NDLI: Semantic place localization from narratives

Please wait, while we are loading the content...

Identification of structural landmarks in a park using movement data collected in a location-based game

Extracting Semantics of Individual Places from Movement Data by Analyzing Temporal Patterns of Visits

Semantic place localization from narratives

A Framework for Discriminative Polygonal Place Scoping

Identifying Spatial Structure of Urban Functional Centers Using Travel Survey Data: A Case Study of Singapore

A method of Area of Interest and Shooting Spot Detection using Geo-tagged Photographs

Towards Platial Joins and Buffers in Place-Based GIS

A rule-based genetic algorithm for mapping route descriptions towards map representations

A Comparison of String Similarity Measures for Toponym Matching

Extracting Spatial Information From Place Descriptions

Semantic place localization from narratives

Content Provider	ACM Digital Library
Abstract	Place narratives provide a rich resource of learning how humans localize places. Place localization can be done in various ways, relative to other spatial referents, and relative to agents and their activities in which these referents may be involved. How can we describe places based on their spatial and semantic relationships to objects, qualities, and activities? How can these relations help us improve automated localization of places implicit in textual descriptions? In this paper, we motivate research on extraction of semantic place localization statements from text corpora which can be used for improving document retrieval and for reconstructing locations. The idea is to combine Semantic Web reasoning with existing geographic information retrieval (GIR) and structural text extraction for this purpose. GIR and Semantic Web technology have matured during the last years, but still largely exist in parallel. Current localization approaches have been focusing on the extraction of unstructured word lists from texts, including toponyms and geographic features, not on human place descriptions on a sentence level.
Starting Page	16
Ending Page	19
Page Count	4
File Format	PDF
ISBN	9781450325356
DOI	10.1145/2534848.2534858
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Text extraction Text corpora Semantic place descriptions Place localization
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in