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Norman Paton
Norman William Paton is a Professor in the Department of Computer Science at the University of Manchester in the UK where he co-leads the Information Management Group (IMG) with Carole Goble. Education Paton was educated at the University of Aberdeen where he was awarded a first class Bachelor of Science degree in Computing Science in 1986 and a PhD in 1989 for research into object-oriented database systems using Prolog supervised by Peter Gray. Research Paton's research interests are currently in distributed information management including dataspaces, query processing in wireless sensor networks, autonomic computing, workflow management, and data management for systems biology. His research has been funded by the EPSRC, the BBSRC and the European Union. Paton has also been active in the Open Grid Forum (OGF), Proteomics Standards Initiative (PSI) and the Manchester Centre for Integrative Systems Biology (MCISB). Teaching Paton has taught on several database In comp ...
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Information Integration
Information integration (II) is the merging of information from heterogeneous sources with differing conceptual, contextual and typographical representations. It is used in data mining and consolidation of data from unstructured or semi-structured resources. Typically, ''information integration'' refers to textual representations of knowledge but is sometimes applied to rich-media content. Information fusion, which is a related term, involves the combination of information into a new set of information towards reducing redundancy and uncertainty. Examples of technologies available to integrate information include deduplication, and string metrics which allow the detection of similar text in different data sources by fuzzy matching. A host of methods for these research areas are available such as those presented in the International Society of Information Fusion. Other methods rely on causal estimates of the outcomes based on a model of the sources.P.K. Davis, D. Manheim, W.L. Perr ...
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Distributed Computing
A distributed system is a system whose components are located on different computer network, networked computers, which communicate and coordinate their actions by message passing, passing messages to one another from any system. Distributed computing is a field of computer science that studies distributed systems. The components of a distributed system interact with one another in order to achieve a common goal. Three significant challenges of distributed systems are: maintaining concurrency of components, overcoming the clock synchronization, lack of a global clock, and managing the independent failure of components. When a component of one system fails, the entire system does not fail. Examples of distributed systems vary from service-oriented architecture, SOA-based systems to massively multiplayer online games to peer-to-peer, peer-to-peer applications. A computer program that runs within a distributed system is called a distributed program, and ''distributed programming' ...
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Proteomics Standards Initiative
The Proteomics Standards Initiative (PSI) is a working group of the Human Proteome Organization. It aims to define data standards for proteomics to facilitate data comparison, exchange and verification. The Proteomics Standards Initiative focuses on the following subjects: minimum information about a proteomics experiment defines the metadata that should be provided along with a proteomics experiment. a data markup language for encoding the data, and metadata ontologies for consistent annotation and representation. Minimum information about a proteomics experiment Minimum information about a proteomics experiment (MIAPE) is a minimum information standard, created by the Proteomics Standards Initiative of the Human Proteome Organization, for reporting proteomics experiments. You can't just introduce the results of an analysis, it is intended to specify all the information necessary to interpret the experiment results unambiguously and to potentially reproduce the experiment. Wh ...
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Open Grid Forum
The Open Grid Forum (OGF) is a community of users, developers, and vendors for standardization of grid computing. It was formed in 2006 in a merger of the Global Grid Forum and the Enterprise Grid Alliance. The OGF models its process on the Internet Engineering Task Force (IETF), and produces documents with many acronyms such as OGSA, OGSI, and JSDL. Organization The OGF has two principal functions plus an administrative function: being the standards organization for grid computing, and building communities within the overall grid community (including extending it within both academia and industry). Each of these function areas is then divided into groups of three types: ''working groups'' with a generally tightly defined role (usually producing a standard), ''research groups'' with a looser role bringing together people to discuss developments within their field and generate use cases and spawn working groups, and ''community groups'' (restricted to community functions). ...
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European Union
The European Union (EU) is a supranational political and economic union of member states that are located primarily in Europe. The union has a total area of and an estimated total population of about 447million. The EU has often been described as a '' sui generis'' political entity (without precedent or comparison) combining the characteristics of both a federation and a confederation. Containing 5.8per cent of the world population in 2020, the EU generated a nominal gross domestic product (GDP) of around trillion in 2021, constituting approximately 18per cent of global nominal GDP. Additionally, all EU states but Bulgaria have a very high Human Development Index according to the United Nations Development Programme. Its cornerstone, the Customs Union, paved the way to establishing an internal single market based on standardised legal framework and legislation that applies in all member states in those matters, and only those matters, where the states have agreed to act ...
