Resource Oriented Architecture Patterns For Webs Of Data
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Author |
: Brian Sletten |
Publisher |
: Morgan & Claypool Publishers |
Total Pages |
: 95 |
Release |
: 2013-04-01 |
ISBN-10 |
: 9781608459513 |
ISBN-13 |
: 1608459519 |
Rating |
: 4/5 (13 Downloads) |
Synopsis Resource-Oriented Architecture Patterns for Webs of Data by : Brian Sletten
The surge of interest in the REpresentational State Transfer (REST) architectural style, the Semantic Web, and Linked Data has resulted in the development of innovative, flexible, and powerful systems that embrace one or more of these compatible technologies. However, most developers, architects, Information Technology managers, and platform owners have only been exposed to the basics of resource-oriented architectures. This book is an attempt to catalog and elucidate several reusable solutions that have been seen in the wild in the now increasingly familiar "patterns book" style. These are not turn key implementations, but rather, useful strategies for solving certain problems in the development of modern, resource-oriented systems, both on the public Web and within an organization's firewalls. Table of Contents: List of Figures / Informational Patterns / Applicative Patterns / Procedural Patterns
Author |
: Brian Sletten |
Publisher |
: Springer Nature |
Total Pages |
: 75 |
Release |
: 2022-05-31 |
ISBN-10 |
: 9783031794476 |
ISBN-13 |
: 3031794478 |
Rating |
: 4/5 (76 Downloads) |
Synopsis Resource-Oriented Architecture Patterns for Webs of Data by : Brian Sletten
The surge of interest in the REpresentational State Transfer (REST) architectural style, the Semantic Web, and Linked Data has resulted in the development of innovative, flexible, and powerful systems that embrace one or more of these compatible technologies. However, most developers, architects, Information Technology managers, and platform owners have only been exposed to the basics of resource-oriented architectures. This book is an attempt to catalog and elucidate several reusable solutions that have been seen in the wild in the now increasingly familiar "patterns book" style. These are not turn key implementations, but rather, useful strategies for solving certain problems in the development of modern, resource-oriented systems, both on the public Web and within an organization's firewalls.
Author |
: Brian Sletten |
Publisher |
: |
Total Pages |
: |
Release |
: 2015 |
ISBN-10 |
: 1491924888 |
ISBN-13 |
: 9781491924884 |
Rating |
: 4/5 (88 Downloads) |
Synopsis Resource-Oriented Architectures by : Brian Sletten
Sponsored by MarkLogic REST isn't an endpoint. It's a set of architectural constraints that elicit a bunch of really useful properties in the systems we build. But REST is also a gateway to an entirely new way of thinking in terms of resources. Linked Data builds on existing architectural successes to allow designers to connect information like the Web connects documents. By taking advantage of proven technologies that make the Web works, these standards will help you create systems that scale, evolve and respond to changing requirements better, faster and cheaper than you have been able to before. With this video course, software developers who think on a systems level will come away with a new understanding of how to approach software architecture with network-friendly, standards-based resource-oriented systems. Brian Sletten is a software engineer who focuses on web architecture, resource-oriented computing, social networking, the Semantic Web, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies. He has experience in retail, banking, online games, defense, finance, hospitality and healthcare. About the O'Reilly Software Architecture Series Clearing a path from developer to architect and enriching that path once you arrive. Software architecture is a fast-moving, multidisciplinary subject in which entire suites of "best practices" become obsolete practically overnight. No single path or curriculum exists, and different types of architecture--application, integration, enterprise--require different subject emphasis. Whether you're at the outset of a career as an architect or in the midst of such a career, series editor Neal Ford has curated this collection of tools and guides for aspiring and seasoned architects alike.
