Semantic Similarity Measures within the Semantic Framework of the Universal Ontology of Geographical Space

Čeh, Marjan; Podobnikar, Tomaž; Smole, Domen

doi:10.1007/3-540-35589-8_27

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…A six-step procedure (with two exceptions) to generate the potential surfaces was developed for sharp, blunt, oblong, and circular peaks. The high quality of the results was proved by cross-checking against the topographic maps [10,37] and by etymologically comparing the meanings of the toponyms with their shapes [1,42].…”

Section: Discussionmentioning

confidence: 99%

“…Our assumption was that the shapes of peaks, coded in Table 2 and determined in the study, would be reflected in the toponyms of REZI 25. The main ontological key for semantic approval lies in dictionaries, e.g., [10] and other thematic etymological publications, e.g., [1,42] for the Slovenian language. The peak's toponyms have also been related to their visual interpretation and aesthetic judgments.…”

Section: Verification Of Delineated Shapes Using Peak Toponymsmentioning

confidence: 99%

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Detecting Mountain Peaks and Delineating Their Shapes Using Digital Elevation Models, Remote Sensing and Geographic Information Systems Using Autometric Methodological Procedures

Podobnikar

2012

Remote Sensing

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Abstract:The detection of peaks (summits) as the upper parts of mountains and the delineation of their shape is commonly confirmed by inspections carried out by mountaineers. In this study the complex task of peak detection and shape delineation is solved by autometric methodological procedures, more precisely, by developing relatively simple but innovative image-processing and spatial-analysis techniques (e.g., developing inventive variables using an annular moving window) in remote sensing and GIS domains. The techniques have been integrated into automated morphometric methodological procedures. The concepts of peaks and their shapes (sharp, blunt, oblong, circular and conical) were parameterized based on topographic and morphologic criteria. A geomorphologically high quality DEM was used as a fundamental dataset. The results, detected peaks with delineated shapes, have been integratively enriched with numerous independent datasets (e.g., with triangulated spot heights) and information (e.g., etymological information), and mountaineering criteria have been implemented to improve the judgments. This holistic approach has proved the applicability of both highly standardized and universal parameters for the geomorphologically diverse Kamnik Alps case study area. Possible applications of this research are numerous, e.g., a comprehensive quality control of DEM or significantly improved models for the spatial planning proposes.

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Section: Discussionmentioning

confidence: 99%

Section: Verification Of Delineated Shapes Using Peak Toponymsmentioning

confidence: 99%

Detecting Mountain Peaks and Delineating Their Shapes Using Digital Elevation Models, Remote Sensing and Geographic Information Systems Using Autometric Methodological Procedures

Podobnikar

2012

Remote Sensing

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“…Uporabnik v postopku iskanja ustreznih zbirk prostorskih podatkov formira poizvedbo z razpoložljivimi koncepti UOPGR-ja. Hkrati lahko določa stopnjo kakovosti ujemanja rezultatov iskanja s poizvedbo (Čeh et al, 2004;2006;Smole et al, 2011). Takšen koncept je na primer lahko »Objekti aktivnosti izobraževanja«.…”

Section: Uvodunclassified

Application of universal ontology of geographic space in a subset of the first-order predicate calculus

Čeh¹,

Smole²,

Podobnikar³

2012

Geod. vestn.

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“…The user forms a query with available concepts of UOGS and simultaneously defines the required level of semantic matching (Čeh et al, 2004;2006;Smole et al, 2011). Such a query concept is for example »objects of education activity«.…”

Section: Introductionmentioning

confidence: 99%

Izvedba univerzalne ontologije geografskega prostora v podmnožici predikatnega računa prvega reda

Čeh¹,

Smole²,

Podobnikar³

2012

Geod. vestn.

Self Cite

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Semantic Similarity Measures within the Semantic Framework of the Universal Ontology of Geographical Space

Cited by 6 publications

References 7 publications

Detecting Mountain Peaks and Delineating Their Shapes Using Digital Elevation Models, Remote Sensing and Geographic Information Systems Using Autometric Methodological Procedures

Detecting Mountain Peaks and Delineating Their Shapes Using Digital Elevation Models, Remote Sensing and Geographic Information Systems Using Autometric Methodological Procedures

Application of universal ontology of geographic space in a subset of the first-order predicate calculus

Izvedba univerzalne ontologije geografskega prostora v podmnožici predikatnega računa prvega reda

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