The Three Linked Data Choices for Libraries

We are [finally] on the cusp of establishing a de facto Linked Data approach for libraries and their system suppliers – not there yet but getting there.

We have a choice between BIBFRAME 2.0, Schema.org, Linky MARC and doing nothing.

Hidden Gems in the new Schema.org 3.1 Release

I spend a significant amount of time working on the supporting software, vocabulary contents, and application of Schema.org. So it is with great pleasure, and a certain amount of relief, I share the release of Schema.org 3.1 and share some hidden gems you find in there.

Baby Steps Towards A Library Graph

It is one thing to have a vision, regular readers of this blog will know I have them all the time, its yet another to see it starting to form through the mist into a reality. Several times in the recent past I have spoken of the some of the building blocks for bibliographic data to play a prominent part in the Web of Data.  The Web of Data that is starting to take shape and drive benefits for everyone.  Benefits that for many are hiding in plain site on the results pages of search engines. In those informational panels

WorldCat Works – 197 Million Nuggets of Linked Data

They’re released! A couple of months back I spoke about the preview release of Works data from WorldCat.org.  Today OCLC published a press release announcing the official release of 197 million descriptions of bibliographic Works. A Work is a high-level description of a resource, containing information such as author, name, descriptions, subjects etc., common to all editions of the work.  The description format is based upon some of the properties defined by the CreativeWork type from the Schema.org vocabulary.  In the case of a WorldCat Work description, it also contains [Linked Data] links to individual, OCLC numbered, editions already shared

Surfacing at Semtech San Francisco

So where have I been?   I announce that I am now working as a Technology Evangelist for the the library behemoth OCLC, and then promptly disappear.  The only excuse I have for deserting my followers is that I have been kind of busy getting my feet under the OCLC table, getting to know my new colleagues, the initiatives and projects they are engaged with, the longer term ambitions of the organisation, and of course the more mundane issues of getting my head around the IT, video conferencing, and expense claim procedures. It was therefore great to find myself in San

Who Will Be Mostly Right – Wikidata, Schema.org?

Two, on the surface, totally unconnected posts – yet the the same message. Well that’s how they seem to me anyway.

Post 1 – The Problem With Wikidata from Mark Graham writing in the Atlantic. Post 2 – Danbri has moved on – should we follow? by a former colleague Phil Archer.

Semantic Search, Discovery, and Serendipity

An ambition for the web is to reflect and assist what we humans do in the real world. Search has only brought us part of the way. By identifying key words in web page text, and links between those pages, it makes a reasonable stab at identifying things that might be related to the keywords we enter.

As I commented recently, Semantic Search messages coming from Google indicate that they are taking significant steps towards the ambition. By harvesting Schema.org described metadata embedded in html

Google SEO RDFa and Semantic Search

Today’s Wall Street Journal gives us an insight in to the makeover underway in the Google search department. Over the next few months, Google’s search engine will begin spitting out more than a list of blue Web links. It will also present more facts and direct answers to queries at the top of the search-results page. They are going about this by developing the search engine [that] will better match search queries with a database containing hundreds of millions of “entities”—people, places and things—which the company has quietly amassed in the past two years. The ‘amassing’ got a kick start