While Web services providers are still hashing out how to securely open up their walled gardens to let their users share data with other Web sites, Google extended this notion to bloggers, an integral part of the Web 2.0 ecosystem.
Google Jan. 9 unveiled the Google Blog Converters project, an open-source effort to let bloggers shuttle their blog posts and comments between various blogging services, including Google’s own Blogger, LiveJournal, MovableType and WordPress.
The source code for Blog Converters 1.0 includes templates for hosting these conversions on Google App Engine, the company’s platform for hosting programmers’ Web applications. The effort also includes Python libraries and scripts that convert between the export formats of these blog platforms.
The project will eventually support BlogML and synchronization tools between various services that do not provide an import/export feature but do provide APIs for accessing and modifying blog contents, wrote Google’s J.J. Lueck, of Google’s Data Liberation Front, the effort supporting the Blog Converters project.
The Data Liberation Front may sound like some counter-revolutionary group planning to overthrow the Web, but in reality it’s hardly sinister.
As its name implies, the group is geared to include data across Web services; to make that data portable across other Web services; to allow users access to their own data in the cloud; and to do anything else to allow users to have fine-grained, easy access and control of their data.
The Data Liberation Front is similar in philosophy to Google’s OpenSocial API effort and the Friend Connect service, MySpaceID, Facebook Connect and other efforts to let users move data from one Web platform to the next.
Blog Converters is just one facet of a fundamental shift from siloed Web sites, which lock users in to their services, to a more boundless Web, where users can liberally migrate their data from one Web site to the next.
Efforts such as the contextual Web, where technologies augment Web browsers to make them more intelligent, also embrace this notion.
As a search and Web services leader, Google is expected to be a major player here, and Blog Converters is a step in the right direction.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Aktuelle Nachrichten - Ressourcen Ressourcen-HubsAusgewählte RessourcenLink to The Real AI Power Play: Who Controls Your Enterprise Data Layer?
The Real AI Power Play: Who Controls Your Enterprise Data Layer?IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data
Building the Backbone of Agentic AI with Trusted, Context-Rich DataIn this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.Link to IHG scales real-time, trusted data across global brands
IHG scales real-time, trusted data across global brandsAccelerating time to value while powering data-driven engagementLink to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform InfrastructureAI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to BMC’s Jennifer Margules on Intelligent Enterprise Orchestration
BMC’s Jennifer Margules on Intelligent Enterprise OrchestrationIn this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain World
Global-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldeSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Künstliche Intelligenz -
Video -
Big Data & Analytik -
Cloud -
Netzwerk - Cybersicherheit Cybersicherheit
- Anwendungen Anwendungen
- IT-Verwaltung IT-Verwaltung
- Speicherung Speicherung
- Mobil Mobil
- Kleine Unternehmen Kleine Unternehmen
- Entwicklung Entwicklung
- Datenbank Datenbank
- Server Server
- Android Android
- Apple Apple
- Innovation Innovation
- PC-Hardware PC-Hardware
- Bewertungen Bewertungen
- Suchmaschinen Suchmaschinen
- Virtualisierung Virtualisierung
-
- Blogs Blogs
- Ereignisse Ereignisse