structured data

And every one of those articles is coupled with structured data that makes it easy to mix and match with other data sources.

As mentioned, one goal of SDO is that it is possible to represent the sort of structured data usually stored as XML.

Microformats, another version of structured data in XHTML, was launched a little more than a year later by a grassroots group of developers.

RDF is often used to represent semi-structured data.

At this point, it looks like Google is forging ahead with its own structured data standards - and largely ignoring microformats.

Coupled with its JSONP support and jQuery, YQL lets you access structured data across the Web through a single unified interface.

You see, for a while now, people have tried to extract structured data from the unstructured Web.

There is good reason for that: It's easy to parse structured data.

Many sites are generated from structured data, which is often stored in databases.

For simple applications, it will let you save and load structured data in just a few lines of code.

This makes them useful for representing the kind of structured data that when stored would commonly be held in an XML file.

Semi-structured data refers to data with some form of structure but not enough structure to fit gracefully into a relational model.

The Semantic Web offers a powerful new strategy for consolidating both text and structured data into a comprehensive collections and views.

CouchDB can be a great alternative to relational databases for many applications, especially ones involving less-structured data.

Allows structured data to be stored, retrieved, and manipulated through a relational.

Extensible Markup Language (XML) is a format used to deliver rich, structured data in a standard, consistent way .

BigTable is now used by over sixty Google products and projects as the platform for storing and retrieving structured data.

SimpleDB allows structured data to be saved and queried through a Web services interface.

The latter is called surface reconstruction using structured data.

It hasn't been as wild a ride as Structured Data or Real-Time Web, but we consider personalization to be a key facet of the evolving Web.

Semi-structured data represented by XML can be perceived as a labeled, directed graph containing one root vertex.

Call it structured data if you like, I call it a surefire recipe for making a bad dog buying decision.

Usually an API is a way to get structured data, in XML or JSON format, out of an otherwise unstructured Web site.

SOAP is an XML-based protocol specification for exchanging structured data within the context of Web services.

The page refers to it as a structured data type similar to variables in Python or Perl.

RDF is increasingly recognized as an excellent choice for representing and processing semi-structured data.

Semi-structured data, primarily in the form of HTML, is enabling new prospects for mining data from the web.

Another helpful rule of thumb is to make a distinction between structured data and unstructured data.

So I ve waited for some time for a problem to come along that required structured data exchange, which is exactly what XML was created for.

Many applications, especially search engines, can benefit greatly from direct access to this structured data.

Message-oriented: Applications passing data using BEEP are expected to communicate using defined bundles of structured data.

In contrast, structured data types have componets that are built from simple types with rules to define relationships among the componets.

Mozilla also uses Resource Description Framework (RDF) to manage semi-structured data used in XUL.

Structured data types exhibit a behavior known as inheritance.

If you choose to generate a format file, you can whenever you export data out of that table or import like-structured data into SQL Server.

Unlike HTML, which uses tags for describing presentation and data, XML is strictly for the definition of portable structured data.

According to Yahoo, Facebook shared this structured data with the SearchMonkey app by adding semantic markup to its public profile pages.

Use Amazon SimpleDB to store the structured data and put a handle to the items in the Amazon SQS message.

Databases contain structured data as well.

These tend to be more useful for finding highly structured data than for identifying conceptual contents.

Bigtable is a distributed storage system for managing structured data (see Resources for more information).

ADO. NET Data Services is a framework for developing REST-style interfaces for working with collections of structured data.

Storing arbitrary structured data in a relational database will always be tricky.

For this type of interaction, you can use one of the many structured data standards, such as JavaScript Object Notation (JSON) or XML.

Choosing these technologies to manipulate structured data was a no-brainer for us.

As shown in Figure 1, SDO programmers work with data graphs (collections of tree-structured data) that consist of one or more data objects.

This standardization guarantees that structured data will be uniform and independent of applications or vendors.

HTML represents one common form of semi-structured data.

These attributes make XML dialects prime vocabularies for representing semi-structured data.

The code as presented above will enable you to efficiently query structured data, such as LDAP-based employee information, quickly.

This structured data is much more interesting than the mere presence of search terms in a full text search.

HBase is a scalable, distributed, column-oriented dynamic-schema database for structured data.

What will be particularly interesting to watch is how microformats, the Web community's open standards for structured data, will fare.

PPML is a simple, people will want to read the language in which it is based on a structured data hierarchy to describe file process.

Microformats are a pragmatic approach to solving the issue of structured data on the Web.

Conventional applications store "structured data" in tables.

Property is used for persistent storage of structured data using a type-safe API.

Regular databases can store both highly structured data and unstructured documents.

As the article already mentioned, YQL is a SQL-like language to query structured data in the Web.

The characteristics of semi-structured data are their irregular or incomplete structure.

Earlier this week Amazon introduced a beta of SimpleDB, a web service for running queries on structured data in real time.

Extensible Markup Language (XML) provides a method for describing structured data.

But for whatever reason, the semantic Web hasn't taken off, and the problem of finding structured data in an unstructured world remains.

Data can arrive from -- or be delivered back to -- servers that use XML to define structured data.

Now, the most research work on privacy preservation is almost facing structured data - relational data.

YQL is basically a query language based on SQL that lets you query and retrieve structured data from multiple services in a standard way.

This function would read the XML documents from a file and return the contents as structured data output.

Collect and track structured data in your team workspace, and export or synchronize results with enterprise systems.

Clojure favors uniform interfaces, so it encourages storing structured data in maps.

Data objects are the SDO representation of structured data.

