Who is Involved?: Semantic Search for E-Discovery

David van Dijk; David Graus; Zhaochun Ren; Hans Henseler; Maarten de Rijke

Who is Involved? Semantic Search for E-Discovery

David van Dijk, David Graus, Zhaochun Ren, Hans Henseler, Maarten de Rijke

CREATE-IT APPLIED RESEARCH

Research output: Contribution to conference › Paper › Academic

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Abstract

E-discovery projects typically start with an assessment of the collected electronic data in order to estimate the risk to prosecute or defend a legal case. This is not a review task but is appropriately called early case assessment, which is better known as exploratory search in the information retrieval community. This paper first describes text mining methodologies that can be used for enhancing exploratory search. Based on these ideas we present a semantic search dashboard that includes entities that are relevant to investigators such as who knew who, what, where and when. We describe how this dashboard can be powered by results from our ongoing research in the “Semantic Search for E-Discovery” project on topic detection and clustering, semantic enrichment of user profiles, email recipient recommendation, expert finding and identity extraction from digital forensic evidence.

Original language	English
Number of pages	6
Publication status	Published - 8 Jun 2015
Event	Workshop on Using Machine Learning and Other Advanced Techniques to Address Legal Problems in E-Discovery and Information Governance (DESI VI Workshop) - San Diego, United States Duration: 8 Jun 2015 → 8 Jun 2015

Workshop

Workshop	Workshop on Using Machine Learning and Other Advanced Techniques to Address Legal Problems in E-Discovery and Information Governance (DESI VI Workshop)
Abbreviated title	ICAIL 2015
Country/Territory	United States
City	San Diego
Period	8/06/15 → 8/06/15

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van Dijk, D., Graus, D., Ren, Z., Henseler, H., & de Rijke, M. (2015). Who is Involved? Semantic Search for E-Discovery. Paper presented at Workshop on Using Machine Learning and Other Advanced Techniques to Address Legal Problems in E-Discovery and Information Governance
(DESI VI Workshop), San Diego, California, United States. https://users.umiacs.umd.edu/~oard/desi6/

@conference{ca6a56c3d65640b9abc761c7dd7cef48,

title = "Who is Involved?: Semantic Search for E-Discovery",

abstract = "E-discovery projects typically start with an assessment of the collected electronic data in order to estimate the risk to prosecute or defend a legal case. This is not a review task but is appropriately called early case assessment, which is better known as exploratory search in the information retrieval community. This paper first describes text mining methodologies that can be used for enhancing exploratory search. Based on these ideas we present a semantic search dashboard that includes entities that are relevant to investigators such as who knew who, what, where and when. We describe how this dashboard can be powered by results from our ongoing research in the “Semantic Search for E-Discovery” project on topic detection and clustering, semantic enrichment of user profiles, email recipient recommendation, expert finding and identity extraction from digital forensic evidence.",

keywords = "E-discovery, Exploratory search, Entity extraction, Text mining, Semantic search, Technology assisted review, Early case assessment",

author = "{van Dijk}, David and David Graus and Zhaochun Ren and Hans Henseler and {de Rijke}, Maarten",

year = "2015",

month = jun,

day = "8",

language = "English",

note = "Workshop on Using Machine Learning and Other Advanced Techniques to Address Legal Problems in E-Discovery and Information Governance<br/>(DESI VI Workshop), ICAIL 2015 ; Conference date: 08-06-2015 Through 08-06-2015",

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van Dijk, D, Graus, D, Ren, Z, Henseler, H & de Rijke, M 2015, 'Who is Involved? Semantic Search for E-Discovery', Paper presented at Workshop on Using Machine Learning and Other Advanced Techniques to Address Legal Problems in E-Discovery and Information Governance
(DESI VI Workshop), San Diego, United States, 8/06/15 - 8/06/15. <https://users.umiacs.umd.edu/~oard/desi6/>

Who is Involved? Semantic Search for E-Discovery. / van Dijk, David; Graus, David; Ren, Zhaochun et al.
2015. Paper presented at Workshop on Using Machine Learning and Other Advanced Techniques to Address Legal Problems in E-Discovery and Information Governance
(DESI VI Workshop), San Diego, California, United States.

Research output: Contribution to conference › Paper › Academic

TY - CONF

T1 - Who is Involved?

T2 - Workshop on Using Machine Learning and Other Advanced Techniques to Address Legal Problems in E-Discovery and Information Governance<br/>(DESI VI Workshop)

AU - van Dijk, David

AU - Graus, David

AU - Ren, Zhaochun

AU - Henseler, Hans

AU - de Rijke, Maarten

PY - 2015/6/8

Y1 - 2015/6/8

N2 - E-discovery projects typically start with an assessment of the collected electronic data in order to estimate the risk to prosecute or defend a legal case. This is not a review task but is appropriately called early case assessment, which is better known as exploratory search in the information retrieval community. This paper first describes text mining methodologies that can be used for enhancing exploratory search. Based on these ideas we present a semantic search dashboard that includes entities that are relevant to investigators such as who knew who, what, where and when. We describe how this dashboard can be powered by results from our ongoing research in the “Semantic Search for E-Discovery” project on topic detection and clustering, semantic enrichment of user profiles, email recipient recommendation, expert finding and identity extraction from digital forensic evidence.

AB - E-discovery projects typically start with an assessment of the collected electronic data in order to estimate the risk to prosecute or defend a legal case. This is not a review task but is appropriately called early case assessment, which is better known as exploratory search in the information retrieval community. This paper first describes text mining methodologies that can be used for enhancing exploratory search. Based on these ideas we present a semantic search dashboard that includes entities that are relevant to investigators such as who knew who, what, where and when. We describe how this dashboard can be powered by results from our ongoing research in the “Semantic Search for E-Discovery” project on topic detection and clustering, semantic enrichment of user profiles, email recipient recommendation, expert finding and identity extraction from digital forensic evidence.

KW - E-discovery

KW - Exploratory search

KW - Entity extraction

KW - Text mining

KW - Semantic search

KW - Technology assisted review

KW - Early case assessment

M3 - Paper

Y2 - 8 June 2015 through 8 June 2015

ER -