Who is involved?: Semantic search for E-Discovery

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

Who is involved? Semantic search for E-Discovery

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

CREATE-IT APPLIED RESEARCH

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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
Title of host publication	DESI VI workshop at ICAIL, University of San Diego, California
Publication status	Published - Jun 2015

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@inproceedings{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 andidentity extraction from digital forensic evidence.",

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

year = "2015",

month = jun,

language = "English",

booktitle = "DESI VI workshop at ICAIL, University of San Diego, California",

}

TY - GEN

T1 - Who is involved?

T2 - Semantic search for E-Discovery

AU - Henseler, Hans

AU - van Dijk, D.V.

AU - Graus, David

AU - Ren, Zhaochun

AU - de Rijke, Maarten

PY - 2015/6

Y1 - 2015/6

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 andidentity 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 andidentity extraction from digital forensic evidence.

M3 - Conference contribution

BT - DESI VI workshop at ICAIL, University of San Diego, California

ER -

Who is involved? Semantic search for E-Discovery

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