Framework comprehension is a very limiting factor to take full advantage of the benefits that frameworks offer to increase quality and productivity in software development. In this paper, a reverse engineering approach to framework comprehension using the MetaExplorer tool is…

Numerical Taxonomy aims to group in clusters, using so-called structure analysis of operational taxonomic units (OTUs or taxons or taxa) through numerical methods.
These clusters constitute families. Structural analysis, based on their phenotypic characteristics, exhibits the relationships, in terms of…

The paper presents a case study illustrating a collaborative problem solving process in Virtual Communities of Practice. The process relies on the existence of an underlying shared knowledge base – a repository of resources, and is carried out collaboratively by…

There is a lot of information published on the Web that can be useful for decision-making.
The work reported in this paper focuses on how to extract and integrate this information in order to construct a Data Warehouse that makes…

Vertical partitioning, in which attributes of a relation are
assigned to partitions, is aimed at improving database
performance. We extend previous research that is based on
a single relation to multi-relation database environment,
by including referential integrity constraints, access time

This paper is an attempt to define how a
specific data structure might be used to
store, in a persistent manner, temporal
information during a computer simulation.
In particular, it considers the sort of
temporal information generated during a
discrete…

Similarity search is a fundamental operation for applications that deal with unstructured data sources. In this paper we propose a new pivot-based method for similarity search, called Sparse Spatial Selection (SSS).
The main characteristic of this method is that it…

The metric spaces model formalizes the similarity search concept in nontraditional databases. The goal is to build an index designed to save distance computations when answering similarity queries later. A large class of algorithms to build the index are based…

Ontology mapping involves the task of finding similarities among overlapping sources by using ontologies. In a Federated System in which distributed, autonomous and heterogeneous information sources must be integrated, ontologies have emerged as tools to solve semantic heterogeneity problems. In…

The appearance and continuous growth of virtual communities on the web imposes the challenge of coping with the large amount of information and knowledge these communities produce. The Semantic Web with its set of standards and technologies provides the basic…