Hits 2.081 – 2.100 of 2.210
| 2081 |
RESEARCH ARTICLE
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In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/85/46/BMC_Bioinformatics_2011_Aug_5_12_325.tar.gz
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| 2082 |
Contextual Visualization of Ontological Models
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In: http://acmbulletin.fiit.stuba.sk/vol2num2/vrana.pdf
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| 2083 |
Formalization of 2-D Spatial Ontology and OWL/Protégé Realization
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In: http://ranger.uta.edu/~cli/pubs/SWIM2011_KulsawasdJ_Paper25_CameraReady.pdf
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| 2084 |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII-4/W15 ONTOLOGICAL IMPEDANCE IN 3D SEMANTIC DATA MODELING
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In: http://www.isprs.org/proceedings/XXXVIII/4-W15/Paper_ISPRS/Poster/4_3DGeoInfo2010_138_Clementini_Ontological_Impedance.pdf
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| 2085 |
D GIANNI et al: ONTOLOGY-BASED SPECIFICATION OF SIMULATION SEQUENCES Ontology-based Specification of Simulation Sequences
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In: http://ijssst.info/Vol-10/No-2/paper6.pdf
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| 2086 |
A CONCEPTUAL FRAMEWORK FOR QUALITY ASSES SMENT OF SEMANTIC MAPPING BETWEEN SPATIAL ONTOLOGIES
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In: http://www.isprs.org/proceedings/XXXVI/2-C43/Session1/paper%20Bakillah.pdf
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| 2087 |
Agglomerations
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In: http://ontology.buffalo.edu/smith/articles/smith(cosit).pdf
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| 2088 |
written form)
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In: http://www.vits.org/konferenser/lap2005/paper 14-lap.pdf
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| 2089 |
Browser-based Semantic Mapping Tool for Linked Data in Semantic Web
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In: http://events.linkeddata.org/ldow2008/papers/09-zhou-xu-mapping-tool.pdf
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| 2090 |
TOWARDS SEMANTIC INTERACTION IN HIGH-DETAIL REALTIME TERRAIN AND CITY VISUALIZATION
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In: http://cg.cs.uni-bonn.de/aigaion2root/attachments/wahl-2007-towards.pdf
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| 2091 |
Development of a Controlled Natural Language Interface for Semantic MediaWiki
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In: http://eprints.ecs.soton.ac.uk/17868/1/CNL_Extended_Paperv9.pdf
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| 2092 |
The Creation of a Chinese Emotion Ontology Based on HowNet
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In: http://www.engineeringletters.com/issues_v16/issue_1/EL_16_1_24.pdf
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| 2093 |
Towards Applying Text Mining and Natural Language Processing for Biomedical Ontology Acquisition
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In: http://www.cs.ualberta.ca/~zaiane/courses/cmput605/2008/pdf/ontology.pdf
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| 2094 |
Finding Semantic Mappings from Relational Tables to Ontologies/Conceptual Models ⋆
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In: http://athos.rutgers.edu/pub/borgida/jods06.pdf
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| 2095 |
Intentional Collectives 1 Running head: Intentional Collectives From Collective Intentionality to Intentional Collectives: an Ontological Perspective
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In: http://www.loa.istc.cnr.it/Papers/IntentionalCollectives_APAversionREV3.pdf
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| 2096 |
Semantic Vernacular System: an Observation-based, Community-powered, and Semantics-enabled Naming System for Organisms
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In: http://ceur-ws.org/Vol-914/paper_42.pdf
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| 2097 |
Constructing Railway Ontology using Web Ontology Language and Semantic Web Rule Language
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In: http://ijcta.com/documents/volumes/vol2issue2/ijcta2011020213.pdf
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| 2098 |
Ontology Based Text Categorization- Telugu Documents
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In: http://www.ijser.org/researchpaper/Ontology-Based-Text-Categorization-Telugu-Documents.pdf
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| 2099 |
COMPREHENSIVE ONTOLOGY COGNITIVE ASSISTED VISUALIZATION TOOLS—A SURVEY (2008–2011)
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In: http://www.jatit.org/volumes/Vol41No1/10Vol41No1.pdf
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Abstract:
Comprehensive Ontology is used in different contexts with different authors. Ontology comprehension is a collection of techniques that facilitate the understanding of ontologies. These tools are being applied for further development in various disciplines for better understanding knowledge. These tools commonly use six methods, namely, Indented List, Node-link and tree, Zoomable Visualization, Space-filling, Focus + context or distortion and 3D Information landscapes. The purpose of the work is to present a study on application of these six methods in the development of different kinds of Comprehensive visualization Ontology tools and categorize their characteristics so t h a t it assists in method selection and promotes further future research in the area of ontology visualization. This paper overviews different technology for ontology visualization. It is an a t t e m p t t o summarize existing literature related to ontology visualization and provide comprehensive cataloguing of existing method characteristics as well as record t h e i r strong points and weaknesses in relation with user tasks.
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Keyword:
and other entities that are; Cognitive Support; Comprehensive Ontology; concepts; Human Agents objects; Ontology Visualization Technique
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.8125
http://www.jatit.org/volumes/Vol41No1/10Vol41No1.pdf
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| 2100 |
Dynamic Integration of Multiple Evidence Sources for Ontology Learning
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In: http://eprints.weblyzard.com//56/1/wohlgenannt2012a-dynamicIntegrationOfMultipleEvidenceSources.pdf
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