Author |
: Vassilis Christophides |
Publisher |
: Springer Nature |
Total Pages |
: 106 |
Release |
: 2022-05-31 |
ISBN-10 |
: 9783031794681 |
ISBN-13 |
: 3031794680 |
Rating |
: 4/5 (81 Downloads) |
Synopsis Entity Resolution in the Web of Data by : Vassilis Christophides
In recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, multiple, complementary and sometimes conflicting descriptions of the same real-world entities may be provided. Entity resolution aims to identify different descriptions that refer to the same entity appearing either within or across knowledge bases. The objective of this book is to present the new entity resolution challenges stemming from the openness of the Web of data in describing entities by an unbounded number of knowledge bases, the semantic and structural diversity of the descriptions provided across domains even for the same real-world entities, as well as the autonomy of knowledge bases in terms of adopted processes for creating and curating entity descriptions. The scale, diversity, and graph structuring of entity descriptions in the Web of data essentially challenge how two descriptions can be effectively compared for similarity, but also how resolution algorithms can efficiently avoid examining pairwise all descriptions. The book covers a wide spectrum of entity resolution issues at the Web scale, including basic concepts and data structures, main resolution tasks and workflows, as well as state-of-the-art algorithmic techniques and experimental trade-offs.
Author |
: Brian Sletten |
Publisher |
: "O'Reilly Media, Inc." |
Total Pages |
: 335 |
Release |
: 2021-12 |
ISBN-10 |
: 9781492089810 |
ISBN-13 |
: 1492089818 |
Rating |
: 4/5 (10 Downloads) |
Synopsis WebAssembly: The Definitive Guide by : Brian Sletten
WebAssembly: The Definitive Guide provides a thorough and accessible introduction to one of the most transformative technologies hitting our industry. What started as a way to use languages other than just JavaScript in the browser has evolved into a comprehensive path toward portability, performance, increased security and greater code reuse across an impressive collection of deployment targets. The goals may sound familiar, but in practice, we're finally getting our safe, fast, portable, and secure software development environment offering the potential for reuse. This practical book introduces the elements of this technology incrementally while building to several concrete, code-driven examples of practical but cutting edge WebAssembly uses.
Author |
: Albert Meroño-Peñuela |
Publisher |
: Springer Nature |
Total Pages |
: 92 |
Release |
: 2022-05-31 |
ISBN-10 |
: 9783031019173 |
ISBN-13 |
: 3031019172 |
Rating |
: 4/5 (73 Downloads) |
Synopsis Web Data APIs for Knowledge Graphs by : Albert Meroño-Peñuela
This book describes a set of methods, architectures, and tools to extend the data pipeline at the disposal of developers when they need to publish and consume data from Knowledge Graphs (graph-structured knowledge bases that describe the entities and relations within a domain in a semantically meaningful way) using SPARQL, Web APIs, and JSON. To do so, it focuses on the paradigmatic cases of two middleware software packages, grlc and SPARQL Transformer, which automatically build and run SPARQL-based REST APIs and allow the specification of JSON schema results, respectively. The authors highlight the underlying principles behind these technologies—query management, declarative languages, new levels of indirection, abstraction layers, and separation of concerns—, explain their practical usage, and describe their penetration in research projects and industry. The book, therefore, serves a double purpose: to provide a sound and technical description of tools and methods at the disposal of publishers and developers to quickly deploy and consume Web Data APIs on top of Knowledge Graphs; and to propose an extensible and heterogeneous Knowledge Graph access infrastructure that accommodates a growing ecosystem of querying paradigms.
