An efficient methodology for resolving uncertain spatial references in text documents
- Title
- An efficient methodology for resolving uncertain spatial references in text documents
- Creator
- Raja K.; Kanagavalli V.R.; Nizar Banu P.K.; Kannan K.
- Description
- In recent decades, all the documents maintained by the industries are getting transformed into soft copies in either structured documents or as an e-copies. In text document processing, there is a number of ways available to extract the raw data. As the accuracy in finding the spatial data is crucial, this domain invites various research solutions that provide high accuracy. In this article, the Fuzzy Extraction, Resolving, and Clustering (FERC) architecture is proposed which uses fuzzy logic techniques to identify and cluster uncertain textual spatial reference. When the text corpus is queried with a spatial-keyword, FERC returns a set of relevant documents sorted in view of the fuzzy pertinence score. Any two documents may be compared in light of the spatial references that exist in them and their fuzzy similarity score is presented. This enables finding the degree to which the two documents speak about a specified location. The proposed architecture provides a better result set to the user, unlike a Boolean search where the document is either rated relevant or irrelevant. Copyright 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
- Source
- International Journal of Service Science, Management, Engineering, and Technology, Vol-11, No. 3, pp. 1-17.
- Date
- 2020-01-01
- Publisher
- IGI Global
- Subject
- Fuzzy Extraction Resolving and Clustering; Fuzzy Logic; Information Retrieval; Spatial Uncertainty
- Coverage
- Raja K., Dhaanish Ahmed College of Engineering, Chennai, India; Kanagavalli V.R., Sri Sai Ram Engineering College, Chennai, India; Nizar Banu P.K., Christ University (Deemed), Bangalore, India; Kannan K., Audisankara College of Engineering and Technology, Nellore, India
- Rights
- Restricted Access
- Relation
- ISSN: 1947959X
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Raja K.; Kanagavalli V.R.; Nizar Banu P.K.; Kannan K., “An efficient methodology for resolving uncertain spatial references in text documents,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/16304.