Incorporating Relational Data Into The Semantic Web PDF Download
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| Author | : Cristian Pérez de Laborda Schwankhart |
| Publisher | : VDM Publishing |
| Total Pages | : 0 |
| Release | : 2007 |
| Genre | : Ontology |
| ISBN | : 9783836451673 |
Download Incorporating Relational Data Into the Semantic Web Book in PDF, ePub and Kindle
Relational.OWL is a technique to automatically convert a relational database into a Semantic Web representation, enabling Semantic Web applications to access data actually stored in relational databases using their own built-in functionality. Since this representation does not result in objects containing real semantics, we additionally show how to create mappings from the rela-tional model to a target ontology using an arbitrary closed RDF query language. Using current Semantic Web techniques, a formerly relational data item, once converted to its Semantic Web representation, can neither be identified unambiguously, nor be backtracked to its original storage location in the relational database. We hence introduce a novel URI scheme for identifying not only databases, but also their schema and data components like tables or columns, giving us the possibility to specify the exact and identifying storage location of any data item in its original data source.
| Author | : J.F. Sequeda |
| Publisher | : IOS Press |
| Total Pages | : 212 |
| Release | : 2016-07-28 |
| Genre | : Computers |
| ISBN | : 1614996296 |
Download Integrating Relational Databases with the Semantic Web Book in PDF, ePub and Kindle
An early vision in Computer Science was to create intelligent systems capable of reasoning on larg¬e amounts of data. Independent results in the areas of Semantic Web and Relational Databases have advanced us towards this vision. Despite independent advances, the interface between Relational Databases and Semantic Web is poorly understood. This dissertation revisits this early vision with respect to current technology and addresses the following question: How and to what extent can Relational Databases be integrated with the Semantic Web? The thesis is that much of the existing Relational Database infrastructure can be reused to support the Semantic Web. Two problems are studied. Can a Relational Database be automatically virtualized as a Semantic Web data source? The first contribution is an automatic direct mapping from a Relational Database schema and data to RDF and OWL. The second contribution is a method capable of evaluating SPARQL queries against the Relational Database by exploiting two existing relational query optimizations. These contributions are embodied in the Ultrawrap system. Experiments show that SPARQL query execution performance on Ultrawrap is comparable to that of SQL queries written directly for the relational data. Such results have not been previously achieved. Can a Relational Database be mapped to existing Semantic Web ontologies and act as a reasoner? A third contribution is a method for Relational Databases to support inheritance and transitivity by compiling the ontology as mappings, implementing the mappings as views, using SQL recursion and optimizing by materializing views. Ultrawrap is extended with this contribution. Empirical analysis reveals that Relational Databases are able to effectively act as reasoners.
| Author | : Juan Federico Sequeda |
| Publisher | : |
| Total Pages | : |
| Release | : 2016 |
| Genre | : |
| ISBN | : 9783898387118 |
Download Integrating Relational Databases with the Semantic Web Book in PDF, ePub and Kindle
| Author | : Roberto de Virgilio |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 554 |
| Release | : 2010-01-08 |
| Genre | : Computers |
| ISBN | : 3642043291 |
Download Semantic Web Information Management Book in PDF, ePub and Kindle
Databases have been designed to store large volumes of data and to provide efficient query interfaces. Semantic Web formats are geared towards capturing domain knowledge, interlinking annotations, and offering a high-level, machine-processable view of information. However, the gigantic amount of such useful information makes efficient management of it increasingly difficult, undermining the possibility of transforming it into useful knowledge. The research presented by De Virgilio, Giunchiglia and Tanca tries to bridge the two worlds in order to leverage the efficiency and scalability of database-oriented technologies to support an ontological high-level view of data and metadata. The contributions present and analyze techniques for semantic information management, by taking advantage of the synergies between the logical basis of the Semantic Web and the logical foundations of data management. The book’s leitmotif is to propose models and methods especially tailored to represent and manage data that is appropriately structured for easier machine processing on the Web. After two introductory chapters on data management and the Semantic Web in general, the remaining contributions are grouped into five parts on Semantic Web Data Storage, Reasoning in the Semantic Web, Semantic Web Data Querying, Semantic Web Applications, and Engineering Semantic Web Systems. The handbook-like presentation makes this volume an important reference on current work and a source of inspiration for future development, targeting academic and industrial researchers as well as graduate students in Semantic Web technologies or database design.
| Author | : Nikolaos Konstantinou |
| Publisher | : Springer |
| Total Pages | : 146 |
| Release | : 2015-04-10 |
| Genre | : Computers |
| ISBN | : 3319160745 |
Download Materializing the Web of Linked Data Book in PDF, ePub and Kindle
This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data. It presents how Linked Data is used for web-scale data integration, information management and search. Special emphasis is given to the publication of Linked Data from relational databases as well as from real-time sensor data streams. The authors also trace the transformation from the document-based World Wide Web into a Web of Data. Materializing the Web of Linked Data is addressed to researchers and professionals studying software technologies, tools and approaches that drive the Linked Data ecosystem, and the Web in general.
