scholarly journals OMEN: A Probabilistic Ontology Mapping Tool

2005 ◽  
pp. 537-547 ◽  
Author(s):  
Prasenjit Mitra ◽  
Natasha F. Noy ◽  
Anuj Rattan Jaiswal
Keyword(s):  
Ontology Mapping ◽  
Mapping Tool ◽  
Probabilistic Ontology

Archetype-Based Semantic Interoperability of Web Service Messages in the Health Care Domain

2011 ◽  
pp. 279-302
Author(s):  
Veli Bicer ◽  
Ozgur Kilic ◽  
Asuman Dogac ◽  
Gokce B. Laleci
Keyword(s):  
Health Care ◽  
Web Service ◽  
Semantic Interoperability ◽  
Ontology Mapping ◽  
Mapping Tool ◽  
The Web

In this chapter, we describe an infrastructure enabling archetype-based semantic interoperability of Web service messages exchanged in the health care domain. We annotate the Web service messages with the OWL representation of the archetypes. Then, by providing the ontology mapping between the archetypes, we show that the interoperability of the Web service message instances can be achieved automatically. An OWL mapping tool, called OWLmt, has been developed for this purpose. OWLmt uses OWL-QL engine, which enables the mapping tool to reason over the source archetype instances while generating the target archetype instances according to the mapping patterns defined through a GUI.

SEMANTIC WIKI-BASED KNOWLEDGE MANAGEMENT SYSTEM BY INTERLEAVING ONTOLOGY MAPPING TOOL

2013 ◽  
Vol 23 (01) ◽  
pp. 51-63 ◽  
Author(s):  
JASON J. JUNG
Keyword(s):  
Knowledge Management ◽  
Task Performance ◽  
Ontology Mapping ◽  
Management Systems ◽  
Linguistic Resources ◽  
Mapping Tool ◽  
Conceptual Structures ◽  
User Groups ◽  
Semantic Wiki

Many organizations have been employing Knowledge Management Systems (KMS) to improve task performance. In this paper, we propose a novel KMS by using semantic wiki framework based on a centralized Global Wiki Ontology (GWO). The main aim of this system is (i) to collect as many organizational resources as possible, and (ii) to maintain semantic consistency of the system. When enriching the KMS in a particular domain, not only linguistic resources but also conceptual structures can be efficiently captured from multiple users, and more importantly, the resources can be automatically integrated with the GWO of the KMS in real time. Once users add new organization resources, the proposed KMS can formalize and contextualize them into a set of triplets by referring to a predefined pattern-triplet mapping table and the GWO. Especially, since the ontology mapper is interleaved, the KMS can determine whether the new resources are semantically conflicted with the GWO. To evaluate the proposed methodology, we have implemented the semantic wiki-based KMS. As a case study, two user groups were invited to collect the organization resources. We found that the group with the proposed KMS has shown better performance than the other group with traditional wiki-based KMS.

SEMANTIC SEARCH ENGINE BASED ON ONTOLOGY MAPPING

2017 ◽  
Author(s):  
Y. S. Novikova ◽  
D. Y. Tereshenko ◽  
S. E. Polyakov ◽  
A. N. Samoylov
Keyword(s):  
Search Engine ◽  
Ontology Mapping ◽  
Semantic Search ◽  
Semantic Search Engine

Using messy map interviews to describe and analyse elements pertinent to interviewees

2020 ◽  
pp. 146879412097993
Author(s):  
Maja Nordtug
Keyword(s):  
Decision Making ◽  
Qualitative Research ◽  
Human Papillomavirus ◽  
Human Papillomavirus Vaccination ◽  
Parental Decision ◽  
Mapping Tool ◽  
Parental Decision Making ◽  
Interview Studies

In this article, I introduce and evaluate the use of messy map interviews. Based on messy situational maps, messy map interviews is an interview tool I have developed to facilitate understanding of elements pertinent to interviewees. I present and evaluate how the tool contributes to interview studies that aim to describe and analyse elements pertinent to interviewees. This is done by use of an exemplar of working with messy map interviews, exploring parental decision-making about human papillomavirus vaccination. Based on the results, the study shows that messy map interviews can help keep qualitative research loyal to what interviewees ascribe relevance to. Furthermore, the tool can potentially help nuance the analysis of how elements are understood by interviewees. The article concludes that messy map interviews can be a useful mapping tool that keeps interviewees’ perspectives in focus in interview studies.

scholarly journals A systematic approach to context-mapping to prepare for health interventions: development and validation of the SETTING-tool in four countries

2021 ◽  
Vol 6 (1) ◽  
pp. e003221
Author(s):  
Evelyn A Brakema ◽  
Rianne MJJ van der Kleij ◽  
Charlotte C Poot ◽  
Niels H Chavannes ◽  
Ioanna Tsiligianni ◽  
...  
Keyword(s):  
Health Workers ◽  
Rapid Assessment ◽  
Implementation Strategies ◽  
Implementation Fidelity ◽  
Chronic Respiratory Disease ◽  
Health Interventions ◽  
Successful Implementation ◽  
Mapping Tool ◽  
Implementation Failure ◽  
Development And Validation

Effectiveness of health interventions can be substantially impaired by implementation failure. Context-driven implementation strategies are critical for successful implementation. However, there is no practical, evidence-based guidance on how to map the context in order to design context-driven strategies. Therefore, this practice paper describes the development and validation of a systematic context-mapping tool. The tool was cocreated with local end-users through a multistage approach. As proof of concept, the tool was used to map beliefs and behaviour related to chronic respiratory disease within the FRESH AIR project in Uganda, Kyrgyzstan, Vietnam and Greece. Feasibility and acceptability were evaluated using the modified Conceptual Framework for Implementation Fidelity. Effectiveness was assessed by the degree to which context-driven adjustments were made to implementation strategies of FRESH AIR health interventions. The resulting Setting-Exploration-Treasure-Trail-to-Inform-implementatioN-strateGies (SETTING-tool) consisted of six steps: (1) Coset study priorities with local stakeholders, (2) Combine a qualitative rapid assessment with a quantitative survey (a mixed-method design), (3) Use context-sensitive materials, (4) Collect data involving community researchers, (5) Analyse pragmatically and/or in-depth to ensure timely communication of findings and (6) Continuously disseminate findings to relevant stakeholders. Use of the tool proved highly feasible, acceptable and effective in each setting. To conclude, the SETTING-tool is validated to systematically map local contexts for (lung) health interventions in diverse low-resource settings. It can support policy-makers, non-governmental organisations and health workers in the design of context-driven implementation strategies. This can reduce the risk of implementation failure and the waste of resource potential. Ultimately, this could improve health outcomes.

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