Dave Lambert's profile document
Description for Dave Lambert
Dave Lambert
Dave Lambert
Dave
Lambert
Research Associate
I was a Research Associate, working with John Domingue et al on semantic
web services. I initially worked on the SOA4All and SOFI projects, but ended up working on many other things, including the NoTube project and the Annomation tool.
The Open University account for Dave Lambert
djl432
Dave Lambert's membership at KMi
Dave Lambert's participation in Internet Reasoning Service (IRS)
Internet Reasoning Service (IRS)
Internet Reasoning Service (IRS)
KMi's Semantic Web Services framework
The Internet Reasoning Service - IRS - is a Semantic Web Services framework, which allows applications to semantically describe and execute web services. The IRS supports the provision of semantic reasoning services within the context of the Semantic Web.
Dave Lambert's participation in OCML
OCML
OCML
Operational Conceptual Modelling Language
The OCML language was designed and implemented by Enrico Motta in the 90s and it has since been used in dozens of projects both within KMi and in other organizations. OCML provides a very expressive knowledge representation language, which makes it possible to represent classes, individuals, relations, functions, rules and constraints. The resulting ‘knowledge models’ are typically developed as part of knowledge management solutions or intelligent decision-making support systems.
OCML also includes mechanisms for defining ontologies and problem solving methods. Ontologies are specifications of reusable terminologies, while problem solving methods are specifications of reusable problem solving behaviours.
Dave Lambert's participation in Living Human Digital Library
Living Human Digital Library
Living Human Digital Library
2006-02-01
2009-01-31
Technical infrastructure for the Living Human Project
LHDL is a STREP Project under the European Commission's 6th Framework Programme. It starts in February 2006 and runs for 3 years.
The major mission of LHDL is to further develop interactive digital library services to access collections of complex biomedical data on the musculoskeletal apparatus.
LHDL aims to create the technical infrastructure for the Living Human Project (LHP). LHP will create a silico model of the human musculo-skeletal apparatus wich can predict how mechanical forces are exchanged internally and externally, from the whole body down to the protein level. This model should be designed as an infrastructure that can be updated and extended whenever new data and algorithms become available. LHDL aims to develop this infrastructure.
Dave Lambert's participation in Service Web 3.0
Service Web 3.0
Service Web 3.0
2008-01-01
2010-12-31
Coordinating the research, standardization, and dissemination activites creating the internet of billions of web services.
It is the mission of Service Web 3.0 to address these emerging developments and contribute to the implementation of framework programmes and their projects, and support the preparation of future community research and technological development.
The focus of Service Web 3.0 will be to:
<ul>
<li class="list"><span class="body">Create, maintain, and publish roadmaps as a means to plan and coordinate framework and community activities for a future service world</span></li>
<li class="list"><span class="body">Set-up of dedicated cross-project clusters focusing on Semantic Web Services within STI International</span></li>
<li class="list"><span class="body">Provide information material such as white papers, feasibility studies, promotional movies for raising the awareness for the technology in industry, introducing new business models and systematically facilitating Semantic Web Services and Semantic Web technology adoption, in particular for SMEs</span></li>
<li class="list"><span class="body">Support standardization activities for semantic service descriptions</span></li>
<li class="list"><span class="body">Exploit synergies through networking and cross-fertilization with other research and network projects related to this area</span></li>
<li class="list"><span class="body">Organize special focused conferences and seminars</span></li></ul>
Dave Lambert's participation in SugarTube
SugarTube
SugarTube
Semantic Searching
Searching for information, data, and multimedia resources that are semantically related is a key feature of future Internet. Today's path to achieving that vision lies through the Linked Open Data (LOD) cloud of RDF data. SugarTube (Semantics Used to Get Annotated video Recording) is a Web3.0 application to search for videos through RDF-based annotated video stored as part of the Open University Broadcast Unit's learning material. The fundamental technology used to develop the application is Semantic Web Services. Users can search based on keywords, textual analysis of related documents, URLs, or geographical maps. Moreover, SugarTube gathers more useful data from the LOD cloud to enrich the search results, such as related events, people, knowledge, websites, geo-location, maps, and additional video streams from YouTube, the BBC, and OpenLearn.
Dave Lambert's participation in SOFI
SOFI
SOFI
2010-06-01
2012-05-31
Service Offering for the Future Internet
The goal of SOFI is to complement EU R&D projects in the area of Internet of Services, Software and Virtualisation (Objective 1.2) through specific support activities. SOFI aims to ensure the position of European research as a leader in the definition and realisation of the theoretical and technological foundations of the Future Internet of Services, as well as European industry's competitive advantage in the creation of value and new opportunities from its use. SOFI will build upon and complement the current efforts around the Future Internet Assembly, and particularly the service related working groups, most specifically the Future Internet Service Offer WG (FISO).
Dave Lambert's participation in Annomation
Annomation
Annomation
Semantically annotating motion video
Video is a big part of the Web: we download billions of videos from YouTube every month, stream Hollywood movies and TV programmes, and educate ourselves with iTunes U podcasts. But finding the right video now is a bit like finding the right Web page was back in the 1990s: we are limited to searching the smattering of keywords that occured to the video's creator. Annomation makes it easy for people to add semantic annotations using Web 3.0 techniques: videos, and segments in the video, can be described by links to concepts in DBpedia, the Library of Congress and Dewey classifications, geographical data sets, and other parts of the Semantic Web Linked Data Cloud.