The Relationship Between BIBFRAME and OCLC•S Linked-Data Model Of
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Applications
Applications CSE 595 – Semantic Web Instructor: Dr. Paul Fodor Stony Brook University http://www3.cs.stonybrook.edu/~pfodor/courses/cse595.html GoodRelations BBC Artists BBC World Cup Website Lecture Outline Government Data New York Times Sig.ma and Sindice Swoogle OpenCalais Schema.org data.world Elsevier Audi Data Integration Swiss Life EnerSearch E-Learning Web Services Multimedia Collection Indexing at Scotland Yard Online Procurement at Daimler Device Interoperability at Nokia 2 Publication Management @ Semantic Web Primer GoodRelations E-commerce, and in particular Business-to-Consumer (B2C) e- commerce, has been one of the main drivers behind the rapid adoption of the World Wide Web in everyday live It is now commonplace to see URLs listed on storefronts and goods vehicles Taking the UK as an example, the B2C market has grown from £87 million in April 2000 to £68.4 billion by the end of 2009, a thousand-fold increase over a single decade USA 2017 B2C market was $660 billion, but the growth is decreasing 3 statista.com @ Semantic Web Primer GoodRelations E-commerce marketplace is suffering from all the deficits of the traditional web: E-commerce websites are typically generated from structured information systems, listing price, availability, type of product, delivery options, etc., but by the time this information reaches the company’s web pages, it has been turned into HTML and all machine-interpretable structure has disappeared, with the result that machines can no longer distinguish a price from a product-code -
Product Schema, SEO, Structured Data | Caliber Media Group & Schema.Org Products | Product Schema | SEO
ProductCamp: Product Schema, SEO, Structured Data | Caliber Media Group & Schema.org Products | Product Schema | SEO Caliber Media Group presented at Product Camp Southern California 2014, and Caliber also volunteered its services towards this conference’s success. Caliber Media Group ProductCamp: Product Schema, SEO, Structured Data | Caliber Media Group & Schema.org Products | Schema | Examples Resources | Tools | Readings 2 ProductCamp SoCal 2014 & Schema: Google, after Schema ProductCamp SoCal 2014 & Schema: Google via Disconnect & Yahoo, after Schema , ProductCamp SoCal 2014 & Schema: How did Caliber help ProductCamp beat all of the other events? ProductCamp SoCal 2014 & Schema: So what was inside the pages? ProductCamp SoCal 2014 & Schema: So what was inside the pages? ProductCamp SoCal 2014 & Schema: So what was inside the pages? Search => Schema, with JSON-LD Search & Schema: When & Who? Very short version… Martin Hepp http://www.heppnetz.de/projects/goodrelations/ ProductCamp SoCal 2014 & Schema: When & Who? Short version…here they come… ProductCamp SoCal 2014 & Schema: GoodRelations added… Search & Schema: Why, and… What does Schema do for me? http://www.schema.org ProductCamp SoCal 2014 & Schema: Product since this is ProductCamp http://schema.org/Product ProductCamp SoCal 2014 & Schema: An actual Product, since this is ProductCamp… ProductCamp SoCal 2014 & Schema: Recall, Products as Structured Data Structure -- Hierarchy -- Structured Data Search & Schema: Show me Schema examples… Schema: Product ontology | microdata | Knowledge Graph ProductCamp SoCal 2014 & Schema: Product ProductCamp SoCal 2014 & Schema: Google ProductCamp SoCal 2014 & Schema: Product Schema locally ProductCamp SoCal 2014 & Schema: Product locally ProductCamp SoCal 2014 & Schema: Local Schema gone wild… Search & Product Schema | Knowledge Graph from Google Knowledge Vault – where? Search & Product Schema | Knowledge Graph – where? Google Tables. -
The Application of Semantic Web Technologies to Content Analysis in Sociology
THEAPPLICATIONOFSEMANTICWEBTECHNOLOGIESTO CONTENTANALYSISINSOCIOLOGY MASTER THESIS tabea tietz Matrikelnummer: 749153 Faculty of Economics and Social Science University of Potsdam Erstgutachter: Alexander Knoth, M.A. Zweitgutachter: Prof. Dr. rer. nat. Harald Sack Potsdam, August 2018 Tabea Tietz: The Application of Semantic Web Technologies to Content Analysis in Soci- ology, , © August 2018 ABSTRACT In sociology, texts are understood as social phenomena and provide means to an- alyze social reality. Throughout the years, a broad range of techniques evolved to perform such analysis, qualitative and quantitative approaches as well as com- pletely manual analyses and