Author |
: Mathieu d'Aquin |
Publisher |
: Springer Nature |
Total Pages |
: 78 |
Release |
: 2022-05-31 |
ISBN-10 |
: 9783031794711 |
ISBN-13 |
: 3031794710 |
Rating |
: 4/5 (11 Downloads) |
Synopsis The Epistemology of Intelligent Semantic Web Systems by : Mathieu d'Aquin
The Semantic Web is a young discipline, even if only in comparison to other areas of computer science. Nonetheless, it already exhibits an interesting history and evolution. This book is a reflection on this evolution, aiming to take a snapshot of where we are at this specific point in time, and also showing what might be the focus of future research. This book provides both a conceptual and practical view of this evolution, especially targeted at readers who are starting research in this area and as support material for their supervisors. From a conceptual point of view, it highlights and discusses key questions that have animated the research community: what does it mean to be a Semantic Web system and how is it different from other types of systems, such as knowledge systems or web-based information systems? From a more practical point of view, the core of the book introduces a simple conceptual framework which characterizes Intelligent Semantic Web Systems. We describe this framework, the components it includes, and give pointers to some of the approaches and technologies that might be used to implement them. We also look in detail at concrete systems falling under the category of Intelligent Semantic Web Systems, according to the proposed framework, allowing us to compare them, analyze their strengths and weaknesses, and identify the key fundamental challenges still open for researchers to tackle.
Author |
: Carol Jean Godby |
Publisher |
: Springer Nature |
Total Pages |
: 140 |
Release |
: 2022-06-01 |
ISBN-10 |
: 9783031794650 |
ISBN-13 |
: 3031794656 |
Rating |
: 4/5 (50 Downloads) |
Synopsis Library Linked Data in the Cloud by : Carol Jean Godby
This book describes OCLC's contributions to the transformation of the Internet from a web of documents to a Web of Data. The new Web is a growing `cloud' of interconnected resources that identify the things people want to know about when they approach the Internet with an information need. The linked data architecture has achieved critical mass just as it has become clear that library standards for resource description are nearing obsolescence. Working for the world's largest library cooperative, OCLC researchers have been active participants in the development of next-generation standards for library resource description. By engaging with an international community of library and Web standards experts, they have published some of the most widely used RDF datasets representing library collections and librarianship. This book focuses on the conceptual and technical challenges involved in publishing linked data derived from traditional library metadata. This transformation is a high priority because most searches for information start not in the library, nor even in a Web-accessible library catalog, but elsewhere on the Internet. Modeling data in a form that the broader Web understands will project the value of libraries into the Digital Information Age. The exposition is aimed at librarians, archivists, computer scientists, and other professionals interested in modeling bibliographic descriptions as linked data. It aims to achieve a balanced treatment of theory, technical detail, and practical application.
Author |
: Jose Emilio Labra Gayo |
Publisher |
: Springer Nature |
Total Pages |
: 304 |
Release |
: 2022-05-31 |
ISBN-10 |
: 9783031794780 |
ISBN-13 |
: 3031794788 |
Rating |
: 4/5 (80 Downloads) |
Synopsis Validating RDF Data by : Jose Emilio Labra Gayo
RDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad data differ across communities, fields, and tasks, but nearly all involve some form of data validation. This book introduces data validation and describes its practical use in day-to-day data exchange. The Semantic Web offers a bold, new take on how to organize, distribute, index, and share data. Using Web addresses (URIs) as identifiers for data elements enables the construction of distributed databases on a global scale. Like the Web, the Semantic Web is heralded as an information revolution, and also like the Web, it is encumbered by data quality issues. The quality of Semantic Web data is compromised by the lack of resources for data curation, for maintenance, and for developing globally applicable data models. At the enterprise scale, these problems have conventional solutions. Master data management provides an enterprise-wide vocabulary, while constraint languages capture and enforce data structures. Filling a need long recognized by Semantic Web users, shapes languages provide models and vocabularies for expressing such structural constraints. This book describes two technologies for RDF validation: Shape Expressions (ShEx) and Shapes Constraint Language (SHACL), the rationales for their designs, a comparison of the two, and some example applications.
Author |
: Diana Maynard |
Publisher |
: Springer Nature |
Total Pages |
: 182 |
Release |
: 2022-05-31 |
ISBN-10 |
: 9783031794742 |
ISBN-13 |
: 3031794745 |
Rating |
: 4/5 (42 Downloads) |
Synopsis Natural Language Processing for the Semantic Web by : Diana Maynard
This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future.