and Valuation, Federal University of Technology, Minna, Nigeria

4. Department of Computer Science, Federal University of Technology, Minna, Nigeria

5. Department of Surveying and Geoinformatics, Federal University of Technology, Minna, Nigeria

6. Department of Surveying and Geoinformatics, Federal University, Oye Ekiti, Nigeria

Abstract

The need for the adoption of systematic land titling (SLT) in Nigeria cannot be overemphasised. Nonetheless, the problems of speed and cost of geospatial data acquisition, as well as identification of non-surveyed boundaries, remain unresolved, impeding the effectiveness of SLT for non-surveyed boundaries. The integration of language into Artificial Intelligence (AI) has allowed Natural Language Parsing (NLP) to effectively serve as a tool for communication between humans and computer systems. This study presents preliminary results of testing a prototype application that utilises NLP to convert textual descriptions into graphic sketches as a tool towards the production of a-priori sketches that can aid SLT in non-surveyed boundaries. The study determines that NLP alone cannot be used to achieve the required accuracy in geospatial data for SLT; however, the study concludes that NLP can be integrated alongside other ancillary information to enhance SLT in peri-urban regions.

Publisher

Vilnius Gediminas Technical University

Subject

General Earth and Planetary Sciences

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