I2 Analyst's Notebook 7 User Guide - ISS Africa -Investigation ...

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Appendix B: The i2 Semantic Approach Property Semantic Types In the table above, the Person First Name property semantic type is assigned to the Forename, Name and First Name fields in the three data sources. Regardless of the name of the fields, power2 applications can understand how the data is to be interpreted. By assigning semantic types to the fields, the data in all three data sources is aligned to the meaning of the semantic type. This is referred to as horizontal alignment, as the data is aligned across the various data sources. Horizontal alignment also applies to single data sources, such as an iBase database, where felons, victims, and informants could be entity types within the data source. 356 i2 Analyst’s Notebook 7 User Guide: Customizing & Analyzing Felons Victims Informants Person First Name Forename Name First Name Person Last Name Surname Last Name Gender Male/Female M/F Sex Date of Birth Birth Date DOB Date of Birth Marital Status Marital Status Married Nationality Social Security Number SSN Soc Zip Code Phone Number Phone Number Nationality Zip Code Telephone Number
What is vertical alignment? Appendix B: The i2 Semantic Approach The i2 Semantic Type Library structures semantic types into families of like semantic types, in a child/parent relationship. The structure of the semantic types is used to show that certain entities are related, just as they are in the real world. For example, cars, motorcycles and trucks can all be classified as vehicles, therefore the Bus, Car, Motorcycle and Truck semantic types belong to the Motor Vehicle family of semantic types. An entity that is assigned the Car semantic type is vertically aligned with an entity that is assigned the Motor Vehicle semantic type, because it is assigned a semantic type that is part of the Motor Vehicle family of semantic types. Vertical alignment is particularly useful for grouping, and searching for, similar real-world objects. For example: • The Semantic Path analysis attribute in Analyst’s Notebook uses vertical alignment to group similar real-world objects together for analysis • Queries with semantic conditions in iBase use vertical alignment to group similar real-world objects together for querying (in SQL Server databases only) Vertical alignment also applies to links and attribute classes or fields. i2 Analyst’s Notebook 7 User Guide: Customizing & Analyzing 357
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i2 Analyst’s Notebook 7 Customizi
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Contents About This Guide 7 Getting
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Contents 8: Merging Charts 209 Intr
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About This Guide Intended audience
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Conventions Chapter 11, Temporal An
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Other i2 publications Analyst’s N
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Getting Started This chapter introd
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Using this guide • i2 Analyst’s
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Using the online help Getting Start
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Defining Types 1 This example expla
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Chapter 1: Defining Types Defining
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Chapter 1: Defining Types Assigning
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How do I assign a semantic type to
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Chapter 1: Defining Types Defining
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Dan BUXHAM Sample 1: Heroin 2. Clic
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Data types An attribute class can h
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7 Analyzing a Chart by Sorting Item
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Merging Charts 8 This example expla
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Basic Searching 9 This example expl
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9931-1291 TownCorp UK 7811-2371 510
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Page 341 and 342: A Features used in the Examples Thi
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Page 351 and 352: Entity semantic types Appendix B: T
Page 353 and 354: Semantic Types Database fields Pers
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Page 367 and 368: Glossary Abstract Semantic Type A n
Page 369 and 370: Attribute Glossary A piece of infor
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Page 377 and 378: External Data Information that has
Page 379 and 380: Import Manager The tool used to run
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Page 385 and 386: Report Glossary A textual descripti
Page 387 and 388: Semantics Glossary The way in which
Page 389 and 390: Text File Glossary Any file contain
Page 391 and 392: Wiring Segment Glossary The length
Page 393 and 394: Index A Adding See also Defining at
Page 395 and 396: Copying See also Duplicating from L
Page 397 and 398: G Grades defining 65, 66 source typ
Page 399 and 400: Ordering See also Sorting entity ty
Page 401 and 402: Semantic types 22, 25, 31, 38, 350
Page 403: www.i2group.com Part Number: 1312
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