000 04576nam a22004935i 4500
001 978-90-481-8990-8
003 DE-He213
005 20140220083337.0
007 cr nn 008mamaa
008 120615s2012 ne | s |||| 0|eng d
020 _a9789048189908
_9978-90-481-8990-8
024 7 _a10.1007/978-90-481-8990-8
_2doi
050 4 _aHV6001-7220.5
072 7 _aJKV
_2bicssc
072 7 _aSOC004000
_2bisacsh
082 0 4 _a364
_223
100 1 _aNissan, Ephraim.
_eauthor.
245 1 0 _aComputer Applications for Handling Legal Evidence, Police Investigation and Case Argumentation
_h[electronic resource] /
_cby Ephraim Nissan.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2012.
300 _aLXXXVIII, 1340 p. 580 illus., 135 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLaw, Governance and Technology Series ;
_v5
505 0 _aAbstract -- Preface (by John Zeleznikow) -- Foreword -- Acknowledgement -- Dedication -- Call for Information -- 1.  A Preliminary Historical Perspective -- 2.  Models of Forming an Opinion -- 3.  Argumentation -- 4.  Computer Assistance for, or Insights into, Organisational Aspects -- 5.  The Narrative Dimension -- 6.  Accounting for Social, Spatial, and Textual Interconnections -- Link Analysis and Data Mining for Criminal Investigation -- 7.  FLINTS, a Tool for Police Investigation and Intelligence Analysis; Richard Leary -- 8.  The Forensic Disciplines: Some Areas of Actual or Potential Application -- 9.   Virtopsy: The Virtual Autopsy; Lars C. Ebert, Thomas Ruder, David Zimmermann, Stefan Zuber, Ursula Buck, Antoine Roggo, Michael Thali, Gary Hatch -- 10.  Concluding Remarks -- Glossary -- Cited  References -- index.
520 _aThis book provides an overview of computer techniques and tools — especially from artificial intelligence (AI) — for handling legal evidence, police intelligence, crime analysis or detection, and forensic testing, with a sustained discussion of methods for the modelling of reasoning and forming an opinion about the evidence, methods for the modelling of argumentation, and computational approaches to dealing with legal, or any, narratives. By the 2000s, the modelling of reasoning on legal evidence has emerged as a significant area within the well-established field of AI & Law. An overview such as this one has never been attempted before. It offers a panoramic view of topics, techniques and tools. It is more than a survey, as topic after topic, the reader can get a closer view of approaches and techniques. One aim is to introduce practitioners of AI to the modelling legal evidence. Another aim is to introduce legal professionals, as well as the more technically oriented among law enforcement professionals, or researchers in police science, to information technology resources from which their own respective field stands to benefit. Computer scientists must not blunder into design choices resulting in tools objectionable for legal professionals, so it is important to be aware of ongoing controversies. A survey is provided of argumentation tools or methods for reasoning about the evidence. Another class of tools considered here is intended to assist in organisational aspects of managing of the evidence. Moreover, tools appropriate for crime detection, intelligence, and investigation include tools based on link analysis and data mining. Concepts and techniques are introduced, along with case studies. So are areas in the forensic sciences. Special chapters are devoted to VIRTOPSY (a procedure for legal medicine) and FLINTS (a tool for the police). This is both an introductory book (possibly a textbook), and a reference for specialists from various quarters.
650 0 _aSocial sciences.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aCriminology.
650 1 4 _aSocial Sciences.
650 2 4 _aCriminology & Criminal Justice.
650 2 4 _aComputer Applications.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputer Science, general.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789048189892
830 0 _aLaw, Governance and Technology Series ;
_v5
856 4 0 _uhttp://dx.doi.org/10.1007/978-90-481-8990-8
912 _aZDB-2-SHU
999 _c104228
_d104228