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Tuesday, October 13, 2020 | History

1 edition of Reasoning about fuzzy temporal and spatial information from the Web found in the catalog.

Reasoning about fuzzy temporal and spatial information from the Web

Steven Schockaert

Reasoning about fuzzy temporal and spatial information from the Web

by Steven Schockaert

  • 394 Want to read
  • 35 Currently reading

Published by World Scientific in Singapore, Hackensack, NJ .
Written in English

    Subjects:
  • Fuzzy sets,
  • Spatial systems

  • Edition Notes

    Includes bibliographical references (p. 575-591) and index.

    StatementSteven Schockaert, Martine de Cock, Etienne Kerre
    SeriesIntelligent information systems -- v. 3, Intelligent information systems -- v. 3.
    ContributionsCock, Martine de, Kerre, Etienne E.
    Classifications
    LC ClassificationsQA248.5 .S37 2011
    The Physical Object
    Paginationxiii, 594 p. :
    Number of Pages594
    ID Numbers
    Open LibraryOL25373731M
    ISBN 109814307890
    ISBN 109789814307895
    LC Control Number2012419294
    OCLC/WorldCa587219911

    To satisfy the need of representing and reasoning with fuzzy knowledge and fuzzy data information in the context of the Semantic Web, an expressive fuzzy Description Logic (DL) named f-SROIQ(G) is. The material in the book also shows some common ground and a novel combination of spatial and temporal aspects of qualitative reasoning. Part I presents the overall scene. The chapter by Laure Vieu is on the state of the art in spatial representation and reasoning, and that by Alfonso Gerevini gives a similar survey on research in temporal Reviews: 1.

    Part I: Reasoning About Regions, Relations, and Fields Fuzzy Reasoning about Geographic Regions Combined Extraction of Directional and Topological Relationship Information from 2D Concave Objects Field Based Methods for the Modeling of Fuzzy Spatial Data Modeling Localities with Fuzzy Sets and GIS. Part II: Fuzzy Classification. Modeling the temporal information in the medical record is an important area of research. This paper describes an extension of TimeText, a temporal reasoning system designed to represent, extract, and reason about temporal information in clinical text, to include the use of fuzzy temporal constraints.

      Temporal is a fancy term referring to comparisons made with respect to the passage of time. If a process is temporally extended, it means that it happens over a period of time. If two events differ temporally, they happen at different points in ti. Reviews and Testimonials. This book focuses on the following issues of advanced database query systems: the technologies and methodologies of database queries, XML and metadata queries, and applications of database query systems, aiming at providing a single account of technologies and practices in advanced database query systems.


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Reasoning about fuzzy temporal and spatial information from the Web by Steven Schockaert Download PDF EPUB FB2

System Upgrade on Fri, Jun 26th, at 5pm (ET) During this period, our website will be offline for less than an hour but the E-commerce and registration of new. This book comprehensively studies fuzzy temporal and spatial information, starting from the basics on fuzzy set theory and temporal/spatial reasoning, the development of a new model to represent fuzzy temporal/spatial information, the study of efficient and complete reasoning algorithms, and their application in an information retrieval context.

Reasoning About Fuzzy Temporal and Spatial Information from fuzzy temporal and spatial information from the Web. Intelligent Information Systems (Vol. Singapore, Singapore: World Scientific. Chicago author-date. Schockaert, Steven, Martine De Cock, and Etienne Kerre. Reasoning About Fuzzy Temporal and Spatial Information.

and spatial information. The following year was primarily devoted to filling in the missing pieces of the puzzle: extracting temporal and spatial relations from the web, constructing accurate fuzzy footprints for vague regions, reasoning about fuzzy spatial relations, and.

Schockaert S () Reasoning about fuzzy temporal and spatial information from the web. Ph.D. thesis, Ghent University Google Scholar Schockaert S, Ahn D, De Cock M, Kerre E () Question answering with imperfect temporal by: Reasoning about fuzzy temporal information from the web: Towards retrieval of historical events Article (PDF Available) in Soft Computing 14(8) June with 75 Reads How we measure.

