1	"David" David De Roure
2	The what? The Semantic Grid is an extension of the current Grid in which information and services are given well-defined meaning, better enabling computers and people to work in cooperation The full richness of the Grid ambition depends upon realising the Semantic Grid, but for many it’s a mysterious hybrid of the Semantic Web and the Grid, both of which are subject to myths and misunderstandings This talk will explain the changing landscape of the Grid, and describe the bridge-building needed to achieve the Semantic Grid
3	Outline The e-Vision and its challenges Enabling Technologies Grid Semantic Web Semantic Grid Building Bridges
4	Vision: Collaboratory A collaboratory is
5	Vision: e-Science e-Science is about global collaboration in key areas of science and the next generation of [computing] infrastructure that will enable it e-Science will change the dynamic of the way science is undertaken
6	Vision: e-Research Not just new Science e-Social Science e-Humanities e-Arts e-Research e-Business e-Anything … And new disciplines!
7	Vision: HASTAC HASTAC is an international, interdisciplinary consortium which seeks to create, develop, advance and utilize a broad range of leading computing and information systems while contributing to an understanding of the interconnections between the human sciences, natural sciences, arts, and technology in a complex global society
8	Vision: Joining up These visions are all about joining resources and people together in new ways in order to create new things Researchers can focus on the real research The research process is accelerated New research results are possible New research areas are possible NB s/research/business/
9	Vision: The Grid
10	Vision: The Grid Grid computing has emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and, in some cases, high-performance orientation...we [define] the "Grid problem”…as flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and resources - what we refer to as virtual organizations From "The Anatomy of the Grid: Enabling Scalable Virtual Organizations" by Foster, Kesselman and Tuecke
11	Challenges: Unanticipated Re-use
12	Challenges: Data Integration
13	Challenges: Virtual Orgs Resource configurations are transient, dynamic and volatile as services (databases, sensors, compute servers) switched in and out They are ad-hoc as service consortia have no central location or control, and no existing trust relationships They may be large, with hundreds of services orchestrated at any time They may be long-lived, for example a protein folding simulation could take weeks
14	Challenges: Comp Sci Dynamic formation and management of virtual organisations Online negotiation of access to services: who, what, why, when, how Configuration of applications and systems able to deliver multiple qualities of service Autonomic management of distributed infrastructures, services, and applications Management of distributed state as a fundamental issue …
15	Outline The e-Vision and its challenges Enabling Technologies Grid Semantic Web Semantic Grid Building Bridges
16	Two infrastructure enablers On demand transparently constructed multi-organisational federations of distributed services Distributed computing middleware Computational Integration
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18	Five Myths busted! Isn’t it just for Physics? No – Grids for Life Science and Medicine will dominate Grid applications Think of the range and scale of data and the community! Isn’t it just High Performance computing? No – it’s a generic mechanism for forming, managing and disbanding dynamic federations of services Data integration, data access, data transport will dominate Application integration is the key
19	Five Myths busted! Isn’t it just a bag of protocols glued together? No – the Open Grid Service Architecture gives a well specified middleware stack built on industry standard web services Isn’t it just Globus toolkit? No – that is one reference implementation. Isn’t it just a bunch of academic physicists? No –all the commercial vendors are making serious investment. IBM DB2 and Oracle 10g will be grid-compliant
20	Grid Services
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22	Origins of the Semantic Web The Semantic Web is an extension of the current Web in which information is given a well-defined meaning, better enabling computers and people to work in cooperation. It is the idea of having data on the Web defined and linked in a way that it can be used for more effective discovery, automation, integration and reuse across various applications. The Web can reach its full potential if it becomes a place where data can be processed by automated tools as well as people. W3C Activity Statement
23	Layers of Languages
24	Resource Description Framework Common model for metadata A graph of triples Query over and link together RDQL, repositories, integration tools, presentation tools The Network Effect
25	OWL Web Ontology Language
26	5 More Myths Busted! Isn’t it just AI and distributed agents (again)? No – It is primarily metadata integration and querying Don’t you need all that reasoning stuff? No – A little bit of semantics goes a long way! (Hendler) It only applies to the Web? No – the technologies are being used for Enterprise integration, exposing data in a common model, common ontology languages, representing terminologies. One big ontology of everything never works! No – multiple ontologies; multiple everything! One big Semantic Web! No – lots of Semantic Web-lets, and expect it to break!
27	Outline The e-Vision and its challenges Enabling Technologies Grid Semantic Web Semantic Grid Building Bridges
28	The Semantic Grid Report 2001 At this time, there are a number of grid applications being developed and there is a whole raft of computer technologies that provide fragments of the necessary functionality. However there is currently a major gap between these endeavours and the vision of e-Science in which there is a high degree of easy-to-use and seamless automation and in which there are flexible collaborations and computations on a global scale. www.semanticgrid.org
29	Semantic Grid
30	Semantics in and on the Grid
31	Underpinnings of e-Science Contrast with…
32	Knowledge Grid
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35	Semantics in e-Science
36	Engineering Design
37	Ontologies for e-Science User-oriented, scalable environment for domain experts to acquire, develop and use ontologies Based on OilEd and Protégé 2000 Transatlantic cooperation on the development of ontologies for e-Science
38	Collaboration tools
39	NASA Scenario
40	Finding collaborators Using scaleable triple store and AKT ontology
41	GGF9 Semantic Grid Workshop The Role of Concepts in myGrid Carole Goble Planning and Metadata on the Computational Grid Jim Blythe Semantic support for Grid-Enabled Design Search in Engineering Simon Cox Knowledge Discovery and Ontology-based services on the Grid Mario Cannataro Attaching semantic annotations to service descriptions Luc Moreau Semantic Matching of Grid Resource Description Frameworks John Brooke Interoperability challenges in Grid for Industrial Applications Mike Surridge Semantic Grid and Pervasive Computing David De Roure
42	GGF11 Semantic Grid Workshop Engineering semantics: Costs and Benefits Simon Cox Designing Ontologies and Distributed Resource Discovery Services for an Earthquake Simulation Grid Marlon Pierce Exploring Williams-Beuren Syndrome Using myGrid Carole Goble Distributed Data Management and Integration Framework: The Mobius Project Shannon Hastings eBank UK - Linking Research Data, Scholarly Communication and Learning David De Roure Using the Semantic Grid to Build Bridges between Museums and Indigenous Communities Ronald Schroeter
43	E-Science Special Issue IEEE Intelligent Issue Special Issue on E-Science, Jan-Feb 2004 De Roure-Hendler challenges: Realizing the network effect Moving beyond centralized stores Automated assembly Collaboration tools
44	Self-Organizing Semantic Grid …Our self-organizing Semantic Grid is now a constantly evolving organism, with ongoing, autonomous processing rather than on-demand processing. This evolving, organic Grid can generate new processes and new knowledge.
45	Outline The e-Vision and its challenges Enabling Technologies Grid Semantic Web Semantic Grid Building Bridges
46	Building bridges
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49	Closing Remarks The Semantic Grid is needed to realise the Grid ambition and the e-Anything vision Both Grid and Semantic Web are about joining things up – building bridges To create this infrastructure we also need to build bridges – it needs the engagement of multiple research communities What can the Semantic Grid do for you, and what can you do for the Semantic Grid?
50	Contact David De Roure University of Southampton, UK dder@ecs.soton.ac.uk Carole Goble University of Manchester, UK carole@cs.man.ac.uk See www.semanticgrid.org
51	Acknowledgements