This set of lessons is an introduction to SPARQL, the Semantic Web query language. The lessons begin with a basic SPARQL tutorial for beginners and also include detailed coverage of SPARQL 1.1 query features and a comparison of SPARQL and SQL.
For keeping the LOD cloud diagram up to date, the Linking Open Data community effort has started to collect meta-information about Linked datasets on datahub.io, a registry of open data and content packages provided by the Open Knowledge Foundation.
SHACL (Shapes Constraint Language) is a language for describing and constraining the contents of RDF graphs. SHACL groups these descriptions and constraints into "shapes", which specify conditions that apply at a given RDF node.
As a long-term member of the Linked Data community, which has evolved from W3C's Semantic Web, the latest developments around Data Science have become more and more attractive to me due to its complementary perspectives on similar challenges.
Semantic Web Company launches groundbreaking functionalities for Knowledge Graph Management and Text Analytics. With the new 5.0 version of PoolParty Semantic Suite, Semantic Web Company introduces innovative methods of taxonomy and ontology management and highly precise entity extraction through the entire lifecycle of semantic knowledge graphs.
In case you missed last Friday’s webinar, Yosemite Project Part 6 “Data-Driven Biomedical Research with Semantic Web Technologies” delivered by Dr. Michel Dumontier, the recording and slides are now available (and posted below). The webinar was co-produced by SemanticWeb.com and DATAVERSITY.net and runs for one hour, including a Q&A session with the audience that attended the live broadcast.
This set of lessons is an introduction to RDF, the core data model of the Semantic Web and the foundation of all other Semantic Web technologies. The lessons introduce RDF, present additional details, and then place RDF in the context of other technologies such as XML and JSON. Coverage is meant for beginners new to RDF, but a technical background will very much help you follow the material. If you haven't already completed the lessons in Semantic Technologies Applied, now's the time to do so. They provide critical context for this set of lessons.
Annalist is a Linked Data Notebook, supporting collection, organization and sharing of structured and semi-structured data. The name "Annalist" derives from "a person who writes annals". Annalist can be used for diverse purposes, and in particular has been motivated by the needs of small academic research groups, and personal information management. It is a self-hostable, web-based tool that will, "out-of-the-box", allow collection of web accessible, linked data without prior design of its structure. As such, it is designed to enable:
Easy data creation and management: data entry, modification and organization of small data records.
Flexible data: new record types and fields can be added as required.
Sharable data: uses JSON, a textual, easy to read and easy to process file format that can be shared by web, email, file transfer, version management system, memory stick, etc.
Remixable data: uses entity records that can be first class participants in a wider ecosystem of linked data, with links in and links out.
This website gives an overview of Linked Data sources cataloged on Data Hub and their completeness level for inclusion in the LOD cloud. It furthermore offers a validator for your Data Hub entry with step-by-step guidance.
The Web of Data is the web composed of pages which have semantic markup in RDF, RDFa, Microformats or Microdata (e.g. schema.org). Semantic markup can be about any topic, ranging from popular ones like people, events, reviews, products, services etc., to specific scientific annotations, media, bioscience, software and more.
Sindice is a platform to build applications on top of this data. Sindice collects Web Data in many ways, following existing web standards, and offers Search and Querying across this data, updated live every few minutes. Specialized APIs , and tools are also available.
We’re all waiting to see what’s next for the Web of Data – that is, the Semantic Web – after a year that had numerous highlights including: the official publication of HTML5, which boasts the ability to describe the structure of a web document with standard semantics; a flurry of activity for schema.org, including a new actions vocabulary, new types such as roles, and several community- and partner-led improvements in areas from bibliographies to sports to events; and, the continuing progression of Knowledge Graphs from the likes of Google, Facebook, Microsoft, and Yahoo.
Sharing your scoops to your social media accounts is a must to distribute your curated content. Not only will it drive traffic and leads through your content, but it will help show your expertise with your followers.
How to integrate my topics' content to my website?
Integrating your curated content to your website or blog will allow you to increase your website visitors’ engagement, boost SEO and acquire new visitors. By redirecting your social media traffic to your website, Scoop.it will also help you generate more qualified traffic and leads from your curation work.
Distributing your curated content through a newsletter is a great way to nurture and engage your email subscribers will developing your traffic and visibility.
Creating engaging newsletters with your curated content is really easy.