Ontology and semantic enable spatial data discovery and integration

2009 ◽  
Author(s):  
Hong Fan ◽  
Hua Zhang ◽  
Hao Feng ◽  
Jian Li
Keyword(s):  
Spatial Data ◽  
Data Discovery ◽  
Discovery And Integration

Data Discovery Approaches for Vague Spatial Data

Data Mining ◽  
2013 ◽  
pp. 50-65
Author(s):  
Frederick E. Petry
Keyword(s):  
Data Mining ◽  
Fuzzy Sets ◽  
Association Rules ◽  
Rough Set ◽  
Fuzzy Set ◽  
Spatial Data ◽  
Spatial Databases ◽  
Uncertain Data ◽  
Rule Extraction ◽  
Data Discovery

This chapter focuses on the application of the discovery of association rules in approaches vague spatial databases. The background of data mining and uncertainty representations using rough set and fuzzy set techniques is provided. The extensions of association rule extraction for uncertain data as represented by rough and fuzzy sets is described. Finally, an example of rule extraction for both types of uncertainty representations is given.

scholarly journals Spatial Metadata Usability Evaluation

2020 ◽  
Vol 9 (7) ◽  
pp. 463 ◽  
Author(s):  
Mohsen Kalantari ◽  
Syahrudin Syahrudin ◽  
Abbas Rajabifard ◽  
Hardi Subagyo ◽  
Hannah Hubbard
Keyword(s):  
Data Quality ◽  
User Interfaces ◽  
Spatial Data ◽  
Irrelevant Information ◽  
End Users ◽  
Data Discovery ◽  
Data Infrastructure ◽  
Critical Part ◽  
Efficiency And Effectiveness ◽  
Effectiveness And Efficiency

Spatial metadata is a critical part of any spatial data infrastructure, which enables the organising, sharing, discovery and use of spatial data. This paper highlights a knowledge gap in the usability of the metadata systems for the end–users. It then addresses the gap by applying the User Centred Design approach to investigate the usability of metadata records. The research engages with end–users concerning efficiency and effectiveness of metadata systems, and end–users’ satisfaction and expectations. The results indicate significant gaps with the effectiveness and efficiency of metadata systems for spatial data discovery and selection. Inconsistency and irrelevant information in the metadata records were found in the title, keywords, abstracts, data quality and other elements of the metadata. Additionally, essential improvements were identified for user interfaces. Discouraging presentation of the metadata is a prominent problem found in the interface of the metadata systems.

DAP - Large Volume Spatial Data Discovery and Distribution Over Networks

2003 ◽  
Vol 2003 (2) ◽  
pp. 1-4
Author(s):  
Ian MacLeod ◽  
Roger Amorim ◽  
Nick Valleau
Keyword(s):  
Large Volume ◽  
Spatial Data ◽  
Data Discovery

DAP — Large volume spatial data discovery and distribution over networks

2003 ◽  
Vol 34 (1-2) ◽  
pp. 143-146
Author(s):  
Ian MacLeod ◽  
Roger Amorim ◽  
Nick Valleau
Keyword(s):  
Large Volume ◽  
Spatial Data ◽  
Data Discovery

scholarly journals BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration

2017 ◽  
Vol 33 (22) ◽  
pp. 3627-3634 ◽  
Author(s):  
Chao Pang ◽  
Fleur Kelpin ◽  
David van Enckevort ◽  
Niina Eklund ◽  
Kaisa Silander ◽  
...  
Keyword(s):  
Data Discovery ◽  
Discovery And Integration

Data Discovery Approaches for Vague Spatial Data

2011 ◽  
pp. 342-360 ◽  
Author(s):  
Frederick E. Petry
Keyword(s):  
Data Mining ◽  
Fuzzy Sets ◽  
Association Rules ◽  
Rough Set ◽  
Fuzzy Set ◽  
Spatial Data ◽  
Spatial Databases ◽  
Uncertain Data ◽  
Rule Extraction ◽  
Data Discovery

This chapter focuses on the application of the discovery of association rules in approaches vague spatial databases. The background of data mining and uncertainty representations using rough set and fuzzy set techniques is provided. The extensions of association rule extraction for uncertain data as represented by rough and fuzzy sets is described. Finally, an example of rule extraction for both types of uncertainty representations is given.

scholarly journals A Proposal for a User-Oriented Spatial Metadata Profile

2021 ◽  
Vol 10 (6) ◽  
pp. 376
Author(s):  
Mohsen Kalantari ◽  
Syahrudin Syahrudin ◽  
Abbas Rajabifard ◽  
Hannah Hubbard
Keyword(s):  
Spatial Data ◽  
Online Survey ◽  
Sampling Method ◽  
End Users ◽  
Spatial Data Infrastructure ◽  
User Requirements ◽  
Data Discovery ◽  
Metadata Standard ◽  
Data Infrastructure ◽  
Purposive Sampling

Spatial metadata profiles have been designed and evolved by data custodians to manage, share, discover, and use spatial data. The end-users of spatial data often do not have much input in designing the profiles. The spatial data infrastructure literature reveals that they question the usability of spatial metadata. This paper analyzes the usability of metadata profiles by engaging end-users and clarifying their requirements in response to this problem. Over 60 users from 18 countries were engaged using an online survey based on a purposive sampling method. The results show that the most widely used metadata standard, ISO 19115, provides metadata elements to accommodate most user requirements for searches. However, an extension to the standard is necessary to assist users in discovery and selection. Two new metadata elements are proposed as part of the extension. The extension also involves changing the obligation type of existing elements to improve data discovery.

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