Ontology-based Information Extraction with a Cognitive Agent Peter Lindes1, Deryle Lonsdale, David Embley Brigham Young University AAAI 2015 1Now at University of Michigan © 2015 Peter Lindes 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 1 The Problem 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 2 Goals and Strategies • OntoSoar project goals – Extract genealogy facts from family history books – Project extracted information onto a conceptual model to populate a searchable database • Strategies – Use ideas from Embodied Construction Grammar – Use the Soar cognitive architecture – Integrate several levels of knowledge • Long term goals – Build computational models of human language processing – Apply these models to real-world applications 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 3 Example 1 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 4 A Simple Ontology has Charles Christopher Lathrop born on 1817 1/22/2015 AAAI 2015 - IE with a Cognitive Agent died on 1865 5 Example2 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 6 A More Complex Ontology Myra Harwood Feb. 13, 1874 Jonathan Squires J. Wilbur Squires 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 7 The Solution Thus, intelligence is the ability to bring to bear all the knowledge that one has in service of one’s goals. Newell (1990), p. 90 Conceptual Models World Knowledge Pragmatics Semantics Syntax Text Analysis Page Layout * 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 8 OntoSoar Architecture Soar Segmenter LG Parser Meaning Builder Link Grammar Grammar Constructions (16) (A total of 260 Soar productions) Conceptual Semantic Analyzer Mapper Inference Rules User Ontology (OSMX) PDF Tools Segment Rules (37) Text Segments Linkages Meaning Schemas Knowledge Structures Populated User Ontology (OSMX) Facts OntoES Tool Set 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 9 Construction Grammar Person Person LifeEvent LifeEvent Date Date Person Person LIFE-EVENT REF-EXPR 1/22/2015 LE-VERB SonOf SonOf Person Person SON-OF DATE REF-EXPR AAAI 2015 - IE with a Cognitive Agent son of REF-EXPR 10 Applying Constructions Charles Christopher Lathrop, N. Y. City, b. 1817, d. 1865, son of Mary Ely and Gerard Lathrop ; 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 11 … More Constructions Charles Christopher Lathrop, N. Y. City, b. 1817, d. 1865, son of Mary Ely and Gerard Lathrop ; SonOf SonOf Person Person Name 1/22/2015 Name AAAI 2015 - IE with a Cognitive Agent Person Name 12 Building Knowledge Charles Christopher Lathrop, N. Y. City, b. 1817, d. 1865, son of Mary Ely and Gerard Lathrop ; Person gender: M name: Gerard Lathrop birth: death: husband Couple married: child wife parents Person gender: F name: Mary Ely birth: death: Person gender: M name: Charles C. Lathrop birth: 1817 death: 1865 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 13 Knowledge Structures Compared Charles Christopher Lathrop, N. Y. City, b. 1817, d. 1865, son of Mary Ely and Gerard Lathrop ; … his widow married JONATHAN SQUIRES, who was born in Ohio, July 25, 1823, by whom she had one son, J. Wilbur, born June 16, 1865, 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 14 Results on Examples 1/22/2015 AAAI 2015 - IE with a Cognitive Agent 15 Data Accuracy for Test Data 120 100 80 60 40 20 0 CCL Myra OD1 OD2 OD3 Persons 1/22/2015 OD4 OD5 Births and Deaths OD6 OD7 Marriages OD8 OD9 OD10 OD11 OD12 Children AAAI 2015 - IE with a Cognitive Agent 16 Results on The Ely Ancestry a book of 830 pages, including our Example 1 1/22/2015 Item Type Instance Found Persons 16,848 Births 8,609 Deaths 2,406 Genders 1,674 Couples 3,343 Children 3,049 Total 35,929 AAAI 2015 - IE with a Cognitive Agent 17 Conclusions It works! … and, it could work a lot better. Contributions • Produces usable genealogy data from scanned books • Does this using: – Integration of several levels of knowledge – An adaptation of Embodied Construction Grammar – A cognitive architecture (Soar) 1/22/2015 Future Work • Integrate parsing with semantics • Develop a means to learn many new constructions • Adapt to varying book styles • Scale up to perform well on 100’s of thousands of books AAAI 2015 - IE with a Cognitive Agent 18
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