NDLI: Temporal Reconciliation for Dating Photographs Using Entity Information

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Content Provider	ACM Digital Library
Author	Martin, Paul Doucet, Antoine Spaniol, Marc
Abstract	Temporal classification of Web contents requires a "notion" about them. This is particularly relevant when contents contain several dates and a human "interpretation" is required in order to chose the appropriate time point. The dating challenge becomes even more complex, when images have to be dated based on the content describing them. In this paper, we present a novel time-stamping approach based on semantics derived from the document. To this end, we will first introduce our experimental dataset and then explain our temporal reconciliation pipeline. In particular, we will explain the process of temporal reconciliation by incorporating information derived from named entities.
Starting Page	39
Ending Page	41
Page Count	3
File Format	PDF
ISBN	9781450337908
DOI	10.1145/2810133.2810142
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-10-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Entity analytics Temporal web analytics
Content Type	Text
Resource Type	Article

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
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Temporal Reconciliation for Dating Photographs Using Entity Information