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If this system is made widely available, it has the potential to provide BSPM interoperability, knowledge sharing, and standardization.
Key challenges to be overcome are both technical and cultural and involve progressing issues related to cross-organisational, enterprise and application interoperability, knowledge management and developing a culture and framework supporting a community-based platform and collaborative projects emerging from the community foundation [68 70].
This format, if widely adopted could promote BSPM interoperability, knowledge sharing and data mining.
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The objective of this study was to establish the extent to which terminologies could be used for the design of ontologies, which could be serve as an aid to resolve problems such as semantic interoperability and knowledge reusability in healthcare information systems.
The semantic web and its resources play a fundamental role in data integration, data interoperability and knowledge discovery.
We assessed these solutions in terms of their target medical use case; the resources covered to achieve their objectives; and their use of existing semantic web resources for the purposes of data sharing, data interoperability and knowledge discovery.
The ontology-based approach can increase knowledge interoperability between different companies in EIP.
The main goal of this architecture is to ensure knowledge interoperability for networks of organizations, transcending the ontological view.
To evaluate how the translational medicine systems exploited the semantic web and its technologies, we assessed them in view of three fundamental parameters for data integration: (i) degree of data sharing, (ii) data interoperability and (iii) knowledge discovery.
The requirements for the interoperability of semantics and knowledge have become increasingly important in Product Lifecycle Management (PLM), in the drive towards knowledge-driven decision support in the manufacturing industry.
An ontological model of spatial data allows to incorporate the degree of linguistic consensus around a concept, which is also very useful with reference to the problem of interoperability and sharing of knowledge, as it allows to overcome, at least potentially some problems of ambiguity of the terms used.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com