computer-assisted methods. The development of the World Wide Web and social media as well as technical developments like optical character recognition and automated speech recognition contributed to the enor- mous increase of text available for analysis. This also led sociologists to rely more on computer-assisted approaches for their text analysis and included statistical Natural Language Processing (NLP) techniques. A variety of techniques, tools and use cases developed, which lack an overall uniform way of standardizing these approaches. Furthermore, this problem is coupled with a lack of standards for reporting studies with regards to text analysis in sociology. Semantic Web and Linked Data provide a variety of standards to represent information and knowl- edge. Numerous applications make use of these standards, including possibilities to publish data and to perform Named Entity Linking, a specific branch of NLP. This thesis attempts to discuss the question to which extend the standards and tools provided by the Semantic Web and Linked Data community may support computer-assisted text analysis in sociology. First, these said tools and standards will be briefly introduced and then applied to the use case of constitutional texts of the Netherlands from 1884 to 2016. -
Introduction to Linked Data and Its Lifecycle on the Web
Introduction to Linked Data and its Lifecycle on the Web Sören Auer, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Amrapali Zaveri AKSW, Institut für Informatik, Universität Leipzig, Pf 100920, 04009 Leipzig {lastname}@informatik.uni-leipzig.de http://aksw.org Abstract. With Linked Data, a very pragmatic approach towards achieving the vision of the Semantic Web has gained some traction in the last years. The term Linked Data refers to a set of best practices for publishing and interlinking struc- tured data on the Web. While many standards, methods and technologies devel- oped within by the Semantic Web community are applicable for Linked Data, there are also a number of specific characteristics of Linked Data, which have to be considered. In this article we introduce the main concepts of Linked Data. We present an overview of the Linked Data lifecycle and discuss individual ap- proaches as well as the state-of-the-art with regard to extraction, authoring, link- ing, enrichment as well as quality of Linked Data. We conclude the chapter with a discussion of issues, limitations and further research and development challenges of Linked Data. This article is an updated version of a similar lecture given at Reasoning Web Summer School 2011. 1 Introduction One of the biggest challenges in the area of intelligent information management is the exploitation of the Web as a platform for data and information integration as well as for search and querying. Just as we publish unstructured textual information on the Web as HTML pages and search such information by using keyword-based search engines, we are already able to easily publish structured information, reliably interlink this informa- tion with other data published on the Web and search the resulting data space by using more expressive querying beyond simple keyword searches. -
Linked Data Services for Internet of Things
International Conference on Recent Advances in Computer Systems (RACS 2015) Linked Data Services for Internet of Things Jaroslav Pullmann, Dr. Yehya Mohamad User-Centered Ubiquitous Computing department Fraunhofer Institute for Applied Information Technology FIT Sankt Augustin, Germany {jaroslav.pullmann, yehya.mohamad}@fit.fraunhofer.de Abstract — In this paper we present the open source “LinkSmart Resource Framework” allowing developers to II. LINKSMART RESOURCE FRAMEWORK incorporate heterogeneous data sources and physical devices through a generic service facade independent of the data model, A. Rationale persistence technology or access protocol. We particularly consi- The Java Data Objects standard [2] specifies an interface to der the integration and maintenance of Linked Data, a widely persist Java objects in a technology agnostic way. The related accepted means for expressing highly-structured, machine reada- ble (meta)data graphs. Thanks to its uniform, technology- Java Persistence specification [3] concentrates on object-rela- agnostic view on data, the framework is expected to increase the tional mapping only. We consider both specifications techno- ease-of-use, maintainability and usability of software relying on logy-driven, overly detailed with regards to common data ma- it. The development of various technologies to access, interact nagement tasks, while missing some important high-level with and manage data has led to rise of parallel communities functionality. The rationale underlying the LinkSmart Resour- often unaware of alternatives beyond their technology bounda- ce Platform is to define a generic, uniform interface for ries. Systems for object-relational mapping, NoSQL document or management, retrieval and processing of data while graph-based Linked Data storage usually exhibit complex, maintaining a technology and implementation agnostic facade. -
