Welcome!

Artificial Intelligence Authors: Zakia Bouachraoui, Elizabeth White, Liz McMillan, Pat Romanski, Carmen Gonzalez

RSS Feed Item

RE: What makes a data component good for standardizing?

The user anticipates you.

It is a negotiation.

len

-----Original Message-----
From: Costello, Roger L. [mailto:[email protected]] 
Sent: Saturday, January 10, 2009 8:34 AM
To: 'xml-dev@l...'
Subject:  What makes a data component good for standardizing?


Hi Folks,

Suppose you set out to create some standard data components. Your goal is to
improve interoperability by creating standardized data components.
Particularly, you want these standardized data components to improve
interoperability between systems that weren't a priori coded to understand
each other's data exchange format (i.e. you want to improve interoperability
with the "unanticipated user").

What makes one data component good, and another bad? 

(By "good" I mean the data component would in fact help improve
interoperability with the unanticipated user. By "bad" I mean the data
component would do little, if anything, to improving interoperability with
the unanticipated user.)

I'll share my initial thoughts. I'd like your feedback on my initial
thoughts, and I'd also like to hear your thoughts.

Note: by "data component" I mean a chunk of markup that can be reused in
multiple XML vocabularies.


MY INITIAL THOUGHTS

I think that some data components would be good to standardize, while others
would not be useful. 

I'll start with two examples of data components would be good to
standardize.

Think about a postal address. It would be a good data component to
standardize. It's a useful data component even if I don't understand the
context in which it's being used. 
 
      For example, suppose some nuclear physicist unexpectedly sends 
      me a document containing data that I have no clue 
      what it means, but embedded in it is a postal address. 
      I may not be able to process all that data about 
      subatomic particles (quarks, neutrinos, etc), but I can 
      pluck out the postal address and store it in my address book. 
 
That's interoperability between unanticipated users, albeit limited.
 
Another example of a useful data component is a business card (vcard).
Again, that's a useful data component that I can immediately utilize, even
if I have no clue what the rest of the document is talking about.
 
These data components are useful independent of their context. I can use the
data components even if I can't use all the stuff that they reside in.
 
Now I'll give an example of a data component which I think would not be
useful to standardize.

Both postal address and vcard gives a person's name (along with other data).
Suppose I decide that I want data components with finer granularity than
postal address or vcard. Would "person name" make a good component for
standardizing?

I think not. A person's name would not be useful independent of context.  
 
      For example, the same nuclear physicist above 
      sends me the same document but containing the
      standardized PersonName data component, about
      a person named "Jim Brown.
      I am PersonName-aware so I am able to pluck out that 
      Jim Brown information, even though I have 
      no clue what the rest of the document says. 
      Have I gained anything? No. It could be Jim Brown 
      the ex-football player or some other person by that name.
      To make sense of the data component I need to
      understand its context. 
 
I propose these two metrics for evaluating the usefulness of data component:
 
    1. The data component must be standardized
       and broadly adopted (see below).
    2. If I can meaningfully use the data component
       without understanding any of the context in 
       which it resides then it is a good data
       component. If I must understand its context
       then it is a bad data component. 
  
Standardizing is good. It enables two parties to understand each other,
i.e., interoperate. 
 
But standardization is not enough. I want more than interoperability between
two parties that have a priori agreed to a data interchange format. I want
interoperability between two parties that haven't a priori agreed to a data
interchange format. I want interoperability between unanticipated parties.
 
So the key is to not only standardize, but standardize the right things.
 

SUMMARY 

We would go a long way toward advancing interoperability of unanticipated
systems if we focused on creating standardized components that are useful
independent of context.

What do you think?
 
/Roger  
_______________________________________________________________________

XML-DEV is a publicly archived, unmoderated list hosted by OASIS
to support XML implementation and development. To minimize
spam in the archives, you must subscribe before posting.

[Un]Subscribe/change address: http://www.oasis-open.org/mlmanage/
Or unsubscribe: [email protected]
subscribe: [email protected]
List archive: http://lists.xml.org/archives/xml-dev/
List Guidelines: http://www.oasis-open.org/maillists/guidelines.php


Read the original blog entry...

IoT & Smart Cities Stories
Moroccanoil®, the global leader in oil-infused beauty, is thrilled to announce the NEW Moroccanoil Color Depositing Masks, a collection of dual-benefit hair masks that deposit pure pigments while providing the treatment benefits of a deep conditioning mask. The collection consists of seven curated shades for commitment-free, beautifully-colored hair that looks and feels healthy.
The textured-hair category is inarguably the hottest in the haircare space today. This has been driven by the proliferation of founder brands started by curly and coily consumers and savvy consumers who increasingly want products specifically for their texture type. This trend is underscored by the latest insights from NaturallyCurly's 2018 TextureTrends report, released today. According to the 2018 TextureTrends Report, more than 80 percent of women with curly and coily hair say they purcha...
The textured-hair category is inarguably the hottest in the haircare space today. This has been driven by the proliferation of founder brands started by curly and coily consumers and savvy consumers who increasingly want products specifically for their texture type. This trend is underscored by the latest insights from NaturallyCurly's 2018 TextureTrends report, released today. According to the 2018 TextureTrends Report, more than 80 percent of women with curly and coily hair say they purcha...
We all love the many benefits of natural plant oils, used as a deap treatment before shampooing, at home or at the beach, but is there an all-in-one solution for everyday intensive nutrition and modern styling?I am passionate about the benefits of natural extracts with tried-and-tested results, which I have used to develop my own brand (lemon for its acid ph, wheat germ for its fortifying action…). I wanted a product which combined caring and styling effects, and which could be used after shampo...
The platform combines the strengths of Singtel's extensive, intelligent network capabilities with Microsoft's cloud expertise to create a unique solution that sets new standards for IoT applications," said Mr Diomedes Kastanis, Head of IoT at Singtel. "Our solution provides speed, transparency and flexibility, paving the way for a more pervasive use of IoT to accelerate enterprises' digitalisation efforts. AI-powered intelligent connectivity over Microsoft Azure will be the fastest connected pat...
There are many examples of disruption in consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations? AISERA helps make businesses and customers successful by offering consumer-like user experience for support and operations. We have built the world’s first AI-driven IT / HR / Cloud / Customer Support and Operations solution.
Codete accelerates their clients growth through technological expertise and experience. Codite team works with organizations to meet the challenges that digitalization presents. Their clients include digital start-ups as well as established enterprises in the IT industry. To stay competitive in a highly innovative IT industry, strong R&D departments and bold spin-off initiatives is a must. Codete Data Science and Software Architects teams help corporate clients to stay up to date with the mod...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Druva is the global leader in Cloud Data Protection and Management, delivering the industry's first data management-as-a-service solution that aggregates data from endpoints, servers and cloud applications and leverages the public cloud to offer a single pane of glass to enable data protection, governance and intelligence-dramatically increasing the availability and visibility of business critical information, while reducing the risk, cost and complexity of managing and protecting it. Druva's...
BMC has unmatched experience in IT management, supporting 92 of the Forbes Global 100, and earning recognition as an ITSM Gartner Magic Quadrant Leader for five years running. Our solutions offer speed, agility, and efficiency to tackle business challenges in the areas of service management, automation, operations, and the mainframe.