Automatic Resolution of Semantic Heterogeneity in GIS: An Ontology Based Approach

2014 ◽  
pp. 585-591 ◽  
Author(s):  
Shrutilipi Bhattacharjee ◽  
Soumya K. Ghosh
Keyword(s):  
Semantic Heterogeneity

A Systematic Approach for Managing the Risk Related to Semantic Interoperability between Geospatial Datacubes

2012 ◽  
pp. 59-80
Author(s):  
Tarek Sboui ◽  
Mehrdad Salehi ◽  
Yvan Bédard
Keyword(s):  
Decision Support ◽  
General Framework ◽  
Semantic Interoperability ◽  
General Level ◽  
Semantic Heterogeneity ◽  
Top Down ◽  
Geographic Knowledge ◽  
Transactional Databases ◽  
The Subject ◽  
Detailed Level

Geospatial datacubes are the database backend of novel types of spatiotemporal decision-support systems employed in large organizations. These datacubes extend the datacube concept underlying the field of Business Intelligence (BI) into the realm of geospatial decision-support and geographic knowledge discovery. The interoperability between geospatial datacubes facilitates the reuse of their content. Such interoperability, however, faces risks of data misinterpretation related to the heterogeneity of geospatial datacubes. Although the interoperability of transactional databases has been the subject of several research works, no research dealing with the interoperability of geospatial datacubes exists. In this paper, the authors support the semantic interoperability between geospatial datacubes and propose a categorization of semantic heterogeneity problems that may occur in geospatial datacubes. Additionally, the authors propose an approach to deal with the related risks of data misinterpretation, which consists of evaluating the fitness-for-use of datacubes models, and a general framework that facilitates making appropriate decisions about such risks. The framework is based on a hierarchical top-down structure going from the most general level to the most detailed level, showing the usefulness of the proposed approach in environmental applications.

A Knowledge-Based Web Information System for the Fusion of Distributed Classifers

2004 ◽  
pp. 268-304 ◽  
Author(s):  
Grigorios Tsoumakas ◽  
Nick Bassiliades ◽  
Ioannis Vlahavas
Keyword(s):  
Information System ◽  
Distributed Databases ◽  
Semantic Heterogeneity ◽  
Knowledge Based ◽  
Classifier Selection ◽  
Web Information System ◽  
Web Information ◽  
Geographically Distributed ◽  
Fusion Of Classifiers ◽  
The Web

This chapter presents the design and development of WebDisC, a knowledge-based web information system for the fusion of classifiers induced at geographically distributed databases. The main features of our system are: (i) a declarative rule language for classifier selection that allows the combination of syntactically heterogeneous distributed classifiers; (ii) a variety of standard methods for fusing the output of distributed classifiers; (iii) a new approach for clustering classifiers in order to deal with the semantic heterogeneity of distributed classifiers, detect their interesting similarities and differences, and enhance their fusion; and (iv) an architecture based on the Web services paradigm that utilizes the open and scalable standards of XML and SOAP.

SIGA3D

2012 ◽  
pp. 806-828 ◽  
Author(s):  
Clément Mignard ◽  
Christophe Nicolle
Keyword(s):  
Geometric Modeling ◽  
Structural Heterogeneity ◽  
Facility Management ◽  
Information Modeling ◽  
Semantic Heterogeneity ◽  
Remote Server ◽  
Gis Data ◽  
Building Information ◽  
Collaborative Platform ◽  
Lifecycle Management

The interoperability of Information Systems has been a research topic for over thirty years. While some forms of heterogeneity have been settled by the adoption of standards, some domains, such as the Urban Information Modeling (UIM), require specific research. The UIM combines information from the domain of Building Information Modeling (BIM) with Geographic Information System (GIS) within a collaborative platform. Using this platform, a set of heterogeneous actors takes part in the lifecycle of the urban environment through a 3D digital model. This ambition is faced with several gaps such as resolution of semantic heterogeneity in the lifecycle management system, the resolution of structural heterogeneity between 2D geo-referenced modeling and 3D geometric modeling, or problem solving scalability for real-time 3D display from a remote server for managing a real environment of several million square meters. In this chapter, the authors present the SIGA3D European Project trying to overcome these obstacles into a Web collaborative platform combining BIM and GIS data and processes for Urban Facility Management.

Design and Implementation of Oilfield Heterogeneous Data Integration Model Based on Ontology

2014 ◽  
Vol 912-914 ◽  
pp. 1201-1204
Author(s):  
Gang Huang ◽  
Xiu Ying Wu ◽  
Man Yuan
Keyword(s):  
Data Integration ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Semantic Heterogeneity ◽  
Integration Model ◽  
Integration Framework ◽  
Heterogeneous Data Integration ◽  
Semantic Level ◽  
Heterogeneous Data Sources ◽  
Semantic Difference

This paper provides an ontology-based distributed heterogeneous data integration framework (ODHDIF). The framework resolves the problem of semantic interoperability between heterogeneous data sources in semantic level. By metadatas specifying the distributed, heterogeneous data and by describing semantic information of data source , having "ontology" as a common semantic model, semantic match is established through ontology mapping between heterogeneous data sources and semantic difference institutions are shielded, so that semantic heterogeneity problem of the heterogeneous data sources can be effectively solved. It provides an effective technology measure for the interior information of enterprises to be shared in time accurately.

Ontology-based knowledge representation for resolution of semantic heterogeneity in GIS

2017 ◽  
Author(s):  
Ying Liu ◽  
Han Xiao ◽  
Limin Wang ◽  
Jialing Han
Keyword(s):  
Knowledge Representation ◽  
Semantic Heterogeneity

Identifying dictionary-relevant formulaic sequences in written and spoken corpora

2020 ◽  
Vol 33 (4) ◽  
pp. 417-442
Author(s):  
Kaja Dobrovoljc
Keyword(s):  
High Frequency ◽  
Final Evaluation ◽  
Semantic Heterogeneity ◽  
Human Communication ◽  
Formulaic Language ◽  
Formulaic Sequences ◽  
Identification Process ◽  
Corpus Size ◽  
Identification Analysis ◽  
Interaction Management

Abstract In view of the pervasiveness of formulaic language in human communication and the growing awareness of its relevance to modern lexicography, this study presents a corpus-driven identification, analysis and comparison of dictionary-relevant formulaic sequences in reference corpora of written and spoken Slovenian. The sequences were identified using a semi-automatic approach, whereby the most frequently recurring word combinations in each corpus were ranked according to their statistical salience and manually inspected for formulaic expressions with lexicographic relevance. Despite its semantic heterogeneity, the resulting list illustrates the distinct characteristics of formulaic multi-word expressions, such as high frequency of usage, prevalent inclusion of grammatical words and common non-propositional meaning, especially in speech, where research revealed numerous understudied formulaic expressions related to interaction management and mitigation. The final evaluation of measures used in the identification process demonstrates their relative suitability for corpus-driven identification of dictionary-relevant formulaic expressions, with their precision varying in relation to corpus size and length of sequences under investigation.

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