Reasoning. The spatial and temporal information is contained in the FuSpaT model of the world. The reasoning process in the proposed knowledge-representation scheme is defined as a spatio-temporal data-driven process as follows: The input in the reasoning process is the initial distribution of S-T tokens in the FuSpaT model.

This. More Information Less Information Close Enter the password to open this PDF file. Reasoning About Fuzzy Temporal And Spatial Information From The Web (Hardback, ) - Se billigste pris hos PriceRunner Sammenlign priser fra 2 butikker SPAR på dit køb nu.

In an effort to further investigation into critical development facets of geographic information systems (GIS), this book explores the reasoning processes that apply to geographic space and time.

As a result of an iniative sponsored by the National Center for Geographic Information and Analysis (NCGIA), it treats the computational, cognitive and social science applications aspects of spatial. As with probabilistic reasoning, fuzzy reasoning has been used in a domain context, to support decision making.

Examples include fuzzy reasoning to support assessment of road danger (Effati et al., ), management of typhoons (Chen, Sui, & Tang, ), and assessment of landscape morphometry (Fisher, Wood, & Cheng, ). Most of these cases.

Reasoning about fuzzy temporal and spatial information from the Web. By Steven Schockaert. Get PDF (10 MB) Topics: Physics and Astronomy. Publisher: Ghent University. Faculty of Sciences. Year: OAI identifier: oai: Provided by: Ghent.

Poli JP., Boudet L., Espinosa B., Cornez L. () Online Fuzzy Temporal Operators for Complex System Monitoring. In: Antonucci A., Cholvy L., Papini O. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty.

ECSQARU Lecture Notes in Computer Science, vol Springer, Cham. First Online 15 June   Abstract: The proposed classification approach is based on a fuzzy fusion of three basic kinds of information: single-time posterior probability, spatial and temporal contexts. Such information derived from a multitemporal data set are exploited in order to improve the accuracy with respect to the single-time classification.

Bosch, M. Torres, R. Marin, Reasoning with disjunctive fuzzy temporal constraint networks, in: Proceedings of the 9th International Symposium on Temporal Representation and Reasoning, Google Scholar Digital Library [9].

On reasoning on time and location on the web. In: LNCS, vol. Springer. Google Scholar Digital Library [10]. web. Fuzzy spatial reasoning can then be used to infer the relevance of these businesses to a geographically constrained query.

Some of the most important issues we are currently fac-ing are how to extract a sufficiently high number of reliable and relevant qualitative temporal and spatial relations from.

From temporal expressions to temporal information: Semantic tagging of news messages. In Proceedings of the ACL Workshop on Temporal and Spatial Information Processing, Google Scholar; Schockaert, S.; De Cock, M.; and Kerre, E.

Reasoning about fuzzy temporal information from the web: towards retrieval of historical events. Fuzzy Temporal and Spatial Reasoning for Intelligent Information Retrieval By Steven Schockaert Topics: Science General.

Abstract: This paper proposes a novel fuzzy reasoning interpolation method for video deinterlacing. We propose SMDW and TMDW parameters to measure the amount of entropy in the spatial and temporal domains.

The shape of the membership function is designed adaptively according to the parameters, and can be utilized to determine edge direction. Section 4, we discuss how fuzzy temporal reasoning can be used to detect and repair inconsistencies in information extracted from the web, leading to more reliable knowl-edge bases.

Subsequently, in Section 5, we focus on the actual extraction of temporal information from the web. Speci cally, we introduce techniques to construct (fuzzy). Spatial-temporal reasoning is the cognitive ability to picture a spatial pattern and understand how items or pieces can fit into that space.

Those with a gift for this kind of reasoning can often visualize how things fit together, step-by-step, and how they can be manipulated into different patterns.

Problem-solving skills, organizational.CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): A novel approach to temporal reasoning is proposed which deals with both uncertain facts and uncertain temporal information in fuzzy logic.

Fuzzy time-objects are defined to represent these uncertainties. A point of particular concern when reasoning with both kinds of uncertainty is that temporal uncertainty should.The temporal, spatial, and spatio‐temporal information are often fuzzy in real‐world applications.

27, 30, 33 To model fuzzy spatio‐temporal information, currently, some efforts have devoted to represent fuzzy spatio‐temporal information within Petri nets and OWL ontologies.