Keyword Tree Research Articles

Proposta metodológica para o desenvolvimento de fundamentação teórica sobre cultura, clima e comportamento organizacional

Esta pesquisa objetivou aprofundar os estudos sobre o tripé cultura, clima e comportamento organizacional para o desenvolvimento da fundamentação teórica de uma tese de doutorado. A estratégia utilizada foi a pesquisa bibliográfica, que visou identificar os principais trabalhos científicos do mundo relacionados aos temas em referência. O ponto de partida foi a estruturação de uma árvore de palavras-chave, definindo o tema central e os eixos temáticos para iniciar as buscas. A construção da árvore baseou-se na definição das expressões booleanas utilizadas nos três mecanismos de busca: Scopus, ISI Web of Knowledge e Science Direct, todos vinculados aos periódicos da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior. No final do processo de pesquisa, selecionamos e catalogamos os documentos encontrados através da criação de um portfólio. A fim de analisar cuidadosamente os resultados da pesquisa bibliográfica, quatro etapas foram estruturadas para filtrar os achados, escolhendo, assim, os melhores e mais significativos artigos. A estratégia aplicada permitiu o levantamento da literatura para o desenvolvimento da fundamentação teórica.

Evaluation of road transport: a literature review

Goal: The study aims to consolidate papers published on the evaluation of investments in cargo transportation in Brazil with a focus on the sustainable perspective, taking into account not only economic but also social and environmental concepts.
 Design / Methodology / Approach: The method used is based on a keyword tree on scientific basis from november 2016 to february 2017 to identify models for evaluating new and existing infrastructure projects, highlighting the main variables adopted and the gaps of these models.
 Results: The aim of this study is to bring more transparency among different alternatives of road projects.
 Limitations of the investigation: The keyword tree methodology may not identify important studies in other languages or older.
 Practical implications: The study is helpful to policy-makers in their decisions to choose a road project for investment.
 Originality / Value: The originality of this study lies in the sustainable perspective for evaluating road transport.

The Group Keyword Management Method of the Heterogeneous WSN Based on Topology

The new method used the node to make up the keyword management tree. The keyword management tree was optimized with renewing the group keyword. In the meanwhile, the use of father nodes and the processing batch method improved the keyword renewing efficiency. The analysis result of theory shows that the method is a high efficiency and extendible group keyword management method which used in the heterogeneous wireless sensor network.

A Novel Algorithm for DNA Multiple Sequence Alignment Based on the Sliding Window and the Keyword Tree

A Novel Algorithm for DNA Multiple Sequence Alignment Based on the Sliding Window and the Keyword Tree

Interest based selection of user generated content for rich communication services

The last few years, we have witnessed an exponential growth in available content, much of which is user generated (e.g. pictures, videos, blogs, reviews, etc.). The downside of this overwhelming amount of content is that it becomes increasingly difficult for users to identify the content they really need, resulting into considerable research efforts concerning personalized search and content retrieval. On the other hand, this enormous amount of content raises new possibilities: existing services can be enriched using this content, provided that the content items used match the user's personal interests. Ideally, these interests should be obtained in an automatic, transparent way for an optimal user experience. In this paper two models representing user profiles are presented, both based on keywords and with the goal to enrich real-time communication services. The first model consists of a light-weight keyword tree which is very fast, while the second approach is based on a keyword ontology containing extra temporal relationships to capture more details of the user's behavior, however exhibiting lower performance. The profile models are supplemented with a set of algorithms, allowing to learn user interests and retrieving content from personal content repositories. In order to evaluate the performance, an enhanced instant messaging communication service was designed. Through simulations the two models are assessed in terms of real-time behavior and extensibility. User evaluations allow to estimate the added value of the approach taken. The experiments conducted indicate that the algorithms succeed in retrieving content matching the user's interests and both models exhibit a linear scaling behavior. The algorithms perform clearly better in finding content matching several user interests when benefiting from the extra temporal information in the ontology based model.

PatMaN: rapid alignment of short sequences to large databases

Summary: We present a tool suited for searching for many short nucleotide sequences in large databases, allowing for a predefined number of gaps and mismatches. The commandline-driven program implements a non-deterministic automata matching algorithm on a keyword tree of the search strings. Both queries with and without ambiguity codes can be searched. Search time is short for perfect matches, and retrieval time rises exponentially with the number of edits allowed.Availability: The C++ source code for PatMaN is distributed under the GNU General Public License and has been tested on the GNU/Linux operating system. It is available from http://bioinf.eva.mpg.de/patman.Contact: pruefer@eva.mpg.deSupplementary information: Supplementary data are available at Bioinformatics online.