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KMi Seminars
Some challenges for large-scale data management
This event took place on Wednesday 13 March 2013 at 11:30

Dr. Jose Manuel Gomez-Perez Intelligent Software Components (iSOCO)


The digital universe is booming, especially in terms of the amount of

metadata and user-generated data available. This raises serious data

management challenges, including the identification, amongst all such

data, of the particular data pieces relevant to a specific purpose and

the observation of the lifecycle of those data entities. Finer grain

challenges include evolution and versioning and the impact that change

and non availability of resources may have on depending applications,

causing decay and eventually malfunction. In this talk, we focus on

these challenges with special emphasis on the preservation and reuse

of scientific workflows in data-intensive research. We introduce the

concept of workflow-centric Research Object (RO) as the means to

identify and structure the relevant resources for the execution of

workflows and to ensure the replicability of their results, addressing

data as first-class citizens. We also analyze the main reasons for

workflow (and therefore RO) decay in this particular domain and

propose methods and tools for its prevention. Finally, we reflect on

the lessons learnt and the potential use of these concepts in other

data-intensive domains.



 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Semantic Web and Knowledge Services is...


Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...

Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.