4,141 research outputs found
Data DNA: The Next Generation of Statistical Metadata
Describes the components of a complete statistical metadata system and suggests ways to create and structure metadata for better access and understanding of data sets by diverse users
Technical evaluation of the mEducator 3.0 linked data-based environment for sharing medical educational resources
mEducator 3.0 is a content sharing approach for medical education, based on Linked Data principles. Through standardization, it enables sharing and discovery of medical information. Overall the mEducator project seeks to address the following two different approaches, mEducator 2.0, based on web 2.0 and ad-hoc Application Programmers Interfaces (APIs), and mEducator 3.0, which builds upon a collection of Semantic Web Services that federate existing sources of medical and Technology Enhanced Learning (TEL) data. The semantic mEducator 3.0 approach It has a number of different instantiations, allowing flexibility and choice. At present these comprise of a standalone social web-based instantiation (MetaMorphosis+) and instantiations integrated with Drupal, Moodle and OpenLabyrinth systems. This paper presents the evaluation results of the mEducator 3.0 Linked Data based environment for sharing medical educational resources and focuses on metadata enrichment, conformance to the requirements and technical performance (of the MetaMorphosis+ and Drupal instantiations)
A FRAMEWORK FOR BIOPROFILE ANALYSIS OVER GRID
An important trend in modern medicine is towards individualisation of healthcare to tailor
care to the needs of the individual. This makes it possible, for example, to personalise
diagnosis and treatment to improve outcome. However, the benefits of this can only be fully
realised if healthcare and ICT resources are exploited (e.g. to provide access to relevant data,
analysis algorithms, knowledge and expertise). Potentially, grid can play an important role
in this by allowing sharing of resources and expertise to improve the quality of care. The
integration of grid and the new concept of bioprofile represents a new topic in the healthgrid
for individualisation of healthcare.
A bioprofile represents a personal dynamic "fingerprint" that fuses together a person's
current and past bio-history, biopatterns and prognosis. It combines not just data, but also
analysis and predictions of future or likely susceptibility to disease, such as brain diseases
and cancer. The creation and use of bioprofile require the support of a number of healthcare
and ICT technologies and techniques, such as medical imaging and electrophysiology and
related facilities, analysis tools, data storage and computation clusters. The need to share
clinical data, storage and computation resources between different bioprofile centres creates
not only local problems, but also global problems.
Existing ICT technologies are inappropriate for bioprofiling because of the difficulties in the
use and management of heterogeneous IT resources at different bioprofile centres. Grid as an
emerging resource sharing concept fulfils the needs of bioprofile in several aspects, including
discovery, access, monitoring and allocation of distributed bioprofile databases, computation
resoiuces, bioprofile knowledge bases, etc. However, the challenge of how to integrate the
grid and bioprofile technologies together in order to offer an advanced distributed bioprofile
environment to support individualized healthcare remains.
The aim of this project is to develop a framework for one of the key meta-level bioprofile
applications: bioprofile analysis over grid to support individualised healthcare. Bioprofile
analysis is a critical part of bioprofiling (i.e. the creation, use and update of bioprofiles).
Analysis makes it possible, for example, to extract markers from data for diagnosis and to
assess individual's health status. The framework provides a basis for a "grid-based" solution
to the challenge of "distributed bioprofile analysis" in bioprofiling. The main contributions
of the thesis are fourfold:
A. An architecture for bioprofile analysis over grid. The design of a suitable aichitecture
is fundamental to the development of any ICT systems. The architecture creates a
meaiis for categorisation, determination and organisation of core grid components to
support the development and use of grid for bioprofile analysis;
B. A service model for bioprofile analysis over grid. The service model proposes a
service design principle, a service architecture for bioprofile analysis over grid, and
a distributed EEG analysis service model. The service design principle addresses
the main service design considerations behind the service model, in the aspects of
usability, flexibility, extensibility, reusability, etc. The service architecture identifies
the main categories of services and outlines an approach in organising services to
realise certain functionalities required by distributed bioprofile analysis applications.
