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1
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2
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- Filters / categorizes / tags news content
- Manages massive information flow
- Based on Thesaurus Master and M.A.I.
- Specialized thesaurus
- Specialized rulebase
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3
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- Broad and general subject matter
- Reflects coverage of typical news publications
- Over 5200 terms, nine levels deep
- Six top level categories
- Geographic terms
- Starter vocabulary
- Easily adapted and customized
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4
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5
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- M.A.I. rulebase customized for news topics
- Words in text trigger M.A.I. rules
- Conditions in rules determine precise taxonomy term(s) to apply
- Rules capture human knowledge and analysis
- Rules use context to distinguish between homographs
- Chicago Bears
- Bear market
- Bears in the woods
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6
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7
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8
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- M.A.I. suggests terms as directed by rules
- Index with most specific appropriate terms
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9
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- No filtering yields ALL terms that meet conditions of M.A.I. rules
- Editor has option to select/reject and add terms
- Most specific appropriate term – as chosen by editor – is saved with the
document
- Subject metadata
- XML format
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10
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11
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12
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- Roll up terms to the second or third level in your taxonomy
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13
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14
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15
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16
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17
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- Index comprehensively and retain details
- BUT
- Display only general terms for end user
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18
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19
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20
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- Common words used with very different meanings in different contexts
- Utilities –
- electricity / water / sewer?
- utility software?
- Architecture –
- of buildings?
- of computer systems?
- M.A.I. rule conditions differentiate concepts
- Information Architect doesn’t want to retrieve building blueprints
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21
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- User expresses interest in general topics
- e.g., Technology, Environment, Law
- Materials indexed with those topics or any or their Narrower Terms are
forwarded
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22
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- International Press Telecommunications Council (IPTC) proposal for
NewsCodes
- Part of News Industry Text Format (NITF)
- ~1300 terms describe topics of news articles
- Broad coverage (heavy on sports)
- NewsIndexer rulebase can apply detailed
- NewsIndexer terms and/or IPTC NewsCodes
- Comply with growing news standards
- Achieve greater detail for news indexing
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23
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- For the End User
- Simpler, more manageable presentation of concepts
- Consistent with typical user’s search strategy
- Differentiated concepts associated with homographs
- Targeted information according to user profile
- For the Internal User
- Documents retain subject metadata reflecting granular indexing
- Precision search gets precision results
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24
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