TAILIEUCHUNG - Báo cáo khoa học: "Generating and Visualizing a Soccer Knowledge Base"

This demo abstract describes the SmartWeb Ontology-based Annotation system (SOBA). A key feature of SOBA is that all information is extracted and stored with respect to the SmartWeb Integrated Ontology (SWIntO). In this way, other components of the systems, which use the same ontology, can access this information in a straightforward way. We will show how information extracted by SOBA is visualized within its original context, thus enhancing the browsing experience of the end user. | Generating and Visualizing a Soccer Knowledge Base Paul Buitelaar Thomas Eigner Greg Gul-rajani Alexander Schutz Melanie Siegel Nicolas Weber Language Technology Lab DFKI GmbH Saarbrucken Germany paulb siegel @ Philipp Cimiano Gunter Ladwig Matthias Mantel Honggang Zhu Institute AIFB University of Karlsruhe Karlsruhe Germany cimiano@ Abstract This demo abstract describes the SmartWeb Ontology-based Annotation system SOBA . A key feature of SOBA is that all information is extracted and stored with respect to the SmartWeb Integrated Ontology SWIntO . In this way other components of the systems which use the same ontology can access this information in a straightforward way. We will show how information extracted by SOBA is visualized within its original context thus enhancing the browsing experience of the end user. 1 Introduction SmartWeb1 is a multi-modal dialog system which derives answers from unstructured resources such as the Web from automatically acquired knowledge bases and from web services. In this paper we describe the current status of the SmartWeb Ontology-Based Annotation SOBA system. SOBA automatically populates a knowledge base by information extraction from soccer match reports as available on the web. The extracted information is defined with respect to SWIntO the underlying SmartWeb Integrated Ontology Oberle et al. in preparation in order to be smoothly integrated into the system. The ability to extract information and describe it ontologically is a basic requirement for more complex processing tasks such as reasoning and discourse analysis for related work on ontologybased information extraction see . Maedche et al. 2002 Lopez and Motta 2004 Muller et al. 2004 Nirenburg and Raskin 2004 . 2 System Overview The SOBA system consists of a web crawler linguistic annotation components and a component for the transformation of linguistic annotations into an ontology-based representation. The web crawler acts as a monitor

• Báo cáo khoa học
• Generating and Visualizing
• Soccer Knowledge Base
• Paul Buitelaar
• 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