|
|
Methods of Information Extraction
Adamček, Adam ; Smrž, Pavel (referee) ; Kouřil, Jan (advisor)
The goal of information extraction is to retrieve relational data from texts written in natural human language. Applications of such obtained information is wide - from text summarization, through ontology creation up to answering questions by QA systems. This work describes design and implementation of a system working in computer cluster which transforms a dump of Wikipedia articles to a set of extracted information that is stored in distributed RDF database with a possibility to query it using created user interface.
|
|
|
Web application using the Linked Open Data
Le Xuan, Dung ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
This thesis deals with the issue of open data. The aim is to introduce to reader the currently very popular topic. Linking these data together gives us more advantages and opportuni-ties, however a large number of open data datasets are published in the format that cannot be linked together. Therefore, the author put great emphasis into his work on Linked Data. Emphasis is not placed only on the emergence, current status and future development, but also on the technical aspect. First, readers will be familiar with theoretical concepts, principles of Linked Open Data, expansion of open government data in the Czech Republic and abroad. In the next chapter, the author aimed at the data formats RDF, SPARQL language, etc. In the last section, the author introduce to readers the tools to work with Linked Open Data and design sample application using the Linked Open Data. The benefit of the whole work is a comprehensive view of the Linked Open Data both from a theoretical and from a practical part. The main goal is to provide to readers quality introduction to the issue.
|
|
|
Semantic support in CMS Drupal
Ivančo, Daniel ; Svátek, Vojtěch (advisor) ; Hazucha, Andrej (referee)
Aim of this diploma thesis is to map semantic features of CMS Drupal version 7. The goal of the first part of this work is to theoretically describe semantic web problematic and CMS Drupal. The second -- practical part of this work maps in details all the features of semantic web, which are supported by described CMS Drupal. These semantic features are mapped in two different points of views -- implementation and functional. Main contribution of this work is the method used to map these features. It's based on Drupal plugins code modification and revision in order to draw or demonstrate these features, which are not necessarily completely documented or functional. Furthermore all of these features are demonstrated on examples created as a part of this thesis. Finally the last part of this work compares these mapped features to similar CMS systems.
|
|
|
SPARQL plugin for Ontopia Knowledge Suite
Ovčáčík, Vlastimil ; Kliegr, Tomáš (advisor) ; Svátek, Vojtěch (referee)
Reader of this bachelor thesis will familiarize with two technologies of semantic web -- Topic Maps and RDF. In the first half of this document we can find principles, history and thoughts on near future of both technologies. There are explained necessary principles of both standards. Emphasis is placed on query languages SPARQL and TMQL. Object of this thesis is understanding differences and mutual aspects of both Topic Maps and RDF. This understanding is key for finding interoperability between these two technologies on semantic web. The second half of this thesis is aimed on implementation of sparql4ontopia - a plugin for Ontopia Knowledge Suite, which enables quering topic maps with SPARQL. This plugin utilizes Sesame project for SPARQL query evaluation and Nikunau tool from SesameTM project for mapping SPARQL on Topic Maps Data Model. Possibilities and limitations of this plugin are described. There is also description of sparql4ontopia development and implementation. Last chapter shed light on SPARQL endpoint and possible way of implementation into Ontopia Knowledge Suite.
|
guest ::
