2016
Suria Kala Subbu
A Semantic Web Framework For Representing, Linking And Analyzing Medical Data For Optimizing Laboratory Utilization Journal Article
In: 2016.
Abstract | Links | BibTeX | Tags: Health Data Analytics, Health Informatics, Knowledge Based Systems, Knowledge Linkage, Knowledge Management, Ontology Engineering, Semantic Web
@article{Subbu16,
title = {A Semantic Web Framework For Representing, Linking And Analyzing Medical Data For Optimizing Laboratory Utilization},
author = {Suria Kala Subbu},
url = {https://dalspace.library.dal.ca/xmlui/handle/10222/72131?show=full},
year = {2016},
date = {2016-09-01},
abstract = {In this thesis, we investigate semantic web based methods for representing, linking and analyzing medical data. The main challenge addressed in this work is the transformation of data stored in a relational database to an ontological model that allows to represent as RDF triples and to link the data with external data sources using linked data principles. We have implemented a semantic analytics framework that comprises the following elements: (a) Domain-specific ontology to represent the data model and data inference. (b) RDMS data extraction using a domain-specific ontology (TBOX) based on the relational database schema; (c) Ontology instantiation (ABOX) that involves converting the relational data in terms of RDF triples. A key feature of our approach is the data is not physically migrated from the RDBS to RDF, rather we dynamically materialize the RDF triples thus avoiding the creation of a large RDF dump; (d) Linking the RDF data with available open data in RDF format using ontology-based concept alignments; and (e) Semantic analytics using SPARQL to identify semantically-salient patterns within the data. We have applied our semantic analytics data to analyze pathology lab data (over 5 years of pathology order data), where we were able to identify prevalent order-sets inherent within the data, and we also evaluated the change in the frequent order-sets over a five year time period.},
keywords = {Health Data Analytics, Health Informatics, Knowledge Based Systems, Knowledge Linkage, Knowledge Management, Ontology Engineering, Semantic Web},
pubstate = {published},
tppubtype = {article}
}
2015
William Van Woensel; Hossein Mohammadhassanzadeh; Samina Raza Abidi; Syed Sibte Raza Abidi
Multi-Strategy Semantic Web Reasoning for Medical Knowledge Bases Proceedings Article
In: Proceedings of International Workshop on Biomedical Data Mining, Modeling, and Semantic Integration: A Promising Approach to Solving Unmet Medical Needs (BDM2I2015), 2015.
Links | BibTeX | Tags: Health Informatics, Knowledge Based Systems, Ontology, Semantic Web
@inproceedings{DBLP:conf/semweb/WoenselMAA15,
title = {Multi-Strategy Semantic Web Reasoning for Medical Knowledge Bases},
author = {William Van Woensel and Hossein Mohammadhassanzadeh and Samina Raza Abidi and Syed Sibte Raza Abidi},
url = {http://ceur-ws.org/Vol-1428/BDM2I_2015_paper_8.pdf},
year = {2015},
date = {2015-10-11},
booktitle = {Proceedings of International Workshop on Biomedical Data Mining, Modeling, and Semantic Integration: A Promising Approach to Solving Unmet Medical Needs (BDM2I2015)},
keywords = {Health Informatics, Knowledge Based Systems, Ontology, Semantic Web},
pubstate = {published},
tppubtype = {inproceedings}
}
2011
Mei Kuan Wong; Syed Sibte Raza Abidi; Ian D. Jonsen
Mining Non-taxonomic Concept Pairs from Unstructured Text - A Concept Correlation Search Framework Proceedings Article
In: WEBIST 2011, Proceedings of the 7th International Conference on Web Information Systems and Technologies, Noordwijkerhout, The Netherlands, 6-9 May, 2011, pp. 707–716, 2011.
BibTeX | Tags: Knowledge Based Systems, Text Mining
@inproceedings{DBLP:conf/webist/WongAJ11,
title = {Mining Non-taxonomic Concept Pairs from Unstructured Text - A Concept Correlation Search Framework},
author = {Mei Kuan Wong and Syed Sibte Raza Abidi and Ian D. Jonsen},
year = {2011},
date = {2011-01-01},
booktitle = {WEBIST 2011, Proceedings of the 7th International Conference on Web Information Systems and Technologies, Noordwijkerhout, The Netherlands, 6-9 May, 2011},
pages = {707--716},
crossref = {DBLP:conf/webist/2011},
keywords = {Knowledge Based Systems, Text Mining},
pubstate = {published},
tppubtype = {inproceedings}
}