Technologies

“Webize” Your Data with JSON-LD

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Benjamin Young of Cloudant reports, “Data is often stored and distributed in esoteric formats… Even when the data is available in a parse-able format (CSV, XML, JSON, etc), there is often little provided with the data to explain what’s inside. If there is descriptive meta data provided, it’s often only meant for the next developer to read when implementing yet-another-parser for said data. Really, it’s all quite abysmal… Enter, JSON-LD! JSON-LD (JSON Linked Data) is a simple way of providing semantic meaning for the terms and values in a JSON document. Providing that meaning with the JSON means that the next developer’s application can parse and understand the JSON you gave them.” Read more

RDF 1.1 is a W3C Recommendation

RDF 1.1Almost exactly 10 years after the publication of RDF 1.0 (10 Feb 2004, http://www.w3.org/TR/rdf-concepts/), the World Wide Web Consortium (W3C) has announced today that RDF 1.1 has become a “Recommendation.” In fact, the RDF Working Group has published a set of eight Resource Description Framework (RDF) Recommendations and four Working Group Notes. One of those notes, the RDF 1.1 primer, is a good starting place for those new to the standard.

SemanticWeb.com caught up with Markus Lanthaler, co-editor of the RDF 1.1 Concepts and Abstract Syntax document, to discuss this news.

photo of Markus LanthalerLanthaler said of the recommendation, “Semantic Web technologies are often criticized for their complexity–mostly because RDF is being conflated with RDF/XML. Thus, with RDF 1.1 we put a strong focus on simplicity. The new specifications are much more accessible and there’s a clear separation between RDF, the data model, and its serialization formats. Furthermore, the primer provides a great introduction for newcomers. I’m convinced that, along with the standardization of Turtle (and previously JSON-LD), this will mark an important point in the history of the Semantic Web.”

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SindiceTech Announces Freebase Distribution in the Cloud (Video)

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With the support of Google Developers, SindiceTech has announced the availability of its Freebase Distribution for the cloud. According to SindiceTech, “Freebase is an amazing data resource at the core of Google’s ‘Knowledge Graph’. Freebase data is available for full download but today, using it ‘as a whole’ is all but simple. The SindiceTech Freebase distribution solves that by providing all the Freebase knowledge preloaded in an RDF specific database (also called triplestore) and equipped with a set of tools that make it much easier to compose queries and understand the data as a whole.”

Your Own Private Freebase

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Meet Spaun: The Future of Artificial Intelligence

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Naomi Eterman of McGill Daily recently discussed a technology developed in 2012 by scientists at the University of Waterloo: “Spaun, short for Semantic Pointer Architecture Unified Network, is the largest computer simulation of a functioning brain to date. It is the brainchild of Chris Eliasmith, a professor in philosophy and systems design engineering at the University of Waterloo, who developed the system as a proof-of-principle supplement to his recent book: How to Build a Brain. The model is composed of 2.5 million simulated neurons and four different neurotransmitters that allow it to ‘think’ using the same kind of neural connections as the mammalian brain. Read more

The Future of Artificial Intelligence & The Semantic Web

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Charles Silver of Algebraix recently shared his opinions on artificial intelligence‘s recently revamped popularity and growing plausibility. Silver writes, “Just a few months ago, the phrase ‘artificial intelligence’ suddenly started being tossed around presentations, blogs, headlines, seminars — even a Facebook earnings meeting — as if it were the most benign concept in the world. AI could actually win an Oscar, thanks to Scarlett Johansson’s riveting voice-only performance as Samantha, the AI-enabled OS in the new movie ‘Her’. One reason for AI’s new respectability: Big steps have been made in solving the problems of artificial intelligence, especially in speech recognition and concept communication. Just think about how casually we now accept machines that can understand and talk, from Apple’s Siri to IBM’s ‘Jeopardy’-winning Watson.” Read more

JSON-LD is an official Web Standard

JSON-LD logo JSON-LD has reached the status of being an official “Recommendation” of the W3C. JSON-LD provides yet another way for web developers to add structured data into web pages, joining RDFa.The W3C documentation says, “JSON is a useful data serialization and messaging format. This specification defines JSON-LD, a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines.” This addition should be welcome news for Linked Data developers familiar with JSON and/or faced with systems based on JSON.

SemanticWeb.com caught up with the JSON-LD specfication editors to get their comments…

photo of Manu Sporny Manu Sporny (Digital Bazaar), told us, “When we created JSON-LD, we wanted to make Linked Data accessible to Web developers that had not traditionally been able to keep up with the steep learning curve associated with the Semantic Web technology stack. Instead, we wanted people that were comfortable working with great solutions like JSON, MongoDB, and REST to be able to easily integrate Linked Data technologies into their day-to-day work. The adoption of JSON-LD by Google and schema.org demonstrates that we’re well on our way to achieving this goal.”

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The Internet of Things is All Around You

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Drew Hendricks of Sys-Con recently wrote, “Over the course of the past decade, there’s been a lot of hype pertaining to the Internet of Things (IoT) and how China leads the U.S. in this technology – yet many who are active on the Internet are still unaware of its existence. In its simplest form, IoT is an evolving wireless network of objects and devices that will eventually all be connected with each other. Using RFID, Bluetooth, GPS and other emerging semantic technology, and working in tandem with cloud computing, Web portals and back-end systems, in essence our “things” will be be able to “talk” with each other.” Read more

Applied Relevance Announces Epinomy Version 7

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Menlo Park, California (PRWEB) December 23, 2013 — Applied Relevance announces Epinomy optimized for MarkLogic 7, a leading NoSQL database platform for managing big data. Epinomy is an advanced information management application for organizing, tagging and classifying structured and unstructured big data content. Epinomy’s semantic engine allows organizations to easily build ontologies and auto-tag documents with metadata, enabling information managers to harness the power of ‘triple stores’ allowing users to quickly search and find all relevant structured and unstructured information all the time. Read more

In Search Of Apps To Leverage Public BioMolecular Data In RDF Platform

rsz_rdfpfThe European Molecular Biology Laboratory (EMBL) and the European Bioinformatics Institute (EBI) that is part of Europe’s leading life sciences laboratory this fall launched a new RDF platform hosting data from six of the public database archives it maintains. That includes peer-reviewed and published data, submitted through large-scale experiments, from databases covering genes and gene expression, proteins (with SIB), pathways, samples, biomodels and molecules with drug-like properties. And next week, during a competition at SWAT4LS in Edinburgh, it’s hoping to draw developers with innovative use case ideas for life-sciences apps that can leverage that data to the benefit of bioinformaticians or bench biologists.

“We need developers to build apps on top of the platform, to build apps to pull in data from these and other sources,” explains Andy Jenkinson, Technical Project Manager at EMBL-EBI. “There is the potential using semantic technology to build those apps more rapidly,” he says, as it streamlines integrating biological data, which is a huge challenge given the data’s complexity and variety. And such apps will be a great help for lab scientists who don’t know anything about working directly with RDF data and SPARQL queries.

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PhUSE and CDISC Announce Draft RDF Representation of Existing CDISC Data Standards

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Silver Spring, MD (PRWEB) October 30, 2013 — PhUSE and CDISC are happy to announce the completion of Phase I of the FDA/PhUSE Semantic Technology Working Group Project. The PhUSE Semantic Technology Working Group aims to investigate how formal semantic standards can support the clinical and non-clinical trial data life cycle from protocol to submission. This deliverable includes a draft set of existing CDISC standards represented in RDF. Read more

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