Curated for content, computing, and digital experience professionals

Category: Publishing & media (Page 13 of 53)

The Gilbane Report

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The Gilbane Report on Open Information & Document Systems (ISSN 1067-8719) was periodical launched in March, 1993 by Publishing Technology Management Inc. which was founded by Frank Gilbane, its president, in June, 1987.

The Gilbane Report was sold to CAP Ventures Inc in December 1994, who published it until May, 1999, when it was bought by Bluebill Advisors, Inc. a consulting and advisory firm founded by Frank Gilbane. Bluebill Advisors continued to publish the Gilbane Report until March, 2005. The Gilbane Report issues from 1993 – 2005 remain available in either HTML or PDF (or both), on the Gilbane Advisor website, which is owned by Bluebill Advisors Inc.

Below is a link to the first issue of the Gilbane Report. There is also a PDF version.

Digital experience

Digital experience (DX) emerged from work in the 1990s on “experience management” which included customers, employees, suppliers, and other stakeholders. Customer experience (CX) became the primary focus of experience management in the 2000s fueled by the growth of web commerce and other digital marketing channels. Technology suppliers and analysts serving marketing organizations began targeting CX in their products and services with features and their own marketing and branding efforts. In particular many “web content management (WCM) systems” became “customer experience management” (CXM), web experience management” or “web engagement management” systems (both using the WEM acronym). Most of these same products and services were also applicable and already in use for managing other stakeholder experiences, and became “digital experience” (DX) systems or platforms (DXPs), with CX being one component. 

A positive digital experience requires much more than a pretty and fast web page or mobile app. There are other marketing technologies,  internal back-end systems, supply chains, and operational workflows, digital or not, that need to be integrated with to ensure a smooth and informed experience. See Digital Experience is all about integration and agility.

Metadata

The term metadata refers to “data about data”, but both uses of “data” in practice are loose, in that they can refer to structured, unstructured, or semi-structured data, and can be descriptive or prescriptive. Metadata can also refer to physical objects.

Metadata is especially useful for creating, managing, publishing, categorizing, searching, and enhancing digital information. See the Wikipedia page on the Dublin Core for a good description.

https://en.wikipedia.org/wiki/Dublin_Core

 

multichannel publishing

This term came into widespread use with the emergence of electronic documents, especially after the Web was created. Since then “multi-channel” has grown to mean any number of channels and even an unknown, n + 1, number of channels given the proliferation of devices and applications. 

“Omnichannel” or omni-channel publishing became a popular concept among marketers to refer to “all the channels”, including physical and digital, to a customer, and the desire to synchronize all channels and touch points for a good customer experience. Marketers are of course hopeful by nature.

Also see single source publishing, multipurpose publishing, SGML, and XML.

computer aided translation

Now more commonly known as machine translation (MT), refers to the the use of software to translate text or speech from one language to another. In the 80s and 90s MT software was rule-based, but in the 2000s statistical analysis and the re-emergence of neural networking and more advanced machine learning techniques have proved to be far more successful.

 

Digital rights management

Digital rights management (DRM) is a class of controversial access control technologies that are used by hardware manufacturers, publishers, copyright holders, and individuals with the intent to limit the use of digital content and devices after sale. DRM is any technology that inhibits uses of digital content that are not desired or intended by the content provider. DRM also includes specific instances of digital works or devices. Companies such as Amazon, AT&T, AOL, Apple Inc.

For an early view of digital rights management and XrML see:

XrML and Emerging Models of Content Development and Distribution

XML editor

An XML editor is a markup language editor with added functionality to facilitate the editing of XML. This can be done using a plain text editor, with all the code visible, but XML editors have added facilities like tag completion and menus and buttons for tasks that are common in XML editing, based on data supplied with document type definition (DTD) or the XML tree.

Gilbane Advisor 9-18-19 — Good/bad Google, multi-purpose content, face recognition & DBs

Less than half of Google searches now result in a click

Some mixed news about Google for publishers and advertisers in the past few weeks. We’ll start with the not-so-good news about clicks, especially as it turns out, for mobile, detailed by Rand Fishkin…

We’ve passed a milestone in Google’s evolution from search engine to walled-garden. In June of 2019, for the first time, a majority of all browser-based searches on Google resulted in zero-clicks. Read More

Google organic click stats

Google moves to prioritize original reporting in search

Nieman Labs’ Laura Hazard Owen provides some context on the most welcome change Google’s Richard Gingras announced last week. Of course there are questions around what ‘original reporting’ means, for Google and all of us, and we’ll have to see how well Google navigates this fuzziness. Read More

Designing multi-purpose content

The efficiency and effectiveness of multi-purpose content strategies are well known, as are many techniques for successful implementation. What is not so easy is justifying, assembling, and educating a multi-discipline content team. Content strategist Michael Andrews provides a clear explanation and example of the benefits of multi-purpose content designed by a cross-functional team that is accessible for non-specialists. Read More

Face recognition, bad people and bad data

Benedict Evans…

We worry about face recognition just as we worried about databases – we worry what happens if they contain bad data and we worry what bad people might do with them … we worry what happens if it [facial recognition] doesn’t work and we worry what happens if it does work.

This comparison turns out to be a familiar and fertile foundation for exploring what can go wrong and what we should do about it.

The article also serves as a subtle and still necessary reminder that face recognition and other machine learning applications are vastly more limited than what ‘AI’ conjures up for many. Read More

Also…

A few more links in this issue as we catch up from our August vacation.

The Gilbane Advisor curates content for content management, computing, and digital experience professionals. We focus on strategic technologies. We publish more or less twice a month except for August and December.

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