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Analysing and Visualizing Statistical Linked Data
Helmich, Jiří
The thesis describes several means of processing statistical data in the ambience of Linked Data and is in particular focused on the utilization of Data Cube Vocabulary metaformat. Its content offers a description of tools related to analysis and visualization of RDF data not only from the statistical view. An indivisible part of this work is the depiction of the Payola tool on whose development is the author still working on. The outcome of this thesis is mainly proposal and consequential implementation of the system that enables a conversion of RDF data in compliance with the DCV vocabularies. The designed system was implemented and integrated to the Payola application. Several other extensions of the system were also implemented by the author. Within the scope of the implementation process there are mentioned also limitations arising from the integration with Payola. In the conclusion the writer describes a few experiments where some of the chosen datasets were applied to the implemented system. Powered by TCPDF (www.tcpdf.org)
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Detecting semantic relations in texts and their integration with external data resources
Kríž, Vincent ; Vidová Hladká, Barbora (advisor)
We present a strategy to automate the extraction of semantic relations from texts. Both machine learning and rule-based techniques are investigated and the impact of different linguistic knowledge is analyzed for the various approaches. To implement the extraction system RExtractor, several natural language processing tools have been improved: from sentence splitting and tokenization modules to dependency syntax parsers. Furthermore, we created the Czech Legal Text Treebank with several layers of linguistic annotation, which is used to train and test each stage of the proposed system. As a result of the performed work, new Semantic Web resources and tools are available for automatic processing of texts.
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Visual browser of graph data
Stenchlák, Štěpán ; Nečaský, Martin (advisor) ; Skopal, Tomáš (referee)
One way to publish data in a machine-readable form on the Internet is in the form of a graph. Such data are easy to interconnect between different data sources and thus create a large network of linked data. In order to visualize this data, we need to use graph tools, which can often be impractical because they usually show us all the information about the graph. The aim of this work is to create a web application that is able to visualize those graph data, provide information about them, and browse them using so-called configurations. A configuration describes what data from a large set of data on the Internet we want to display, how we visualize them, and how we can look at them. It allows us to filter out hundreds of uninteresting information, thus shielding users from a complex network of linked data so that users can focus on the data that interests them. 1
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Detecting semantic relations in texts and their integration with external data resources
Kríž, Vincent ; Vidová Hladká, Barbora (advisor) ; Harašta, Jakub (referee) ; Pecina, Pavel (referee)
We present a strategy to automate the extraction of semantic relations from texts. Both machine learning and rule-based techniques are investigated and the impact of different linguistic knowledge is analyzed for the various approaches. To implement the extraction system RExtractor, several natural language processing tools have been improved: from sentence splitting and tokenization modules to dependency syntax parsers. Furthermore, we created the Czech Legal Text Treebank with several layers of linguistic annotation, which is used to train and test each stage of the proposed system. As a result of the performed work, new Semantic Web resources and tools are available for automatic processing of texts.
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Decentralized Web-based Data Storage for LinkedPipes Applications using Solid
Orumbayev, Altynbek ; Klímek, Jakub (advisor) ; Škoda, Petr (referee)
The following thesis work is focused on developing a decentralized web-based storage solution based on Solid project for the LinkedPipes Applica- tions platform and demonstrate the full benefits of decentralized storage and the Solid technology. The Solid project, started by Sir Tim Berners-Lee, is focused on decentralizing the World Wide Web and decoupling data from applications on the Internet. The results of the practical work satisfy all defined functional and non-functional requirements stated by the LinkedPipes Applications project. The results of the work are integrated into the LinkedPipes Applications platform as a set of several software libraries allowing interaction with Solid Servers. iv
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Detecting semantic relations in texts and their integration with external data resources
Kríž, Vincent ; Vidová Hladká, Barbora (advisor)
We present a strategy to automate the extraction of semantic relations from texts. Both machine learning and rule-based techniques are investigated and the impact of different linguistic knowledge is analyzed for the various approaches. To implement the extraction system RExtractor, several natural language processing tools have been improved: from sentence splitting and tokenization modules to dependency syntax parsers. Furthermore, we created the Czech Legal Text Treebank with several layers of linguistic annotation, which is used to train and test each stage of the proposed system. As a result of the performed work, new Semantic Web resources and tools are available for automatic processing of texts.
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Analysis of the development direction of a conceptual academic library resource sharing service based on a case study of DXY
Niu, Xiaofei ; Zhang, Ling ; Han, Li
Under a global environment characterized by open and complex information, academic library resource-sharing practitioners should observe the information-service market beyond a “library-oriented” setting and rethink the development direction of the service. To investigate this issue, this paper presents an analysis of the development trajectory and characteristics of DXY, a Chinese information service enterprise. This study also discusses the development of academic library resource-sharing service from three dimensions, namely, service targets, service contents, and service roles. Findings show that the academic library resource-sharing practitioners should break through the traditional cognitive framework of “academic users on campus” and “document providers,” and furthermore, consider upgrading the service to assume a comprehensive role as information sharer, information connector, and platform operator simultaneously. This change will enable the move toward a knowledge service orientation.
Fulltext:  PDF
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The Delicate Dance of Decentralization and Aggregation: keynote speech
Verborgh, Ruben
Ruben Verborgh is a professor of Semantic Web technology at Ghent University – imec and a research affiliate at the Decentralized Information Group at MIT. He aims to build a more intelligent generation of clients for a decentralized Web at the intersection of Linked Data and hypermedia-driven Web APIs. Through the creation of Linked Data Fragments, he introduced a new paradigm for query execution at Web-scale. He has co-authored two books on Linked Data, and contributed to more than 200 publications for international conferences and journals on Web-related topics.
Video:  MP4
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Discovering and Creating Relations among CSV Columns Using Linked Data Knowledge Bases
Brodec, Václav ; Nečaský, Martin (advisor) ; Svoboda, Martin (referee)
A large amount of data produced by governmental organizations is accessible in the form of tables encoded as CSV files. Semantic table interpretation (STI) strives to transform them into linked data in order to make them more useful. As significant portion of the tabular data is of statistical nature, and therefore comprises predominantly of numeric values, it is paramount to possess effective means for interpreting relations between the entities and their numeric properties as captured in the tables. As the current general-purpose STI tools infer the annotations of the columns almost exclusively from numeric objects of RDF triples already present in the linked data knowledge bases, they are unable to handle unknown input values. This leaves them with weak evidence for their suggestions. On the other hand, known techniques focusing on the numeric values also have their downsides. Either their background knowledge representation is built in a top-down manner from general knowledge bases, which do not reflect the domain of input and in turn do not contain the values in a recognizable form. Or they do not make use of context provided by the general STI tools. This causes them to mismatch annotations of columns consisting from similar values, but of entirely different meaning. This thesis addresses the...
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Framework for geolocation-based Android applications using Linked Data
Snoha, Matej ; Klímek, Jakub (advisor) ; Helmich, Jiří (referee)
Title: Framework for geolocation-based Android applications using Linked Data Author: Bc. Matej Snoha The aim of this thesis is to design and implement a framework for geolo- cation based mobile applications using Linked Data. Introduced are Linked Data technologies in the context of mobile application develop- ment, data modeling, and geographical queries. This work follows the software development lifecycle from requirement gathering, software analysis, design of the application framework and its individual compo- nents, up to the implementation of required functionality and subsequent deployment and evaluation of the functional application framework. The resulting implementation of the framework consists of a mobile applica- tion that displays nearby places from Linked Data datasets on a map and a cloud service with a repository of required definitions. It serves to demonstrate functionality of the theoretical part of the work in real-life scenarios.
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