+Within the leisure activity field, information is often bundled badly and
+contains empty or wrong data. Hyperleap tries to solve this problem by bundling
+the information from various sources including RSS feeds. Currently the
+feedback loop for fixing site-specific crawlers requires multiple steps which
+demand someone with a computer science background to perform. We introduce a
+new adaptable crawler generation system using subword matching via an adapted
+form of directed acyclic word graphs. The application allows users with no
+particular computer science background to create, edit and test crawlers for
+RSS feeds. In this way the feedback loop for broken crawlers is shortened, new
+sources can be incorporated in the database quicker and, most importantly, the
+information about the latest movie show, theater production or conference will
+reach the people looking for it as fast as possible.
-\documentclass[twopage,a4paper,titlepage]{book}
-
-%\usepackage[british]{babel}
+\documentclass[twopage,titlepage]{book}
\usepackage{algorithm2e}
\usepackage{a4wide}
\usepackage{amssymb}
\usepackage{amsmath}
\usepackage{marvosym}
+\usepackage{setspace}
% Set listings settings
\definecolor{mintedbackground}{rgb}{0.95,0.95,0.95}
\author{
Mart Lubbers\\
s4109053\\
+ Artificial Intelligence\\
+ Radboud University Nijmegen\\
\strut\\
External supervisor: Alessandro Paula\\
Internal supervisor: Franc Grootjen\\
% Surrogate abstract
\chapter*{
\centering
- \begin{normalsize}
+ \begin{large}
Abstract
- \end{normalsize}
+ \end{large}
}
\begin{quotation}
\noindent
+ \onehalfspacing
\input{abstract.tex}
\end{quotation}
\clearpage
\input{1.introduction.tex}
\chapter{Requirements and design}
-\input{2.requirementsanddesign}
+\input{2.requirementsanddesign.tex}
\chapter{Algorithm}
\input{3.methods.tex}