A distributed, service-based framework for knowledge applications with multimedia

Dupplaw, David; Dasmahapatra, Srinandan; Hu, Bo; Lewis, Paul; Shadbolt, Nigel

doi:10.1145/1629096.1629100

Cited by 5 publications

(5 citation statements)

References 19 publications

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“…Finally, besides semantic and equipment integration, also the service integration is debated in literature. An ontology-driven framework was attempted to provide knowledge management for data of different modalities (e.g., by remote services in supporting multidisciplinary meetings that take place during breast cancer) (Dupplaw, et al, 2009). Furthermore, it is frequent to discuss the interoperability and integration of knowledge issue in less favoured contexts.…”

Section: Figure 3: Evolution Of Citations Between 2009 and 2019mentioning

confidence: 99%

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

Rosário¹,

Vilaça²,

Raimundo³

et al. 2021

EJKM

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Health care institutions (HCI in further text) are in constant interplay with their context, generating ensuing opportunities and threats. Knowledge management has been paramount when it comes to integrating state-of-art technologies in order to improve system efficiency and decision processes in hospital management outputs. Thus, it is pivotal to explain the role of knowledge management in hospital management. Research of peer-reviewed articles published from 2009 to 2019, and obtained via the Scopus database, was carried out based on two key subjects, ‘knowledge management’ and ‘health care institutions’. The research was performed through a descriptive, quantitative and qualitative analysis of the most cited 47 scientific articles found in the SCOPUS database. We conclude that 'knowledge management' (KM in further text) has become an important research area in terms of HCI management. The article identifies the central themes in KM research in HCI. However, the area on KM literature is highly fragmented, requiring development. Based on an analysis of the collected literature, we identified the key research themes and resulting development patterns, namely, the integration and interoperability of knowledge from different sources into a single platform, occupational safety, the need to ascertain quality and pertinent information among general web information, culture and social behaviour and data security. We posit that KM effectively facilitates the utilization of healthcare information resources and management decision making in hospitals.

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Section: Figure 3: Evolution Of Citations Between 2009 and 2019mentioning

confidence: 99%

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

Rosário¹,

Vilaça²,

Raimundo³

et al. 2021

EJKM

View full text Add to dashboard Cite

show abstract

“…This would allow development of ambitious applications over shared data sources. Ouksel and Sheth [1999] state that, "Metadata [40], Contexts [14] and Ontologies [40] are identified as the three key components of solution. "…”

Section: Levels Of Interoperabilitymentioning

confidence: 99%

“…Computer and Information Science is deeply influencing both research and development in the emerging field of Health Informatics [7,14] (aka Healthcare Informatics). As per the authors Donabedian [1966], "Health informatics can be regarded as being concerned with the structures and processes, as well as the outcomes involved in the use of information and communications technologies within health.…”

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confidence: 99%

Semantic Interoperability and Data Mapping in EHR Systems

Janaswamy

Kent

2016

2016 IEEE 6th International Conference on Advanced Computing (IACC)

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I hereby certify that I am the sole author of this thesis and that no part of this thesis has been published or submitted for publication. I certify that, to the best of my knowledge, my thesis does not infringe upon anyone's copyright nor violate any proprietary rights and that any ideas, techniques, quotations, or any other material from the work of other people included in my thesis, published or otherwise, are fully acknowledged in accordance with the standard referencing practices. Furthermore, to the extent that I have included copyrighted material that surpasses the bounds of fair dealing within the meaning of the Canada Copyright Act, I certify that I have obtained a written permission from the copyright owner(s) to include such material(s) in my thesis and have included copies of such copyright clearances to my appendix. I declare that this is a true copy of my thesis, including any final revisions, as approved by my thesis committee and the Graduate Studies office, and that this thesis has not been submitted for a higher degree to any other University or Institution.

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“…As an example, Google uses a knowledge graph for its search engine 1 . In the recent literature, a number of interesting works integrating different knowledge-driven contexts have been presented, for instance in medical imaging and advanced knowledge technologies for cancer diagnosis [4], or personalized web browsing and search by the construction of user models based on a semantic representation of the user activity [16]. Other approaches propose conceptual frameworks supporting context-specific naming and representation of conceptual entities and related action executions [9].…”

Section: Introductionmentioning

confidence: 99%

MeSoOnTV

Antonini¹,

Vignaroli

Schifanella³

et al. 2013

Proceedings of the 24th ACM Conference on Hypertext and Social Media

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Searching, browsing and analyzing web contents is today a challenging problem when compared to early Internet ages. This is due to the fact that web content is multimedial, social and dynamic. Moreover, concepts referred by videos, news, comments, posts, are implicitly linked by the fact that people on the Web talks about something, somewhere at some time and these connections may change as the perception of users on the Web changes over time. We define a model for the integration of the heterogeneous and dynamic data coming from different knowledge sources (broadcasters' archives, online newspapers, blogs, web encyclopedias, social media platforms, social networks, etc.). We use a knowledge graph to model all the heterogenous aspects of the information in an homogeneous way. Through a case study on social TV, we provide a non trivial cross-domain analysis scenario on real data gathered from YouTube and Twitter, and related to an Italian TV talk show on politics, broadcasted by RAI, the Italian public-service broadcasting organization.

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A distributed, service-based framework for knowledge applications with multimedia

Cited by 5 publications

References 19 publications

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

Semantic Interoperability and Data Mapping in EHR Systems

MeSoOnTV

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