The use of web ontology languages and other semantic web tools in drug discovery

2010 ◽  
Vol 5 (5) ◽  
pp. 413-423 ◽  
Author(s):  
Huajun Chen ◽  
Guotong Xie
Keyword(s):  
Drug Discovery ◽  
Semantic Web ◽  
Web Tools ◽  
Ontology Languages

scholarly journals A new wave of innovation in Semantic web tools for drug discovery

2019 ◽  
Vol 14 (5) ◽  
pp. 433-444 ◽  
Author(s):  
Samantha Kanza ◽  
Jeremy Graham Frey
Keyword(s):  
Drug Discovery ◽  
Semantic Web ◽  
New Wave ◽  
Web Tools

scholarly journals A REVIEW ON SEMANTIC WEB

2020 ◽  
Vol 6 (12) ◽  
pp. 22-28
Author(s):  
Komal Dhulekar ◽  
Madhuri Devrankar
Keyword(s):  
Semantic Web ◽  
Modeling Languages ◽  
Technological Basis ◽  
Topic Maps ◽  
Cross Domain ◽  
Meta Information ◽  
Ontology Languages ◽  
Description Framework ◽  
Machine Processing ◽  
The Web

Semantic web is a concept that enables better machine processing of information on the web, by structuring documents written for the web in such a way that they become understandable by machines. This can be used for creating more complex applications (intelligent browsers, more advanced web agents), etc. Semantic modeling languages like the Resource Description Framework (RDF) and topic maps employ XML syntax to achieve this objective. New tools exploit cross domain vocabularies to automatically extract and relate the meta information in a new context. Web Ontology languages like DAML+OIL extend RDF with richer modeling primitives and a provide a technological basis to enable the Semantic Web. The logic languages for Semantic Web are described (which build on the of RDF and ontology languages). They, together with digital signatures, enable a web of trust, which will have levels of trust for its resources and for the rights of access, and will enable generating proofs, for the actions and resources on the web.

A Semantic Web Pragmatic Approach to Develop Clinical Ontologies, and thus Semantic Interoperability, based in HL7 v2.xml Messaging

2013 ◽  
pp. 205-214 ◽  
Author(s):  
David Mendes ◽  
Irene Pimenta Rodrigues
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Knowledge Representation ◽  
Ontology Mapping ◽  
Knowledge Representation And Reasoning ◽  
Healthcare Applications ◽  
Current Trends ◽  
Web Tools ◽  
Ontology Population ◽  
Tools And Techniques

The ISO/HL7 27931:2009 standard intends to establish a global interoperability framework for healthcare applications. However, being a messaging related protocol, it lacks a semantic foundation for interoperability at a machine treatable level intended through the Semantic Web. There is no alignment between the HL7 V2.xml message payloads and a meaning service like a suitable ontology. Careful application of Semantic Web tools and concepts can ease the path to the fundamental concept of Shared Semantics. In this chapter, the Semantic Web and Artificial Intelligence tools and techniques that allow aligned ontology population are presented and their applicability discussed. The authors present the coverage of HL7 RIM inadequacy for ontology mapping and how to circumvent it, NLP techniques for semi-automated ontology population, and the current trends about knowledge representation and reasoning that concur to the proposed achievement.

Discovering Complex Relationships of Drugs over Distributed Knowledgebases

2016 ◽  
pp. 1572-1591
Author(s):  
Juan Li ◽  
Ranjana Sharma ◽  
Yan Bai
Keyword(s):  
Drug Discovery ◽  
Semantic Web ◽  
Distributed System ◽  
Large Scale ◽  
The Internet ◽  
Full Potential ◽  
Web Data ◽  
Semantic Relationships ◽  
Complex Relationships

Drug discovery is a lengthy, expensive and difficult process. Indentifying and understanding the hidden relationships among drugs, genes, proteins, and diseases will expedite the process of drug discovery. In this paper, we propose an effective methodology to discover drug-related semantic relationships over large-scale distributed web data in medicine, pharmacology and biotechnology. By utilizing semantic web and distributed system technologies, we developed a novel hierarchical knowledge abstraction and an efficient relation discovery protocol. Our approach effectively facilitates the realization of the full potential of harnessing the collective power and utilization of the drug-related knowledge scattered over the Internet.

A Basis for the Semantic Web and E-Business

2007 ◽  
pp. 212-235
Author(s):  
Changqing Li ◽  
Tok W. Ling
Keyword(s):  
Semantic Web ◽  
Semantic Information ◽  
Ontology Language ◽  
Integrated Environment ◽  
Ontology Languages

This chapter introduces how to effectively organize ontology languages and ontologies and how to efficiently process semantic information based on ontologies. In this chapter we propose the hierarchies to organize ontology languages and ontologies. Based on the hierarchy of ontology languages, the ontology designers need not bear in mind which ontology language the primitives exactly come from, also we can automatically and seamlessly use the ontologies defined with different ontology languages in an integrated environment. Based on the hierarchy of ontologies, the conflicts in different ontologies are resolved, thus the semantics in different ontologies are clear without ambiguities. Also, these semantic-clear ontologies can be used to efficiently process the semantic information in Semantic Web and e-business.

Ontologies for Scalable Services-Based Ubiquitous Computing

2011 ◽  
pp. 88-106
Author(s):  
Daniel Oberle ◽  
Christof Bornhovd ◽  
Michael Altenhofen
Keyword(s):  
Semantic Web ◽  
Ubiquitous Computing ◽  
Real Time ◽  
High Impact ◽  
General Level ◽  
Logical Rule ◽  
Problems And Solutions ◽  
Pros And Cons ◽  
Ontology Languages

This chapter discusses scalability problems and solutions to services-based ubiquitous computing applications in real time enterprises. The scalability problems are (1) identifying relevant services for deployment, (2) verifying a composition by a logical rule framework, and (3) enabling the mapping of required services to the “best” available device. We argue that ontologies can help to counter these challenges. Subsequently, we provide a detailed introduction to ontologies. We focus on the ontology languages emerging from the corresponding W3C Semantic Web activity. The W3C recommendations have a high impact on future tools and the interoperability of ontology-based applications. We contrast the pros and cons of ontologies at a general level and demonstrate the benefits and challenges in our concrete smart items middleware.

Web Ontology Languages

2011 ◽  
pp. 96-109 ◽  
Author(s):  
G. Antoniou
Keyword(s):  
Semantic Web ◽  
General Introduction ◽  
Ontology Languages ◽  
Current Standards ◽  
The Web ◽  
Open Issues

Web ontology languages will be the main carriers of the information that we will want to share and integrate. The aim of this chapter is to give a general introduction to some of the ontology languages that play a prominent role on the Semantic Web. In particular, it will explain the role of ontologies on the Web and in ICT, review the current standards of RDFS and OWL, and discuss open issues for further developments.

Ontology languages and Geospatial Semantic Web

2015 ◽  
pp. 57-88
Author(s):  
Chuanrong Zhang ◽  
Tian Zhao ◽  
Weidong Li
Keyword(s):  
Semantic Web ◽  
Ontology Languages
Sign in / Sign up

Export Citation Format

Share Document