Using Shape Expressions (Shex) to Share RDF Data Models and to Guide Curation with Rigorous Validation B Katherine Thornton1( ), Harold Solbrig2, Gregory S
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Repositorio Institucional de la Universidad de Oviedo Using Shape Expressions (ShEx) to Share RDF Data Models and to Guide Curation with Rigorous Validation B Katherine Thornton1( ), Harold Solbrig2, Gregory S. Stupp3, Jose Emilio Labra Gayo4, Daniel Mietchen5, Eric Prud’hommeaux6, and Andra Waagmeester7 1 Yale University, New Haven, CT, USA [email protected] 2 Johns Hopkins University, Baltimore, MD, USA [email protected] 3 The Scripps Research Institute, San Diego, CA, USA [email protected] 4 University of Oviedo, Oviedo, Spain [email protected] 5 Data Science Institute, University of Virginia, Charlottesville, VA, USA [email protected] 6 World Wide Web Consortium (W3C), MIT, Cambridge, MA, USA [email protected] 7 Micelio, Antwerpen, Belgium [email protected] Abstract. We discuss Shape Expressions (ShEx), a concise, formal, modeling and validation language for RDF structures. For instance, a Shape Expression could prescribe that subjects in a given RDF graph that fall into the shape “Paper” are expected to have a section called “Abstract”, and any ShEx implementation can confirm whether that is indeed the case for all such subjects within a given graph or subgraph. There are currently five actively maintained ShEx implementations. We discuss how we use the JavaScript, Scala and Python implementa- tions in RDF data validation workflows in distinct, applied contexts. We present examples of how ShEx can be used to model and validate data from two different sources, the domain-specific Fast Healthcare Interop- erability Resources (FHIR) and the domain-generic Wikidata knowledge base, which is the linked database built and maintained by the Wikimedia Foundation as a sister project to Wikipedia. -
Linked Data Vs Schema.Org: a Town Hall Debate About the Future of Information
Linked Data vs Schema.org: A Town Hall Debate about the Future of Information Schema.org Resources Schema.org Microdata Creation and Analysis Tools Schema.org Google Structured Data Testing Tool http://schema.org/docs/full.html http://www.google.com/webmasters/tools/richsnippets The entire hierarchy in one file. Microdata Parser Schema.org FAQ http://tools.seomoves.org/microdata http://schema.org/docs/faq.html This tool parses HTML5 microdata on a web page and displays the results in a graphical view. You can see the full details of each microdata type by clicking on it. Getting Started with Schema.org http://schema.org/docs/gs.html Drupal module Includes information about how to mark up your content http://drupal.org/project/schemaorg using microdata, using the schema.org vocabulary, and advanced topics. A drop-in solution to enable the collections of schemas available at schema.org on your Drupal 7 site. Micro Data & Schema.org: Guide To Generating Rich Snippets Wordpress plugins http://seogadget.com/micro-data-schema-org-guide-to- http://wordpress.org/extend/plugins/tags/schemaorg generating-rich-snippets A list of Wordpress plugins that allow you to easily insert A very comprehensive guide that includes an schema.org microdata on your site. introduction, a section on integrating microdata (use cases) schema.org, and a section on tools and useful Microdata generator resources. http://www.microdatagenerator.com A simple generator that allows you to input basic HTML5 Microdata and Schema.org information and have that info converted into the http://journal.code4lib.org/articles/6400 standard schema.org markup structure. -
Designing an Ontology for Managing the Diets of Hypertensive Individuals