The EEG analysis service model demonstrates the utilisation and development of
services to enable bioprofile analysis over grid;
C. Two grid test-beds and a practical implementation of EEG analysis over grid. The two
grid test-beds: the BIOPATTERN grid and PlymGRID are built based on existing
grid middleware tools. They provide essential experimental platforms for research in
bioprofiling over grid. The work here demonstrates how resources, grid middleware
and services can be utilised, organised and implemented to support distributed EEG
analysis for early detection of dementia. The distributed Electroencephalography
(EEG) analysis environment can be used to support a variety of research activities in
EEG analysis;
D. A scheme for organising multiple (heterogeneous) descriptions of individual grid
entities for knowledge representation of grid. The scheme solves the compatibility
and adaptability problems in managing heterogeneous descriptions (i.e. descriptions
using different languages and schemas/ontologies) for collaborated representation of
a grid environment in different scales. It underpins the concept of bioprofile analysis
over grid in the aspect of knowledge-based global coordination between components
of bioprofile analysis over grid
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Connecting medical educational resources to the Linked Data cloud: the mEducator RDF Schema, store and API
The existence of non-interoperable metadata schemas and limited use of shared vocabularies means that retrieving and processing educational resources across the Web represents a challenge. The emerging Linked Data paradigm has provided the tools and methods to share and expose metadata in a more unified and well interlinked manner, permitting both humans and machines to process Web data. The availability of vast amounts of RDF-based Linked Data is offering a worthwhile alternative to the isolated and heterogeneous data silos which previously dominated the Web. In the ECfunded project mEducator a standardised approach is proposed to describing and exposing medical educational resources. In this paper are described firstly the design considerations, and conceptual model upon which mEducator’s metadata scheme approach was based. Afterwards, follows the description of the serialization of the scheme in RDF/XML, and in turn follows an example showing how medical educational resources are exposed on the Web using an RDF endpoint, and discuss the potential advantages of this approach
Using metadata analysis and base analysis techniques in DQ framework for DW
Data Qualities (DQ) issues become a major concern over decade.Even with an enhancements and introduction of new technologies, it is stills not good if systems are lack of qualities of data.Data warehouses (DW) are complex systems that have to deliver highly-
aggregated, high quality data from heterogeneous sources to decision makers. It involves a lot of integration of sources system to support business operations.This paper propose a framework for implementing DQ in DW systems architecture using Metadata Analysis Technique and Base Analysis Techniques to perform comparison between target value and current value gain from the systems.A prototype using PHP is develops to support Base Analysis Techniques. This paper also emphasize on dimension need to be consider to perform DQ processes
Automated Rule-Based Selection and Instantiation of Layout Templates for Widget-Based Microsites
Veebi avatud arhitektuuron loonud soodsa pinnase veebisolevate andmete kasutamiseks nii keerulisemates kui lihtsamates veebirakendustes. Andmete kogumise ja visualiseerimise lihtsustamiseks lihtsates veebirakendustes on loodud hulganisti tööriistu, mille seas on ka mashup'ide loomise tööriistad. Olemasolevate tööriistadega kõrge kasutatavusega mashup veebilehe loomine võib aga paraku olla keerukas, kuna nõuab erinevate tehnoloogiate ning programmeerimiskeelte tundmist, rääkimata kasutatavuse juhtnööridega kursisolemist. Kuigi osad mashup'ide platvormid, a'la OpenAjax Hub, lihtsustavad olemasolevate komponentide kombineerimist, on lahendamata probleemiks siiani nende rakenduste kasutatavus.
