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- Publisher Website: 10.1007/978-3-319-24123-4_4
- Scopus: eid_2-s2.0-84951847223
- WOS: WOS:000364655200004
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Conference Paper: An information extraction framework for forensic investigations
Title | An information extraction framework for forensic investigations |
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Authors | |
Keywords | Information extraction Named entity recognition Relation extraction |
Issue Date | 2015 |
Publisher | Springer New York LLC. The Journal's web site is located at http://www.springer.com/series/6102 |
Citation | The 11th Annual IFIP WG 11.9 International Conference on Digital Forensics (Advances in Digital Forensics XI), Orlando, FL., 26-28 January 2015. In IFIP Advances in Information and Communication Technology, 2015, v. 462, p. 61-76 How to Cite? |
Abstract | The pervasiveness of information technology has led to an explosion of evidence. Attempting to discover valuable information from massive collections of documents is challenging. This chapter proposes a two-phase information extraction framework for digital forensic investigations. In the first phase, a named entity recognition approach is applied to the collected documents to extract names, locations and organizations; the named entities are displayed using a visualization system to assist investigators in finding coherent evidence rapidly and accurately. In the second phase, association rule mining is performed to identify the relations existing between the extracted named entities, which are then displayed. Examples include person-affiliation relations and organization-location relations. The effectiveness of the framework is demonstrated using the well-known Enron email dataset. |
Description | This series vol. entitled: Advances in Digital Forensics XI: 11th IFIP WG 11.9 International Conference, Orlando, FL, USA, January 26–28, 2015, Revised Selected Papers |
Persistent Identifier | http://hdl.handle.net/10722/219238 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 0.242 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yang, M | - |
dc.contributor.author | Chow, KP | - |
dc.date.accessioned | 2015-09-18T07:18:31Z | - |
dc.date.available | 2015-09-18T07:18:31Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | The 11th Annual IFIP WG 11.9 International Conference on Digital Forensics (Advances in Digital Forensics XI), Orlando, FL., 26-28 January 2015. In IFIP Advances in Information and Communication Technology, 2015, v. 462, p. 61-76 | - |
dc.identifier.isbn | 978-3-319-24122-7 | - |
dc.identifier.issn | 1868-4238 | - |
dc.identifier.uri | http://hdl.handle.net/10722/219238 | - |
dc.description | This series vol. entitled: Advances in Digital Forensics XI: 11th IFIP WG 11.9 International Conference, Orlando, FL, USA, January 26–28, 2015, Revised Selected Papers | - |
dc.description.abstract | The pervasiveness of information technology has led to an explosion of evidence. Attempting to discover valuable information from massive collections of documents is challenging. This chapter proposes a two-phase information extraction framework for digital forensic investigations. In the first phase, a named entity recognition approach is applied to the collected documents to extract names, locations and organizations; the named entities are displayed using a visualization system to assist investigators in finding coherent evidence rapidly and accurately. In the second phase, association rule mining is performed to identify the relations existing between the extracted named entities, which are then displayed. Examples include person-affiliation relations and organization-location relations. The effectiveness of the framework is demonstrated using the well-known Enron email dataset. | - |
dc.language | eng | - |
dc.publisher | Springer New York LLC. The Journal's web site is located at http://www.springer.com/series/6102 | - |
dc.relation.ispartof | IFIP Advances in Information and Communication Technology | - |
dc.rights | The final publication is available at Springer via http://dx.doi.org/[insert DOI] | - |
dc.subject | Information extraction | - |
dc.subject | Named entity recognition | - |
dc.subject | Relation extraction | - |
dc.title | An information extraction framework for forensic investigations | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Chow, KP: kpchow@hkucc.hku.hk | - |
dc.identifier.authority | Chow, KP=rp00111 | - |
dc.identifier.doi | 10.1007/978-3-319-24123-4_4 | - |
dc.identifier.scopus | eid_2-s2.0-84951847223 | - |
dc.identifier.hkuros | 255007 | - |
dc.identifier.volume | 462 | - |
dc.identifier.spage | 61 | - |
dc.identifier.epage | 76 | - |
dc.identifier.isi | WOS:000364655200004 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 151118 | - |
dc.identifier.issnl | 1868-4238 | - |