TAILIEUCHUNG - Báo cáo khoa học: "Aligning Medical Domain Ontologies for Clinical Query Extraction"

Often, there is a need to use the knowledge from multiple ontologies. This is particularly the case within the context of medical imaging, where a single ontology is not enough to provide the complementary knowledge about anatomy, radiology and diseases that is required by the related applications. Consequently, semantic integration of these different but related types of medical knowledge that is present in disparate domain ontologies becomes necessary. Medical ontology alignment addresses this need by identifying the semantically equivalent concepts across multiple medical ontologies. . | Aligning Medical Domain Ontologies for Clinical Query Extraction Pinar Wennerberg Siemens AG Munich Germany TU Darmstadt Darmstadt Germany Abstract Often there is a need to use the knowledge from multiple ontologies. This is particularly the case within the context of medical imaging where a single ontology is not enough to provide the complementary knowledge about anatomy radiology and diseases that is required by the related applications. Consequently semantic integration of these different but related types of medical knowledge that is present in disparate domain ontologies becomes necessary. Medical ontology alignment addresses this need by identifying the semantically equivalent concepts across multiple medical ontologies. The resulting alignments can then be used to annotate the medical images and related patient text data. A corresponding semantic search engine that operates on these annotations . alignments instead of simple keywords can in this way deliver the clinical users a coherent set of medical image and patient text data. 1 Introduction As the content of numerous ontologies in the biomedical domain increases so does the need for sharing and reusing this body of knowledge. Often there is a need to use the knowledge from multiple ontologies. This is particularly the case within the context of medical imaging where a single ontology is not enough to support the necessary heterogeneous tasks that require complementary knowledge about human anatomy radiology and diseases. Medical imaging constitutes the context of this work which lies within the Theseus-MEDICO1 use case. The Theseus-MEDICO use case has the objective of building the next generation of intelligent scalable and robust search engine for the medi 1 http scenarios en medico cal imaging domain. medico s proposed solution relies on ontology based semantic annotation of the medical image contents and the related patient data. Semantic .

• Báo cáo khoa học
• Aligning Medical Domain Ontologies
• Clinical Query Extraction
• Pinar Wennerberg
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln