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Semi-automatic Fact Extraction and Organization of Persons in Genealogical Records

Semi-automatic Fact Extraction and Organization of Persons in Genealogical Records. Joseph Park Brigham Young University. Fact Extraction. Extraction ontology Object identity resolution. Extraction Ontology. Recognizers. b([1][6-9]dd)b

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Semi-automatic Fact Extraction and Organization of Persons in Genealogical Records

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  1. Semi-automatic Fact Extraction and Organization of Persons in Genealogical Records Joseph Park Brigham Young University

  2. Fact Extraction • Extraction ontology • Object identity resolution

  3. Extraction Ontology

  4. Recognizers \b([1][6-9]\d\d)\b \b{Month}\.?\s*(1\d|2\d|30|31|\d)[.,]?\s*(\d\d\d\d)\b Date recognizers {Person}[.,]?.{0,50}\s*b[.,]?\s*{Birthdate} Person-Birthdate recognizer {Son}[.,]?.{0,50}\s*[sS]on\s+of\s*.*?\s*{Person} Son-Person recognizer {Person}[.,]?.{0,50};\s*m[.,]\s*{MarriageDate}[,]?\s*{Spouse} Person-Marriagedate-Spouse recognizer

  5. Example

  6. Canonicalization

  7. Object Identity Resolution

  8. Fact Organization • Schema mapping • Logic rules • Entity resolution

  9. Schema Mapping Extraction Ontology View of genealogist

  10. Example

  11. Example

  12. Logic Rules • Morphology • Onomastics • Cultural pragmatics

  13. Morphology male female

  14. Onomastics

  15. Cultural Pragmatics

  16. Entity Resolution

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