Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An efficient methodology for resolving uncertain spatial references in text documents Subject The topic of the resource Fuzzy Extraction Resolving and Clustering; Fuzzy Logic; Information Retrieval; Spatial Uncertainty Description An account of the resource 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. Creator An entity primarily responsible for making the resource Raja K.; Kanagavalli V.R.; Nizar Banu P.K.; Kannan K. Source A related resource from which the described resource is derived International Journal of Service Science, Management, Engineering, and Technology, Vol-11, No. 3, pp. 1-17. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/IJSSMET.2020070101" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/IJSSMET.2020070101</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086916326&amp;doi=10.4018%2FIJSSMET.2020070101&amp;partnerID=40&amp;md5=42c563d7eeab69fa44b464df8eed1300" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086916326&amp;doi=10.4018%2fIJSSMET.2020070101&amp;partnerID=40&amp;md5=42c563d7eeab69fa44b464df8eed1300</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1947959X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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