Designing an Ontology for Managing the Diets of Hypertensive Individuals A thesis submitted to the College of Communication and Information of Kent State University in partial fulfillment of the requirements for the Master of Library and Information Science and Master of Science dual degree program By Julaine Clunis January, 2016 Thesis Written By Julaine Clunis BSc., Northern Caribbean University, 2005 M.L.I.S., Kent State University, 2016 M.S., Kent State University, 2016 Approved By ___________________________________________ Marcia Lei Zeng, Advisor ___________________________________________ Jeffrey W. Fruit, Director, School of Library and Information Science ___________________________________________ Amy Reynolds, Dean, College of Communication and Information Table of Contents List of Figures ................................................................................................................................ v List of Tables ............................................................................................................................... vii List of Acronyms and Abbreviations ....................................................................................... viii Glossary of Terms ......................................................................................................................... x Terms Relating to Health and Medicine ............................................................................................. xii Acknowledgements ................................................................................................................... -
FAIR Linked Data
FAIR Linked Data - Towards a Linked Data backbone for users and machines Johannes Frey Sebastian Hellmann [email protected] Knowledge Integration and Linked Data Technologies (KILT/AKSW) & DBpedia Association InfAI, Leipzig University Leipzig, Germany ABSTRACT scientific and open data. While the principles became widely ac- Although many FAIR principles could be fulfilled by 5-star Linked cepted and popular, they lack technical details and clear, measurable Open Data, the successful realization of FAIR poses a multitude criteria. of challenges. FAIR publishing and retrieval of Linked Data is still Three years ago a dedicated European Commission Expert Group rather a FAIRytale than reality, for users and machines. In this released an action plan for "turning FAIR into reality" [1] empha- paper, we give an overview on four major approaches that tackle sizing the need for defining "FAIR for implementation". individual challenges of FAIR data and present our vision of a FAIR In this paper, we argue that Linked Data as a technology in Linked Data backbone. We propose 1) DBpedia Databus - a flex- combination with the Linked Open Data movement and ontologies ible, heavily automatizable dataset management and publishing can be seen as one of the most promising approaches for managing platform based on DataID metadata; that is extended by 2) the scholarly metadata as well as representing and connecting research novel Databus Mods architecture which allows for flexible, uni- results (RDF knowledge graphs) across the web. Although many fied, community-specific metadata extensions and (search) overlay FAIR principles could be fulfilled by 5-star Linked Open Data [5], systems; 3) DBpedia Archivo an archiving solution for unified han- the successful realization of FAIR principles for the Web of Data in dling and improvement of FAIRness for ontologies on publisher and its current state is a FAIRytale. -
Data Models for Home Services
__________________________________________PROCEEDING OF THE 13TH CONFERENCE OF FRUCT ASSOCIATION Data Models for Home Services Vadym Kramar, Markku Korhonen, Yury Sergeev Oulu University of Applied Sciences, School of Engineering Raahe, Finland {vadym.kramar, markku.korhonen, yury.sergeev}@oamk.fi Abstract An ultimate penetration of communication technologies allowing web access has enriched a conception of smart homes with new paradigms of home services. Modern home services range far beyond such notions as Home Automation or Use of Internet. The services expose their ubiquitous nature by being integrated into smart environments, and provisioned through a variety of end-user devices. Computational intelligence require a use of knowledge technologies, and within a given domain, such requirement as a compliance with modern web architecture is essential. This is where Semantic Web technologies excel. A given work presents an overview of important terms, vocabularies, and data models that may be utilised in data and knowledge