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Applications build on open and linked data
Tran, Dac Ha ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
This bachelor project is about the applications build on open and linked data. It is divided into four parts. In the first introductory part I will set the goals of the project and explain basic terms. In the second part I will introduce four existing applications, identify their po-tential benefits and possible risks for government institutions, companies as well as for common citizens. I will be selecting from the applications which have participated in the competiton "Společně otevíráme data" for the best application build on open and linked data by the Otakar Motejl fund. In the third part I will design ten of my own assignments of the application build on open data. I will describe their funcionality, set the target group and identify their potential bene-fits and risks. In the end of the third part I will evaluate the benefits and risks of my desig-ned applications using the range evaluation. In the last fourth part I will set the criterias for evaluating the applications. Afterwards I will send my designed applications to five experts for points evaluation. Finally I will cre-ate a table with applications ordered by gained points.
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Data quality on the context of open and linked data
Tomčová, Lucie ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
The master thesis deals with data quality in the context of open and linked data. One of the goals is to define specifics of data quality in this context. The specifics are perceived mainly with orientation to data quality dimensions (i. e. data characteristics which we study in data quality) and possibilities of their measurement. The thesis also defines the effect on data quality that is connected with data transformation to linked data; the effect if defined with consideration to possible risks and benefits that can influence data quality. The list of metrics verified on real data (open linked data published by government institution) is composed for the data quality dimensions that are considered to be relevant in context of open and linked data. The thesis points to the need of recognition of differences that are specific in this context when assessing and managing data quality. At the same time, it offers possibilities for further study of this question and it presents subsequent directions for both theoretical and practical evolution of the topic.
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ODCleanStore Framework
Michelfeit, Jan
We present an ODCleanStore framework (1) enabling management of Linked Data on the Web and (2) providing web applications with a possibility to consume cleaned and integrated Linked Data according to their needs.
Slides: idr-498_1 -  PDF
Video: idr-498_2 -  MP4
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A linked-data vocabulary of grey literature document types: Version 1.0
Pejšová, Petra ; Mynarz, Jindřich ; Simandlová, Tereza
The first version of the vocabulary of the types of grey literature in RDF (Resource Description Framework) is based on an analysis of grey literature typologies and a draft version of vocabulary presented on GL12. The draft version of the vocabulary of the types of grey literature was reviewed by 14-member international working group appointed to this purpose. From January until July 6, 2011 42 comments and suggestions were accepted. Subsequently, they were incorporated by the NTK (National Technical Library) team. Changes mainly redefined some collections, some document types were merged and others excluded. The major changes concerned the following collections: monographs, informative materials, datasets and research plans. By our poster we would like to introduce the first version and discuss the possibility of using it by grey literature community. The vocabulary of the types of grey literature is publicly available on http://code.google.com/p/grey-literature-typology/ . The record includes also a poster, which was a part of presentation.
Fulltext: idr-146_2 - PDF; idr-146_3 - PDF
Slides: idr-146_1 - PDF
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Publishing of bibliographic information according to the Linked Data principles
Hladká, Jitka ; Sklenák, Vilém (advisor) ; Svátek, Vojtěch (referee)
Bibliographic data provide well established means of the information resource description. Nowadays, there is obvious need to make this data more web-friendly and web-compatible, while web is mostly seen as the only place where people are seeking information. The proposed solution is to change the traditional bibliographic data representation format. Semantic Web initiative presents enhancement of the current web with machine processable data semantics (meaning). The main goal is to manage more effective information processing by web applications that brings up many benefits for web users. Linked data are seen as practical means to reach the semantic web vision. This initiative promotes best practices of publishing, connecting and sharing structural data on the web. This thesis reports the transformation of bibliographic records' format in case of Database of publishing activities at University of Economics, Prague (PCVSE). Benefits of linked data publishing model are demonstrated on the realized projects. The main part describes practical experiences gained during the implementation of RDF framework in phases of data modelling, interlinking and exposing the dataset. The linked data publishing model is seen there as an optimal web-compatible bibliographic data representation format.
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Structured data on the Web: Comparison of Linked Data and Web APIs
Zemánek, Jan ; Svátek, Vojtěch (advisor) ; Sklenák, Vilém (referee)
The aim of this work is, firstly, to describe the two popular ways of making structured data accessible on the Web, namely Web APIs and Linked Data; secondly, it is to conduct a theoretical survey of features of each of these two techniques. The contribution of this work lays in a table comparing Web APIs and Linked Data and a detailed description of each of the items in the table. In conclusion, this work gives a verdict on which one of these two techniques leads from a technological point of view to more reusable data on the Web.
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Proposal of Portal for Sharing RDF Remarks
Řimnáč, Martin
The semantic web vision is mostly realized by describing the universum by ontologies. Ontologies precisely define objects as well as their data structure and hierarchy. Such approach is suitable for machines, but not for common users. The proposal tries to find a compromise keeping data to be automatically processed and data intuitive management by end users in a form of a portal based on describing object by annotated remarks.
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