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Build ontologies from texts and using them for IR

Build ontologies from texts and using them for IR. Josiane MOTHE Institut de Recherche en Informatique de Toulouse (IRIT). Ontology. Ontology: description at a conceptual level Concepts and their labels Semantic relationships Rules (inferences) Domain ontology In order to help

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Build ontologies from texts and using them for IR

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  1. Providing Intelligent Content - Pinar SENKUL - METU CENG Build ontologies from texts and using them for IR Josiane MOTHE Institut de Recherche en Informatique de Toulouse (IRIT)

  2. Providing Intelligent Content - Pinar SENKUL - METU CENG Ontology • Ontology: description at a conceptual level • Concepts and their labels • Semantic relationships • Rules (inferences) • Domain ontology • In order to help • Structuration • Access (direct or advanced information) to heterogeneous data • Issues • Build ontologies • Use them in applications Ontologies, text and IR , mothe@irit.fr

  3. Providing Intelligent Content - Pinar SENKUL - METU CENG Building ontologies • From texts • Term extraction • Relationship extraction (NLP-based) • Formalisation : OWL-Lite [w3c] • Enrich thesaurus when exist ISO 2788 - ANSI Z39 • used for ; more generic / more specific ; is-related to => disambiguate them • Add terms / labels Ontologies, text and IR , mothe@irit.fr

  4. Providing Intelligent Content - Pinar SENKUL - METU CENG existing concept in the hierarchy head Color Ultraviolet Color Intrinsic color Building ontologies – from thesaurus • Concepts and labels from terms Term1 USE Term2 Term3 USED FOR Term2 • IS a relation Term1 Broader Term Term2 Term3 Narrower Term Term4 • Hierachical levels Concept INTRINSIC COLORS Label intrinsic color Concept ULTRAVIOLET COLORS Label ultraviolet color Ontologies, text and IR , mothe@irit.fr

  5. Providing Intelligent Content - Pinar SENKUL - METU CENG Building ontologies – from corpus • Abstract level • Syntatic analysis • Terms and their category • Context of usage • Extraction of terms and the semantic of their relationships « is a property of » between « radial velocity » and « intensity » Ontologies, text and IR , mothe@irit.fr

  6. Providing Intelligent Content - Pinar SENKUL - METU CENG Using ontologies in IR Visualization of the instances of the task ontology Ontologies, text and IR , mothe@irit.fr

  7. Providing Intelligent Content - Pinar SENKUL - METU CENG Using ontologies in IR Visualization of the knowledge learnt for an instance researcher of the task ontology Ontologies, text and IR , mothe@irit.fr

  8. Providing Intelligent Content - Pinar SENKUL - METU CENG Using ontologies in IR Visualization of the knowledge learnt for an instance Article of the task ontology Ontologies, text and IR , mothe@irit.fr

  9. Providing Intelligent Content - Pinar SENKUL - METU CENG More • www.irit.fr/~Josiane.Mothe • mothe@irit.fr Ontologies, text and IR , mothe@irit.fr

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