engineering with respect to home services. Index Terms: Context, Data engineering, Data models, Knowledge engineering, Semantic Web, Smart homes, Ubiquitous computing. I. INTRODUCTION In recent years, a use of Semantic Web technologies to build a giant information space has shown certain benefits. Rapid development of Web 3.0 and a use of its principle in web applications is the best evidence of such benefits. A traditional database design in still and will be widely used in web applications. One of the most important reason for that is a vast number of databases developed over years and used in a variety of applications varying from simple web services to enterprise portals. In accordance to Forrester Research though a growing number of document, or knowledge bases, such as NoSQL is not a hype anymore [1]. -
Linked Data Search and Browse Application
IT 17 019 Examensarbete 30 hp Maj 2017 Linked Data Search and Browse Application Chao Cai Fatemeh Shirazi Nasab Institutionen för informationsteknologi Department of Information Technology Abstract Linked Data Search and Browse Application Chao Cai and Fatemeh Shirazi Nasab Teknisk- naturvetenskaplig fakultet UTH-enheten In order to achieve the ISO 26262 standard on the perspective of requirements traceability, a huge volume of data has been converted into RDF format, and been Besöksadress: stored in a Triple store. The need to have a web application to search and browse Ångströmlaboratoriet Lägerhyddsvägen 1 that RDF data has been raised. In order to build this application, several open- Hus 4, Plan 0 source components such as Apache Solr, Apache Jena, Fuseki and Technologies such as Java, HTML, CSS, and Javascript have been used. The application has Postadress: been evaluated with SUS method, an industry standard and reliable tool for Box 536 751 21 Uppsala measuring the system usability, by six engineers from Scania, the evaluation result in general is positive, five out of six participants successfully retrieved their desired Telefon: search results. 018 – 471 30 03 Telefax: Keyword: ISO 26262, Traceability, Triple store, Web application 018 – 471 30 00 Hemsida: http://www.teknat.uu.se/student Handledare: Mattias Nyberg Ämnesgranskare: Tore Risch Examinator: Mats Daniels IT 17 019 Tryckt av: Reprocentralen ITC Acknowledgement We wish to extend our deepest gratitude to our advisors, Dr. Mat- tias Nyberg and Dr. Tore Risch, for their thoughtful guidance throughout our master thesis. We appreciate many fruitful discus- sions and helpful advice from the members of the Scania RESA group. -
Creating a Linked Data-Friendly Metadata Application Profile for Archival Description Poster
Proc. Int’l Conf. on Dublin Core and Metadata Applications 2017 Creating a Linked Data-Friendly Metadata Application Profile for Archival Description Poster Matienzo, Mark A. Roke, Elizabeth Russey Carlson, Scott Stanford University, U.S.A. Emory University, U.S.A. Rice University, U.S.A. [email protected] [email protected] [email protected] Keywords: archival description; linked data; archives; Schema.org; metadata mapping Abstract We provide an overview of efforts to apply and extend Schema.org for archives and archival description. The authors see the application of Schema.org and extensions as a low barrier means to publish easily consumable linked data about archival resources, institutions that hold them, and contextual entities such as people and organizations responsible for their creation. Rationale and Objectives Schema.org has become one of the most widely recognized and adopted mechanisms for publishing structured data on the World Wide Web, and has incorporated extensions to address the needs of specialist communities (Guha, et al., 2016). It has been used with some success in cultural heritage sector through libraries and digital collections platforms using both Schema.org core types and properties, as well as SchemaBibExtend, an extension for bibliographic information (bib.schema.org, n.d.). These uses include leveraging it as a means to improve search engine rankings (Scott, 2014), to publish library staff directories (Clark and Young, 2017) and to expose linked data about collections materials (Lampron, et al., 2016). However, the adoption of Schema.org in the context of archives has been somewhat limited. Our project focuses on identifying pragmatic methods to publish linked data about archives, archival resources, and their relationships, and to identify gaps between existing models.