Ning Li's profile document
Description for Ning Li
Ning Li
Ning Li
Ning
Li
Research Associate
My research interest in KMi is mainly concerned with Semantic Web and Semantic Web Service. In particular, I have worked in the NeOn project on the aspects of ontology summarization and its evaluation, ontology summarized visualisation and navigation. In SmartProduct project, I have investigated the performance of rule-based reasoning on small devices. I having been working on providing invocation supports for generic Web APIs in the context of SOA4All project and mEducator project. I am currently working on SEALs project for supporting large-scale evaluation of Semantic Web Service technologies.
The Open University account for Ning Li
nl2538
Ning Li's membership at KMi
Ning Li's participation in NeOn
NeOn
NeOn
2006-03-01
2010-02-28
Lifecycle Support for Networked Ontologies
NeOn is a 4-year long flagship project funded by the European Commision's 6th Framework Programme. The Open University is its co-ordinator, and the project includes leading institutions from Europe in the area of knowledge modelling and ontologies.
NeOn aims to dramatically improve the support for ontology engineering, by developing both a reference architecture and a concrete toolkit supporting the ontology engineering lifecycle. Specifically, NeOn aims to be the foundational platform for the construction of very large semantic applications by facilitating the creation, management and evolution of networks of ontologies. It is envisaged that this approach will dramatically improve the cost-effectiveness of large-scale ontology engineering, by removing the need for a complete integration of pre-existing ontologies in an application, which is always expensive and often unfeasible.
The envisaged networks of ontologies will rely on localized integration mechanisms, which will be able to support local, 'good enough' notions of consistency, context and collaboration in the open networked environment.
Ning Li's participation in mEducator
mEducator
mEducator
2009-05-01
2012-04-30
Multi-type Content Repurposing and Sharing in Medical Education
mEducator Best Practice Network (BPN) aims to implement and critically evaluate existing standards and reference models in the field of e-learning in order to enable specialized state-of-the-art medical educational content to be discovered, retrieved, shared and re-used across European higher academic institutions.
Ning Li's participation in KC-Viz
KC-Viz
KC-Viz
A Novel Approach to Visualizing and Navigating Ontologies
Ning Li's participation in OmniVoke
OmniVoke
OmniVoke
A Framework for Automating the Invocation of Web APIs
OmniVoke is a framework that aims to automating the invocation of generic Web APIs. It provides a unique entry point for the invocation of most Web APIs that can be found on the Web. The framework abstracts away the heterogeneities of different APIs and consequently eliminates the need for developing a custom tailored client per Web API. OmniVoke relies on non-intrusive semantic annotations of HTML pages describing Web APIs, in order to capture both their semantics as well as the information necessary to carry out their invocation. The framework developed is based on RESTful principles to simplify its use and to adequately exploit the Web infrastructure for scalability.
Ning Li's participation in EUCLID
EUCLID
EUCLID
2012-05-01
2014-04-30
EdUcational Curriculum for the usage of LInked Data
As the popularity of Linked Data increases, so does the demand for data practitioners possessing the skills and knowledge necessary to understand its main concepts, and apply the associated technologies for data-analytics purposes. The availability of such expertise is a driver for the sustainable future development of the Linked Data community. It can be achieved through targeted knowledge transfer, in particular through easily accessible training programs addressing the real needs of data practitioners, as proposed in the EUCLID project.
EUCLID will facilitate professional training for data practitioners aiming to use Linked Data in their daily work, through a curriculum implemented as a combination of living learning materials and activities (eBook series, webinars, face-to-face training), validated by the user community through continuous feedback.