% by Mirella M. Moro; version: September/03/2010 @ 6:04pm 
% -- 09/03/2010: bib file with names for proceedings and journals; cls with shrinked {received}
% -- 08/27/2010: appendix, table example, more explanation within comments, editors' data

\documentclass[jidm,a4paper]{jidm} % NOTE: JIDM is published on A4 paper
\usepackage{graphicx,url}  % for using figures and url format
\usepackage[T1]{fontenc}   % avoids warnings such as "LaTeX Font Warning: Font shape 'OMS/cmtt/m/n' undefined"

\usepackage{algorithmic}
\usepackage{algorithm}
\usepackage{listings}

%\usepackage{float}
%\floatstyle{boxed} 
%\restylefloat{figure}

%\usepackage{cite} % NOTE: do **not** include this package because it conflicts with jidm.bst

% Standard definitions
\newtheorem{theorem}{Theorem}[section]
\newtheorem{conjecture}[theorem]{Conjecture}
\newtheorem{corollary}[theorem]{Corollary}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{lemma}[theorem]{Lemma}
\newdef{definition}[theorem]{Definition}
\newdef{remark}[theorem]{Remark}
\newdef{query}[theorem]{Query}
\newenvironment{latexcode}
{\vspace{0.1in}\setlength{\parindent}{18pt}}
{\vspace{0.1in}}

\lstset{basicstyle=\small}


% ALL FIELDS DOWN TO BEGIN{document} ARE MANDATORY

% The following data (volume, number and page) are given by the editors prior to publishing your paper
\jidmVolume{2}
\jidmNumber{3}
\jidmYear{11}
\jidmMonth{October}
\setcounter{page}{1}


% Includes headers with simplified name of the authors and paper title
\markboth{B. C. Leal et al.}{From Conceptual Modeling to Logical Representation of Trajectories in SGBDOR and DW Systems}
%  -> \markboth{}{}
%         takes 2 arguments
%         ex: \markboth{M. M. Moro}{Any paper title}


% Title of the paper
\title{From Conceptual Modeling to Logical Representation of Trajectories in SGBDOR and DW Systems}


% List of authors
%IF THERE ARE TWO or more institutions, please use:
%\author{Name of Author1\inst{1}, Name of Author2\inst{2}, Name of Author3\inst{2}}
\author{Bruno de C. Leal\inst{1}, Jose Antonio F. de Macedo\inst{1}, Valeria C. Times\inst{2}, Marco Antonio Casanova\inst{3}, Vania Maria P. Vidal\inst{1}, Marcelo Tilio M. de Carvalho\inst{3}}


%Affiliation and email
\institute{UFC - Universidade Federal do Ceara, Brazil \\ \email{\{brunocleal, jose.macedo, vvidal\}@lia.ufc.br}
% IF THERE IS ANOTHER INSTITUTION:
\and UFPE - Universidade Federal de Pernambuco, Brazil \\ \email{vct@cin.ufpe.br}
\and PUC-RIO - Pontificia Universidade Catolica do Rio de Janeiro, Brazil \\ \email{casanova@inf.puc-rio.br, tilio@tecgraf.puc-rio.br}
}


% Paper abstract - it should be from 100 to 300 words
\begin{abstract}
With the growth of mobile devices equipped with geographical localization services, it has become economical and technically feasible to capture moving object trajectories in real life. Many interesting applications are being developed based on trajectory analysis. For example, in a traffic management system, traffic jams may be determined by mining movement patterns of groups of cars. In general, trajectory data can be analyzed into two different perspectives: real time and historical. In addition, trajectory applications share a common need, a more structured recording of movement. This allows managing trajectories as first class citizens and attaching whatever semantics the application requires, and developing robust and efficient methods to aggregate a set of trajectories that may support complex analysis. This paper extends previous work on the conceptual modeling of trajectories by generalizing the idea of stops and moves and by defining a set of aggregation functions on trajectory data. In addition, this work proposes two modeling approaches, both based on design patterns, for devising trajectory data schemas for relational and multidimensional environments. A real-world case study about truck trajectories is used as a proof of concept. Experimental results showed that these modeling approaches offer the flexibility we are looking for to cope with the potential complexity of trajectory semantics in real time and historical analyses.
\end{abstract}


% ACM Computing Classification System categories
\category{H.2.7}{Database Management}{Database Administration}
% Categories and Descriptors are available at the 1998 ACM Computing Classification System
% http://www.acm.org/about/class/1998/
%  -> \category{}{}{}
%         takes 3 arguments for the Computing Reviews Classification Scheme.
%         ex: \category{D.3.3}{Programming Languages}{Language Constructs and Features}
%                   [data types and structures]
%                   the last argument, in square brackets, is optional.

% Paper keywords
\keywords{Trajectory Data, Semantic Trajectory, Data warehousing}
%  -> \keywords{} (in alphabetical order \keywords{document processing, sequences,
%                      string searching, subsequences, substrings})


% THE PAPER BEGINS
\begin{document}

% This is optional:
\begin{bottomstuff}
This work was partly supported by CNPq, under grants 473110/2008-3, 557128/2009-9, 483552/2009-7 and 308247/2009-4, by FAPERJ under grant E-26/170028/2008, by FUNCAP under grant GPF 2151/22, CAPES under grant NF 21/2009 and CAPES student fellowship grant for Bruno Leal.
\end{bottomstuff}

\maketitle


% PAPER NEW SECTION
\input{introducao} % 1 1/2 pag OK
\input{trabalhosrelacionados} %2  pag
\input{requisitos} %2 pag OK
\input{contribuicao} %3 pag OK
\input{experimentos} %3 pag OK
\input{conclusao} % 1 1/2 pag OK
%\input{sec_acknowledge}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\appendix
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\section{Apendice1}
	
% INCLUDE BIBLIOGRAPHY WHICH MUST FOLLOW jidm.bst TEMPLATE
\bibliographystyle{jidm}
\bibliography{referencias}
% For information on how to write bibliography entries, 
% see file jidmb.bib

\begin{received}
\end{received}

\end{document}

