tailieunhanh - Báo cáo khoa học: "A Cross-Language Document Retrieval System Based on Semantic Annotation"

The paper describes a cross-lingual document retrieval system in the medical domain that employs a controlled vocabulary (UMLS I ) in constructing an XMLbased intermediary representation into which queries as well as documents are mapped. The system assists in the retrieval of English and German medical scientific abstracts relevant to a German query document (electronic patient record). The modularity of the system allows for deployment in other domains, given appropriate linguistic and semantic resources. . | A Cross-Language Document Retrieval System Based on Semantic Annotation Bogdan Sacaleanu DFKI GmbH bogdan@ Paul Buitelaar DFKI GmbH paulb@ Martin Volk EIT AG volk@ Abstract The paper describes a cross-lingual document retrieval system in the medical domain that employs a controlled vocabulary UMLS1 in constructing an XMLbased intermediary representation into which queries as well as documents are mapped. The system assists in the retrieval of English and German medical scientific abstracts relevant to a German query document electronic patient record . The modularity of the system allows for deployment in other domains given appropriate linguistic and semantic resources. XML-based representation by means of a multilingual medical thesaurus. The controlled vocabulary used the Metathesaurus or rather the MeSH3 part of this is one of the three knowledge sources developed within the UMLS containing semantic information about biomedical concepts their various names and the specific relationships among them . broader_term nar-rower_term etc. . In addition we used the UMLS Semantic Network as a further knowledge source which provides a categorization of the Metathesaurus concepts in semantic types and provides links between these types through relationships that are important for the biomedical domain . location_of leads_to etc. . 2 The MuchMore Platform 1 Introduction The task of a cross-language information retrieval CLIR system is to match user queries specified in one language against documents written in a different language. In recent years three approaches to the CLIR problem have been investigated query translation document translation and the use of an interlingua as specified in thesauri and similar semantic resources. The system2 we describe here MuchMore approaches the CLIR task by automatically mapping both the queries and documents into an intermediary 1 The Unified Medical Language System http research umls

• Báo cáo khoa học
• A Cross Language
• Document Retrieval System
• Semantic Annotation
• 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