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TECHNICAL SESSION 5.1 |
Data and Information
Quality and Complexity Evaluation |
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Language |
English |
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Papers |
36,30,21 |
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Schedule |
Tuesday,
14.30 to 16.00 |
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Moderator |
Miguel
Goulão, FCT/UNL |
| 36
- Title |
Detection
and Resolution of Data Inconsistencies, and
Data Integration |
| Authors |
Pilar Angeles,
School of Mathematical and Computer Sciences,
Heriot-Watt University
Lachlan Mackinnon, School of Mathematical
and Computer Sciences, Heriot-Watt University |
| Main
Fields |
6. F Area
- Quality in the WWW
7. G Area - Quality in Education / Training |
| Abstract
+ Keywords |
In the processes
and optimization of information integration,
such as query processing, query planning and
hierarchical structuring of results to the
user, we argue that user quality priorities,
data inconsistencies and data quality differences
among the participating sources have not been
fully addressed. We propose the development
of a Data Quality Manager (DQM) to establish
communication between the process of integration
of information, the user and the application,
to deal with semantic heterogeneity. DQM will
contain a Reference Model, a Measurement Model,
and an Assessment Model to define the quality
criteria, the metrics and the assessment methods.
DQM will also help in query planning by considering
data quality estimations to find the best
combination for the execution plan. After
query execution, and detection of inconsistent
data, data quality might also be used to perform
data inconsistency resolution. Integration
and ranking of query results using quality
criteria defined by the user will be an outcome
of this process.
keywords:
Databases, Heterogeneous, Data Quality, Information
Quality, Semantic Integration, Information
Integration. |
| 30
- Title |
Assessment
and Improvement of Information Quality through
Information Management Process Concept |
| Authors |
Ismael Caballero,
Universidad de Castilla-La Mancha
Mario Piattini, Universidad de Castilla-La
Mancha |
| Main
Fields |
5. E Area
- Contents perspective,
Data quality, Information quality: risk analysis,
assessment and audit |
| Abstract
+ Keywords |
Abstract:
It is a well known fact that information is
one of the most important assets for today’s
enterprises since it is the basis for organizational
decisions. However, as information is produced
from data, both data and information quality
must be assured. Although many researches
have proposed technical and managerial solutions
to some specific information quality problems,
an integrative framework which brings together
these kinds of solutions is still lacking.
Our proposal consists of a framework for assessing
and improving information quality through
the concept of Information Management Process
(IMP). An IMP is assessed according to an
information quality maturity model by using
an assessment and improvement methodology.
The framework provides a consistent roadway
for coordinating efforts and resources to
manage information quality with a strategic
perspective. As an application example, a
study case has been included in the paper.
Keywords:
Information Quality, Information Quality Management,
Information Quality Assessment |
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21 - Title |
Sistema
de Análise de Complexidade de Documentos XML |
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Authors |
Ruben Costa,
FCT/UNL
Ricardo Andrade, FCT/UNL |
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Main Fields |
6. F Area
- Quality in the WWW |
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Abstract + Keywords |
Resumo —
Esta aplicação tem como principal objectivo
a extracção de vários tipos de métricas referentes
a todo o tipo de documentos
XML. A adopção de documentos XML tem sido
hoje em dia bastante utilizado, tornando-se
cada vez mais como um standard para troca
de informação entre vários sistemas. Os documentos
XML encontram-se estruturados das formas mais
diversas, o que por vezes pode tornar difícil
para o ser humano interpretar o seu conteúdo.
A extracção de métricas desses documentos
permite avaliar a sua complexidade.
Palavras Chave — Bases de Dados, Meta-Modelo,
Métricas, OCL, USE, XML |
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