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InfoScout: An Interactive, Entity Centric, Person Search Tool

Published: 07 July 2016 Publication History

Abstract

Individuals living in highly networked societies publish a large amount of personal, and potentially sensitive, information online. Web investigators can exploit such information for a variety of purposes, such as in background vetting and fraud detection. However, such investigations require a large number of expensive man hours and human effort. This paper describes InfoScout, a search tool which is intended to reduce the time it takes to identify and gather subject centric information on the Web. InfoScout collects relevance feedback information from the investigator in order to re-rank search results, allowing the intended information to be discovered more quickly. Users may still direct their search as they see fit, issuing ad-hoc queries and filtering existing results by keywords. Design choices are informed by prior work and industry collaboration.

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Cited By

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  • (2020)Domain-Specific Search Engines for Investigating Human Trafficking and Other Illicit ActivitiesEncyclopedia of Criminal Activities and the Deep Web10.4018/978-1-5225-9715-5.ch033(478-496)Online publication date: 2020
  • (2020)Systematic Literature Review to Investigate the Application of Open Source Intelligence (OSINT) with Artificial IntelligenceJournal of Applied Security Research10.1080/19361610.2020.176173716:3(345-369)Online publication date: 7-May-2020
  • (2017)EVELINProceedings of the 26th International Conference on World Wide Web Companion10.1145/3041021.3054721(273-277)Online publication date: 3-Apr-2017

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cover image ACM Conferences
SIGIR '16: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
July 2016
1296 pages
ISBN:9781450340694
DOI:10.1145/2911451
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2016

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Author Tags

  1. entity search
  2. open-source intelligence
  3. people searching
  4. professional search
  5. web investigation

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SIGIR '16
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SIGIR '16 Paper Acceptance Rate 62 of 341 submissions, 18%;
Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all
  • (2020)Domain-Specific Search Engines for Investigating Human Trafficking and Other Illicit ActivitiesEncyclopedia of Criminal Activities and the Deep Web10.4018/978-1-5225-9715-5.ch033(478-496)Online publication date: 2020
  • (2020)Systematic Literature Review to Investigate the Application of Open Source Intelligence (OSINT) with Artificial IntelligenceJournal of Applied Security Research10.1080/19361610.2020.176173716:3(345-369)Online publication date: 7-May-2020
  • (2017)EVELINProceedings of the 26th International Conference on World Wide Web Companion10.1145/3041021.3054721(273-277)Online publication date: 3-Apr-2017

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