Paper Info
Title
Linked Data Platform For Building Cloud-Based Smart Applications And Connecting Api Access Points With Data Discovery Techniques
Abstract
Globalization and cloud computing have allowed major strides forward in terms of communication possibilities, but it is also illuminating how many different resource options and formats exist access to which would dramatically increase the accuracy and reliability of choices made as a result of computational output. As a result, there is increasing need for methods resolving levels of data translations necessary for the effectiveness of distributed Linked Data platforms, especially in the context of the Building Information Modeling domain in which we conduct our work. The following research presents the current state of our Linked Data Platform for handling and processing Resilience and BIM data from existing and remotely located data stores and simulation models. This approach focuses on data interoperability and illustrates the functional interactions of a set of lightweight API endpoints that serve resources as requests are extensible with the HYDRA Core Vocabulary to increase data discoverability opportunities.
Year
Venue
Keywords
2016
2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
Big Data, Interoperability, Linked Data, Semantic Web, REST APIs, HYDRA Core Vocabulary, Building Information Modeling, Ontology Alignment, Linked Data Views, Linked Data Platform, Data Modeling, Resilience Frameworks
Field
DocType
Citations 
Data mining,Data discovery,Data modeling,Discoverability,Computer science,Interoperability,Linked data,Building information modeling,Cloud computing,Linked Data Platform
Conference
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Holly Ferguson111.05
Charles F. Vardeman II285.24
Jarek Nabrzyski345945.77