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Biotechnology And Biological Sciences Research Council
Biotechnology and Biological Sciences Research Council (BBSRC), part of UK Research and Innovation, is a non-departmental public body (NDPB), and is the largest UK public funder of non-medical bioscience. It predominantly funds scientific research institutes and university research departments in the UK. Purpose Receiving its funding through the science budget of the Department for Business, Energy and Industrial Strategy (BEIS), BBSRC's mission is to "promote and support, by any means, high-quality basic, strategic and applied research and related postgraduate training relating to the understanding and exploitation of biological systems". Structure BBSRC's head office is at Polaris House in Swindon - the same building as the other councils of UK Research and Innovation, AHRC EPSRC, ESRC, Innovate UK, MRC, NERC, Research England and STFC, as well as the UKSA. Funded by Government, BBSRC invested over £498 million in bioscience in 2017–18. BBSRC also manages the joint ...
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Engineering And Physical Sciences Research Council
The Engineering and Physical Sciences Research Council (EPSRC) is a British Research Council that provides government funding for grants to undertake research and postgraduate degrees in engineering and the physical sciences, mainly to universities in the United Kingdom. EPSRC research areas include mathematics, physics, chemistry, artificial intelligence and computer science, but exclude particle physics, nuclear physics, space science and astronomy (which fall under the remit of the Science and Technology Facilities Council). Since 2018 it has been part of UK Research and Innovation, which is funded through the Department for Business, Energy and Industrial Strategy. History EPSRC was created in 1994. At first part of the Science and Engineering Research Council (SERC), in 2018 it was one of nine organisations brought together to form UK Research and Innovation (UKRI). Its head office is in Swindon, Wiltshire in the same building (Polaris House) that houses the AHRC, BBSRC ...
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Systems Biology
Systems biology is the computational modeling, computational and mathematical analysis and modeling of complex biological systems. It is a biology-based interdisciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach (holism instead of the more traditional reductionist, reductionism) to biological research. Particularly from the year 2000 onwards, the concept has been used widely in biology in a variety of contexts. The Human Genome Project is an example of applied systems thinking in biology which has led to new, collaborative ways of working on problems in the biological field of genetics. One of the aims of systems biology is to model and discover emergent property, emergent properties, properties of cell (biology), cells, tissue (biology), tissues and organisms functioning as a system whose theoretical description is only possible using techniques of systems biology. These typically involve metabolic networks or cell ...
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Workflow
A workflow consists of an orchestrated and repeatable pattern of activity, enabled by the systematic organization of resources into processes that transform materials, provide services, or process information. It can be depicted as a sequence of operations, the work of a person or group, the work of an organization of staff, or one or more simple or complex mechanisms. From a more abstract or higher-level perspective, workflow may be considered a view or representation of real work. The flow being described may refer to a document, service, or product that is being transferred from one step to another. Workflows may be viewed as one fundamental building block to be combined with other parts of an organization's structure such as information technology, teams, projects and hierarchies. Historical development The development of the concept of a workflow occurred above a series of loosely defined, overlapping eras. Beginnings in manufacturing The modern history of workflows ca ...
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Autonomic Computing
Autonomic computing (AC) is distributed computing resources with self-managing characteristics, adapting to unpredictable changes while hiding intrinsic complexity to operators and users. Initiated by IBM in 2001, this initiative ultimately aimed to develop computer systems capable of self-management, to overcome the rapidly growing complexity of computing systems management, and to reduce the barrier that complexity poses to further growth. Description The AC system concept is designed to make adaptive decisions, using high-level policies. It will constantly check and optimize its status and automatically adapt itself to changing conditions. An autonomic computing framework is composed of autonomic components (AC) interacting with each other. An AC can be modeled in terms of two main control schemes (local and global) with sensors (for self-monitoring), effectors (for self-adjustment), knowledge and planner/adapter for exploiting policies based on self- and environment awarene ...
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Wireless Sensor Network
Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind. These are similar to wireless ad hoc networks in the sense that they rely on wireless connectivity and spontaneous formation of networks so that sensor data can be transported wirelessly. WSNs monitor physical conditions, such as temperature, sound, and pressure. Modern networks are bi-directional, both collecting data and enabling control of sensor activity. The development of these networks was motivated by military applications such as battlefield surveillance. Such networks are used in industrial and consumer applications, such as industrial process monitoring and control and machine health monitoring. A WSN is built of "nodes" – from a few to hundreds or th ...
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Query Optimization
Query optimization is a feature of many relational database management systems and other databases such as NoSQL and graph databases. The query optimizer attempts to determine the most efficient way to execute a given query by considering the possible query plans. Generally, the query optimizer cannot be accessed directly by users: once queries are submitted to the database server, and parsed by the parser, they are then passed to the query optimizer where optimization occurs. However, some database engines allow guiding the query optimizer with hints. A query is a request for information from a database. It can be as simple as "find the address of a person with Social Security number 123-45-6789," or more complex like "find the average salary of all the employed married men in California between the ages 30 to 39 who earn less than their spouses." The result of a query is generated by processing the rows in a database in a way that yields the requested information. Since databa ...
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