Käesolev magistritöö kirjeldab reeglipõhist lahendust andmete visualiseerimise vidinate jaoks sobiva veebilehe malli automaatseks valimiseks vastavalt enimlevinud veebilehtede kasutatavuse juhtnööridele. Selleks laetakse vidinate ning struktuurimallide kirjeldused koos kasutatavuse juhtnööridest saadud reeglitega reeglimootorisse ning kasutatakse reeglimootorit ekspertsüsteemina, mis soovitab sobivamaid malle vastavalt etteantud vidinate komplektile. Lahenduse reeglipõhine ülesehitus võimaldab uute vidinate ning mallide lisandumisel või juhtnööride muutumisel operatiivselt reageerida nendele muutustele reeglibaasi täiendamise kaudu.
Väljapakutud lahendus realiseeriti käesoleva töö raames Auto Microsite rakendusena, mis koosneb serveri- ning kliendipoolsest osast. Serveri poolel toimub reeglite abil vidinate komplekti visualiseerimiseks sobiva malli valimine kasutades OO jDREW RuleML reeglimootorit ning rakenduse paketeerimiseks koodi genereerimine. Kliendi poolel kasutatakse OpenAjax Hub raamistikkuvidinate turvaliseks eraldamiseks ning omavahel suhtlemapanemisel. Samuti on kliendi poolel lahendatud genereeritud veebilehe vastavusse viimine brauseri võimalustega.
Katsetamaks Auto Microsite rakendust praktikas loodi seda kasutades realisatsioonid kahele lihtsale stsenaariumile. Esimesel juhul viusaliseeriti Euroopa 1997-2008 tööjõukulude (Hourly labour costs in Euros (European Union 1997-2008) ing. k.) andmeid kaardi, tabeli, kokkuvõtte ja menüü vidinatega. Teisel juhul kasutati lisaks andmete visualiseerimise vidinatele ka väliseid andmeallikaid, mis olid realiseeritud mittevisuaalsete vidinatena. Saadud andmed visualiseeriti kahe tabeli ning ühe kaardi vidinaga. Näidisveebilehtede loomise tulemusena järeldub, et rakendus sobib lihtsate veebilehtede loomiseks. Lisaks on võimalik lahendust täiendada keerukamate veebirakenduste automaatseks loomiseks läbi vastavate mallide ning reeglite lisamise.This thesis proposes a rule-based widget and layout template matchmaking solution for widget-based microsites. The solution takes as an input a set of widget descriptions and a set of layout templates with widget placeholders and returns a microsite, where the most suitable template has been instantiated with corresponding widgets. Matchmaking is based on applying a rule engine to metadata of widgets and placeholders about their content categories and dimensions,. Additional usability rules are used to further improve the results with respect to commonly accepted usability guidelines. Such a solution makes it possible to modularly enhance the usability results in the future simply by adding new usability rules and layout templates. Furthermore, the solution can be applied in mashup creation tools for layout selection.
The proposed solution has been implemented and is called Auto Microsite in this thesis. The system consists of a server-side and a client-side component. The server-side component matches widgets with layout template placeholders according to the given rules by using the OO jDREW RuleML engine. The client-side is responsible for presenting the mashup appropriately for the client device. The latter is based on OpenAjax Hub 2.0 framework, which enables secure sandboxing and communication of widgets in the generated microsite. Furthermore, OpenAjax Metadata 1.0 specification is used in this thesis to package the widgets such that they could be easily reused.
In order to evaluate the Auto Microsite system in practice two proof of concept (PoC) scenarios were implemented. The first scenario visualized "Hourly labour costs in Euros (European Union 1997-2008)" data using widgets for a map, a table and a summary. In the second scenario, also data was queried through a SOAP service and a Web site. In the scenario data was visualized using two table widgets and a map widget. The SOAP service and queries to the Web site were packaged as non-visual widgets to fit the framework. The POCs demonstrate that the Auto Microsite system is able to construct widget-based microsites. Furthermore, the framework is capable of constructing also more complex Web applications, with several pages and more content widgets, by adding new rules and templates
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