7623756
Knowledge Management Systems Development: A Roadmap
This paper approaches the Knowledge Management Systems study, focusing not only in the establishment of essential development activities, but also in techniques, technologies, and tools for their support. Despite of the wide range of existing proposals for the development of this type of systems, none of them has achieved a level detailed enough to allow a direct application. This study is intended to be a palliative for the above-mentioned lack of detail by means of a development guide for Knowledge Management Systems. In this way, the proposed solution offers a clear definition concerning what has to be done and which type of mechanisms should be used for its development.
38034228
On the Power of P Systems with DNA-Worm-Objects
We introduce a variant of P systems with string-objects - called worm-objects - inspired in the DNA computing area. These systems work with multisets of string-objects processed by splitting, mutation, replication and recombination. This model is simpler (we eliminate the replication operation) and more realistic (the recombination operation is changed by the simpler one of suffix-prefix or head-tail concatenation developed in the DNA computing framework) than the previous one. The result of a computation is the set of strings sent out of the system. We work with multisets of strings but we generate languages instead of sets of numbers. We prove that, without priority among rules or other control mechanisms, (1) these P systems with at most three membranes can generate all recursively enumerable languages, (2) with non-decreasing length mutation and splitting rules, three membranes are enough to generate the family of context-sensitive languages, and (3) with these restricted types of splitting and mutation rules, four membranes can generate the family of recursively enumerable languages.
14281129
An abstraction for awareness management in collaborative virtual environments
This paper describes an object-oriented abstraction for the problem of awareness management in Collaborative Virtual Environments (CVEs). The described abstraction allows for different types of awareness information and awareness management policies to be used. It is also described how the defined abstraction was used to support the awareness management policies of two demo CVEs application.
12874902
Behavioural Differential Equations and Coinduction for Binary Trees
We study the set TA of infinite binary trees with nodes labelled in a semiring A from a coalgebraic perspective. We present coinductive definition and proof principles based on the fact that TA carries a final coalgebra structure. By viewing trees as formal power series, we develop a calculus where definitions are presented as behavioural differential equations. We present a general format for these equations that guarantees the existence and uniqueness of solutions. Although technically not very difficult, the resulting framework has surprisingly nice applications, which is illustrated by various concrete examples.
7409552
Swarm optimisation as a new tool for data mining
This paper proposes the use of particle swarm optimisers as a tool for data mining. To evaluate its usefulness, we empirically compare the performance of three variants of the particle optimiser with another evolutionary algorithm, namely a genetic algorithm, in rule discovery for classification tasks. Such tasks are considered core tools for decision support systems in a widespread area, ranging from the industry, commerce, military and scientific fields. The data sources used here for experimental testing are commonly used and considered as a de facto standard for rule discovery algorithms reliability ranking. The results obtained in these domains seem to indicate that particle swarm optimisers are competitive with other evolutionary techniques, and can be successfully applied to more demanding problem domains.
18125589
Zerg: A Very Fast BLAST Parser Library
SUMMARY
Zerg is a library of sub-routines that parses the output from all NCBI BLAST programs (Blastn, Blastp, Blastx, Tblastn and Tblastx) and returns the attributes of a BLAST report to the user. It is optimized for speed, being especially useful for large-scale genomic analysis. Benchmark tests show that Zerg is over two orders of magnitude faster than some widely used BLAST parsers.


AVAILABILITY
http://bioinfo.iq.usp.br/zerg
11562802
A Decision Support System for IST Academic Information
This article describes the Decision Support System (DSS) for Academic Information being developed at Instituto Superior Tecnico, the Engineering School of the Technical University of Lisbon. In Portuguese, this project has been given the acronym SADIA (Sistema de Apoio a Decisao da Informacao Academica). This paper focuses on the early phases of the DSS development process, i.e., the business requirements definition and the dimensional modelling. First, we show how the business requirements of the School drive the definition of the DSS dimensional model. Second, we detail the logical dimensional model for a selected business process, the IST Student Admission process. Third, the corresponding physical design decisions are reported. The results obtained from the three phases were successfully validated by business users.