XML is a text representation for a tree-structured data.

"The one underinvested place on the internet from a technology and structured data perspective is content. "

Open types like CompositeData can represent complex (that is, non-primitive or structured) data in terms of the more fundamental types.

Nevertheless it's clear to us that the time for structured data has come.

Until now. Microformats are one small step forward toward exporting structured data on the Web.

Web services also benefit from the structured data in message-passing environments.

That's structured data that many, many companies could take advantage of.

InfoSphere MashupHub client provides tools to create data feeds from structured and semi-structured data sources.

Most of the structured data is maintained today in relational systems.

Hadoop is well-suited for processing huge files containing structured data.

XML is a text-based format for creating structured data accessible in any language and from any platform.

In this article, we have focused on the data consolidation pattern for structured data.

In May of 2011, the triumvirate of Google, Yahoo, and Bing announced schema. org and got everyone talking about structured data.

When this data is formatted into HTML, it becomes very difficult to recover the original structured data.

Other refinements not mentioned in this article are mainly used when working with arrays and other structured data.

There is no solution for local storage and caching of structured data.

In the previous steps, you configured the adapter to use structured data (DTF).

Not all classes represent structured data in the application domain.

A data graph is a collection of tree-structured or graph-structured data objects.

In cases of highly structured data, perhaps JavaScript Object Notation (JSON) is a better alternative.

In cases of highly structured data, perhaps JavaScript Object Notation (JSON) is a better alternative.

For more information about objects, see Structured Data.

XML data files (. Xml), which contain the custom tags and structured data.

Table 2 lists the more common information types that you can easily mark up as structured data.

As more and more companies use XML to transmit structured data across the Web, the security of documents becomes increasingly important.

EMF is a modeling framework and code generation facility for building tools and other applications based on a structured data model.

And finally, new built-in XML functions allow easy creation of XML contents from structured data in DB2 tables.

Business processes often rely on access to structured data.

Listing 13 uses a language called YAML, which describes structured data (see Resources).

The first major Web trend we're looking at is Structured Data .

The advantage of XML over HTML is that it separates the user interface from the structured data.

Structured data from database tables or queries.

The key is tying it together with the structured data and do really deep analytics on that.

Data objects are generic and provide a common view of structured data built by a DMS.

To be used when the field points to more remote structured data.

BAR CODING. STRUCTURED DATA FILES. (EUROPEAN STANDARD EN 12403).

XML is a technology that is designed for managing and sharing structured data in a human-readable text file.

Note that structured data types are not supported.

The part of this we will focus on here is the local object and structured data storage.

XML provides a uniform method for describing and exchanging structured data that is independent of applications or vendors.

If you're working with highly structured data with lots of relationships, it's the way to go.

The XML Integrator (XI) Engine is a tool for converting data between XML and structured data formats such as relational or LDAP data.

Can you store semi-structured data in relational structures?

The lesson of JSON is that many applications don't need or want the flexibly structured data that XML enables.

Pattern trees form a natural basis to query tree-structured data such as XML and LDAP.

The World Wide Web Consortium (W3C) defines XML standards so that structured data will be uniform and independent of applications.

A database in SQL Server 2005 is made up of a collection of tables that stores a specific set of structured data.

XML is for semi-structured data.

Structured data (such as XProc markup) is typically easier to reuse than structured code.

This is true even for non-XML data -- sources include forms, Web pages, and other loosely structured data.

There is a data-store API for storing structured data.

JSON for Data: If you have structured or semi-structured data, choose JSON.

In this case, I create an array of hash tables -- a common method to store structured data such as this.

We can see from the above three examples that structured data is rapidly becoming a feature of today's Web.

This is a fairly simple mapping from semi-structured data to HTML.

In 2009 we're seeing more products based on open, structured data e. g. Wolfram Alpha.

Our opening post was about Structured Data. In this article we look at probably the most hyped trend of 2009: the Real-Time Web.

If you have a solution that lets you store semi-structured data, you can also use it to store structured and unstructured data.

If you are looking to store more structured data, you have a couple of options.

EDI is the 'exchange of structured data between the computer systems of business partners' (Parfett, 1993, p13).

Study of Performance Evaluation of Semi-structured Data and Relational Data

It allows you to display data from a back-end data source in addition to other structured data such as XML and arrays.

Study on network transmission of structured-data in military software development

clinical data entry requires combination of structured data and flexibility

Knowledge Discovery of the Semi-structured Data of Web-based Resource

Characteristic analysis of query language for semi-structured data

Data Fusion of the Non-structured Data and Structured Data in Digital Mining

Linear structured data converting applied in netted super media system

The Best Use Case: Leveraging Wikipedia's Structured Data

To represent an abstract data buffer, declare two structured data types

Application of the semi-structured data OEM diagram

Lossless Mapping from Semi-Structured Data to Structured Data

Using XML to extract useful information from semi-structured data sets

A convention for representing structured data

Fast mining frequent patterns in semi-structured data stream

Maximum Frequent Pattern Mining from Semi-Structured Data Based on Rightmost Expansion Technique

Structured data storage in a database

Storage Models and Query Execution of Semi-Structured Data

The Means and Realization of Partly-Structured Data Extract on Web

Representing semi-structured data using XML

Linked Data: Structured Data, But Not Necessarily Semantic

A Method for Converting XML Data into Structured Data

Research on New Product Structure Model Based on Semi-structured Data

Schema Discovery of Semi-structured Data Based on OEM Model

Structured Data Extraction Based on Web Page Tags