| Author | : Andreas Harth |
| Publisher | : CRC Press |
| Total Pages | : 578 |
| Release | : 2014-05-01 |
| Genre | : Computers |
| ISBN | : 1466582405 |
Download Linked Data Management Book in PDF, ePub and Kindle
Linked Data Management presents techniques for querying and managing Linked Data that is available on today’s Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications. The text focuses on aspects of managing large-scale collections of Linked Data. It offers a detailed introduction to Linked Data and related standards, including the main principles distinguishing Linked Data from standard database technology. Chapters also describe how to generate links between datasets and explain the overall architecture of data integration systems based on Linked Data. A large part of the text is devoted to query processing in different setups. After presenting methods to publish relational data as Linked Data and efficient centralized processing, the book explores lookup-based, distributed, and parallel solutions. It then addresses advanced topics, such as reasoning, and discusses work related to read-write Linked Data for system interoperation. Despite the publication of many papers since Tim Berners-Lee developed the Linked Data principles in 2006, the field lacks a comprehensive, unified overview of the state of the art. Suitable for both researchers and practitioners, this book provides a thorough, consolidated account of the new data publishing and data integration paradigm. While the book covers query processing extensively, the Linked Data abstraction furnishes more than a mechanism for collecting, integrating, and querying data from the open Web—the Linked Data technology stack also allows for controlled, sophisticated applications deployed in an enterprise environment.
| Author | : Christoph Bussler |
| Publisher | : Springer |
| Total Pages | : 235 |
| Release | : 2005-02-04 |
| Genre | : Computers |
| ISBN | : 3540318399 |
Download Semantic Web and Databases Book in PDF, ePub and Kindle
This book constitutes the thoroughly refereed postproceedings of the Second International Workshop on Semantic Web and Databases, SWDB 2004, held in Toronto, Canada in August 2004 as a satellite workshop of VLDB 2004. The 14 revised full papers presented together with 2 papers by the invited keynote speakers were carefully selected during two rounds of reviewing and improvement from 47 submissions. Among the topics addressed are data semantics, semantic Web services, service-oriented computing, workflow composition, XML semantics, relational tables, ontologies, semantic Web algebra, heterogeneous data sources, context mediation, OWL, ontology engineering, data integration, semantic Web queries, database queries, and peer-to-peer warehouses.
| Author | : Humaira Farid |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 120 |
| Release | : 2015-09-09 |
| Genre | : |
| ISBN | : 9783659780271 |
Download Exchanging Data from Institutional Repositories to the Semantic Web Book in PDF, ePub and Kindle
Internet and semantic web technologies have enabled academics to nd online research materials with increasing speed and accuracy. They have enabled academics to make connections with each other. Whereas, institutional repositories (IRs) are often built to serve a speci c institution's community of users. Mostly existing IRs are using relational database schema for maintaining the metadata of their digital contents. They might need to interact with other information systems that build to manage institutional research activities. Thus, it is crucial to provide interoperability and integration mechanisms to bridge the gap between the semantic web and relational database worlds. To process the data in semantic context, a relational database is transformed into ontology. The use of semantic web technologies in integrating the di erent IRs metadata enable ontology-facilitated sharing and reuse of learning resources. They provide users access to a web of content which might otherwise require discovering and exploring multiple websites or IRs."
| Author | : Ordóñez de Pablos, Patricia |
| Publisher | : IGI Global |
| Total Pages | : 304 |
| Release | : 2013-01-31 |
| Genre | : Computers |
| ISBN | : 1466628286 |
Download Cases on Open-Linked Data and Semantic Web Applications Book in PDF, ePub and Kindle
With the purpose of building upon standard web technologies, open linked data serves as a useful way to connect previously unrelated data and to publish structured data on the web. The application of these elements leads to the creation of data commons called semantic web. Cases on Open-Linked Data and Semantic Web Applications brings together new theories, research findings and case studies which cover the recent developments and approaches towards applied open linked data and semantic web in the context of information systems. By enhancing the understanding of open linked data in business, science and information technologies, this reference source aims to be useful for academics, researchers, and practitioners.
| Author | : Juan Sequeda |
| Publisher | : Springer Nature |
| Total Pages | : 142 |
| Release | : 2022-05-31 |
| Genre | : Computers |
| ISBN | : 3031019164 |
Download Designing and Building Enterprise Knowledge Graphs Book in PDF, ePub and Kindle
This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers.
