George thomas gtra2010
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The document discusses using semantic web technologies like linked data and vocabularies to integrate government data on Data.gov. It describes how common and domain-specific vocabularies can be used along with URI schemes to connect related data across agencies. Interlinking vocabularies allow integration of metadata and data without changing existing schemas. Social media features could be added to make vocabularies and data function as social objects that users can annotate and discuss.
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An overview of linked data, the semantic web and serializations. Included is a look at BIBFRAME and some current library projects using linked data.
Linked Data
The document introduces the concept of Linked Data and discusses how it can be used to publish structured data on the web by connecting data from different sources. It explains the principles of Linked Data, including using HTTP URIs to identify things, providing useful information when URIs are dereferenced, and including links to other URIs to enable discovery of related data. Examples of existing Linked Data datasets and applications that consume Linked Data are also presented.
DM110 - Week 10 - Semantic Web / Web 3.0
DM110 Emerging Web Media / Huston Film School, National University of Ireland, Galway / 13th March 2007
Linked Data for Czech Legislation
The slides show what is linked data and how we experiment with linked data in the area of legislative documents (in Czech Republic).
Download the slides for detailed embedded comments.
Peter Mika's Presentation at SSSW 2011
The document discusses semantic search and summarizes some key points:
1. Semantic search aims to improve search by exploiting structured data and metadata to better understand user intent and content meaning.
2. It can make use of information extraction techniques to extract implicit metadata from unstructured web pages, or rely on publishers exposing structured data using semantic web formats.
3. Semantic search can enhance different stages of the information retrieval process like query interpretation, indexing, ranking, and evaluation.
Publishing data on the Semantic Web
The document discusses several options for publishing data on the Semantic Web. It describes Linked Data as the preferred approach, which involves using URIs to identify things and including links between related data to improve discovery. It also outlines publishing metadata in HTML documents using standards like RDFa and Microdata, as well as exposing SPARQL endpoints and data feeds.
Linked Data Tutorial
This tutorial explains the Data Web vision, some preliminary standards and technologies as well as some tools and technological building blocks developed by AKSW research group from Universität Leipzig.
Making the Web searchable
The document summarizes semantic technologies that can be used to make web search and content more intelligent. It discusses how search and online media are converging, and how semantic markup like RDFa, microformats, and microdata can be used to embed structured data in web pages. This allows search engines and other applications to better understand page content and provide more sophisticated features like entity search, personalized results, and content aggregation.
PoolParty SKOS and Linked Data
SKOS Thesaurus Editing which makes use of "Linked Data". A lot of facts from the Semantic Web (e.g. from DBpedia) can be used to augment local thesauri or knowledge bases. This video shows how PoolParty Thesaurus Management makes use of data from the Semantic Web.
Linked Data Planet Key Note
The document discusses the concepts of linked data, how it can be created and deployed from various data sources, and how it can be exploited. Linked data allows accessing data on the web by reference using HTTP-based URIs and RDF, forming a giant global graph. It can be generated from existing web pages, services, databases and content, and deployed using a linked data server. Exploiting linked data allows discovery, integration and conceptual interaction across silos of heterogeneous data on the web and in enterprises.
Semantic Web, Cataloging, & Metadata
An introduction to metadata, semantic web, social web and how it all fits together by robin fay, georgiawebgurl@gmail.com
Linked dataresearch
Linked Data provides a standardized framework for publishing structured data on the web by linking data instead of documents. It uses URIs, HTTP, and RDF to link related data across different sources to create a global data space without silos. EnAKTing is a research project focused on building ontologies from large-scale user participation, querying linked data at web-scale, and visualizing the massive amounts of interconnected data. Some of its applications include services for discovering backlinks, geographical resources, and dataset equivalences in the Web of Data.
Semantic Web, e-commerce
The document discusses the semantic web and how it can potentially disrupt or benefit online commerce. It provides definitions and explanations of key concepts related to the semantic web including RDF, ontologies, linked data, and semantic search. It outlines how search engines and websites are increasingly adopting and leveraging semantic web technologies like RDFa to provide richer search results and experiences for users.
Data Portability with SIOC and FOAF
"Data Portability with SIOC and FOAF" talk at XTech 2008 (May 9, 2008, Dublin, Ireland).
See: http://2008.xtech.org/public/schedule/detail/565
Year of the Monkey: Lessons from the first year of SearchMonkey
This document discusses publishing content on the Semantic Web. It introduces basic concepts of RDF and the Semantic Web like resources, literals, and triples. It then describes six main ways to publish RDF data on the web: 1) standalone RDF documents, 2) metadata inside webpages using techniques like RDFa, 3) SPARQL endpoints, 4) feeds, 5) XSLT transformations, and 6) automatic markup tools. Finally, it briefly discusses the history of embedding metadata in HTML and examples of metadata standards.
Semantic Web Austin Yahoo
This document discusses publishing content on the Semantic Web. It introduces basic concepts of RDF and the Semantic Web like resources, literals, and triples. It then describes six main ways to publish RDF data on the web: 1) standalone RDF documents, 2) metadata inside webpages using formats like RDFa, 3) SPARQL endpoints, 4) feeds, 5) XSLT transformations, and 6) automatic markup tools. Finally, it briefly reviews the history of embedding metadata in HTML and examples of formats used.
Similar to George thomas gtra2010 (20)
Year of the Monkey: Lessons from the first year of SearchMonkey
Year of the Monkey: Lessons from the first year of SearchMonkey
George thomas gtra2010
- 1. Data.gov: Semantic Web, Linked Data, and Social Media George Thomas, GTRA June 2010
- 26. Browsing SMW KB via Classes
- 27. Browsing SMW KB via Properties
- 29. Ontology based SMW KB Query
- 30. SMW KB Report Generation
- 31. NHIN – Automagic Data Merging This UPI keyed data is captured from Ex300/53 submissions… But this data is ‘merged’ from other independently published sources on the Web of Data!!