Ontology Based Information Extraction for Disease Intelligence

@article{Abeysiriwardana2012OntologyBI,
  title={Ontology Based Information Extraction for Disease Intelligence},
  author={Prabath Chaminda Abeysiriwardana and Saluka Ranasinghe Kodituwakku},
  journal={ArXiv},
  year={2012},
  volume={abs/1211.3497}
}
Disease Intelligence (DI) is based on the acquisition and aggregation of fragmented knowledge of diseases at multiple sources all over the world to provide valuable information to doctors, researchers and information seeking community. Some diseases have their own characteristics changed rapidly at different places of the world and are reported on documents as unrelated and heterogeneous information which may be going unnoticed and may not be quickly available. This research presents an… 
View PDF on arXiv
11 Citations
Background Citations
5

Figures and Tables from this paper

11 Citations

Citation Type

Citation Type

Ontology based disease diagnosis system with probabilistic inference
TLDR
An ontology-based system that creates a knowledge graph of the extracted information to make it machine understandable that can be utilized to infer the most probable diseases given the patient's symptoms, age, gender, lifestyle and personal and parental medical history as input is presented.
Ontology based syndrome diagnostic system: (OBSDS)
TLDR
This work has proposed a Syndrome ontology model for disease diagnosis, which has done model formalization in Web Ontology language (OWL) and has handled reasoning upon ontology using SPARQL Query.
A Survey on Disease Ontology Sharmilla
TLDR
An overview of the ontology that is built in medical fields such as for identifying Diabetes Mellitus, Cervical Cancer, Alzheimer’s disease which could be useful for researchers involved in medical areas and projects that include biology, medicine, health care information technology is brought.
The Use of Semantic Web Technology in the Diagnosis Internal Diseases
TLDR
The most important results of this Research is the difficulty of making a decision about the existence of a particular disease and Called it unless its symptoms are completed to avoid similarities between the symptoms of Various diseases.
Domain and Schema Independent Ontology Verbalizing
TLDR
The complexity associated with semantic web-based knowledge representations such as RDF and OWL act as a serious bottleneck in reusability and knowledge dissemination linked with the semantic web, which would become a really challenging hurdle for non-computer specialists such as medical consultants, lawyers, criminologists who also wish to experience the benefits of semantic web -based technologies.
Query Expansion Using Medical Information Extraction for Improving Information Retrieval in French Medical Domain
TLDR
A query expansion method is presented that uses medical entities and their semantic relations in the query context based on an external resource in OWL to evaluate the effectiveness of an information retrieval system to support doctors in accessing easily relevant information.
Knowledge-driven machine learning based framework for early-stage disease risk prediction in edge environment
Towards a Pancreatic Lesions Disease Classification System based on Ontologies
TLDR
The architecture of the approach, the key processes, and the first steps of the experimental validation through the developed feasibility model are presented, which strongly reinforces the clinical potential of the developed method.
Arbitrary Verification of Ontology Increments using Natural Language
TLDR
A new QALD algorithm and QALD system designed with the usage of First Order Logic (FOL) are presented in order to address the shortcomings of current QALD mechanisms.
Fully Automated Ontology Increment`S user Guide Generation
TLDR
A special algorithm is created to alter the functionality of Google’s AliceBot to work as a verbalizer, instead of a chatterbot, to create the templates for the ontology specific knowledge embeddings.
...
1
2
...

References

SHOWING 1-10 OF 32 REFERENCES
Building an effective Semantic Web for health care and the life sciences
TLDR
Health Care and the Life Sciences are at the leading edge of applying advanced information technologies for the purpose of knowledge management and knowledge discovery, and the provisioning of Semantic Web services, such that they may be automatically discovered to answer a question, will be an essential component of deployingSemantic Web technologies as part of academic or commercial cyberinfrastructure.
Annotating the human genome with Disease Ontology
TLDR
A thesaurus-based approach that allows for comparisons to be made between disease containing databases and allows for increased accuracy in disease identification through synonym matching and demonstrates that annotating human genome with Disease Ontology and GeneRIF for diseases dramatically increases the coverage of the disease annotation of human genome.
Advancing translational research with the Semantic Web
TLDR
A scenario that shows the value of the information environment the Semantic Web can support for aiding neuroscience researchers is presented and several projects by members of the HCLSIG are reported, illustrating the range ofSemantic Web technologies that have applications in areas of biomedicine.
Methodology for the Design and Evaluation of Ontologies
TLDR
The goal of the TOVE (TOronto Virtual Enterprise) Enterprise Modelling project is to create the next generation Enterprise Model, a Common Sense Enterprise Model that has the ability to deduce answers to queries that require relatively shallow knowledge of the domain.
Towards pharmacogenomics knowledge discovery with the semantic web
TLDR
Progress in this area is illustrated with reference to the personalized medicine project that aims to facilitate pharmacogenomics knowledge discovery through intuitive knowledge capture and sophisticated question answering using automated reasoning over expressive ontologies.
Towards a Methodology for Building Ontologies
TLDR
Some requirements for a comprehensive methodology for building on tologies are outlined and some important work that has been done in the area which could contribute to this goal are reviewed.
Resource Description Framework (RDF)
TLDR
An introduction to RDF and its related vocabulary definition language RDF Schema is provided, and its relationship with the OWL Web Ontology Language is explained.
Ontologies: principles, methods and applications
TLDR
This paper outlines a methodology for developing and evaluating ontologies, first discussing informal techniques, concerning such issues as scoping, handling ambiguity, reaching agreement and producing definitions, and considers, a more formal approach.
Towards a framework to verify knowledge sharing technology
A method for the development of legal knowledge systems
TLDR
A generic legal ontology is proposed, and the creation of statute-specific ontologies are described to make the method more suitable for its purposes.
...
1
2
3
4
...