Mathematical Markup Language (MathML) is an application of XML for describing mathematical notations and capturing both its structure and content. It aims at integrating mathematical formulae into World Wide Web pages and other documents. It is a recommendation of the W3C math working group. MathML is not intended to be written or edited directly by humans, but exceptions are more likely to be made for Presentation MathML than for Content MathML.
Category: Content management & strategy (Page 93 of 478)
This category includes editorial and news blog posts related to content management and content strategy. For older, long form reports, papers, and research on these topics see our Resources page.
Content management is a broad topic that refers to the management of unstructured or semi-structured content as a standalone system or a component of another system. Varieties of content management systems (CMS) include: web content management (WCM), enterprise content management (ECM), component content management (CCM), and digital asset management (DAM) systems. Content management systems are also now widely marketed as Digital Experience Management (DEM or DXM, DXP), and Customer Experience Management (CEM or CXM) systems or platforms, and may include additional marketing technology functions.
Content strategy topics include information architecture, content and information models, content globalization, and localization.
For some historical perspective see:
https://gilbane.com/gilbane-report-vol-8-num-8-what-is-content-management/
Lucidworks announced the Advanced Linguistics Package for Lucidworks Fusion to power personalized search for users in Asian, European, and Middle Eastern markets. Lucidworks now embeds text analytics from Basis Technology, provider of AI for natural language processing. According to the companies, building, testing, and maintaining the many algorithms and models required to properly support each language is challenging and expensive. Asian, Middle Eastern, and certain European languages require additional processes to handle unique linguistic phenomena, such as lack of whitespace, compound words, and multiple forms of the same word. The combination of Basis with the AI-powered search platform of Lucidworks Fusion is expected to provide accuracy and performance enhancements in information retrieval for the digital experience. Lucidworks’ Advanced Linguistics Package provides language processing in more than 30 languages and advanced entity extraction in 21 languages. By accurately analyzing the text, in the language it was written, Rosette helps the Lucidworks Fusion platform deliver the right answers to every user, regardless of where they work or what language they use.
Jahia Solutions Group launched an enhanced version of the Jahia DXP. This cloud-based solution enables customers to better leverage content and customer data so they can accelerate and enhance their customers’ digital journeys. Jahia’s DXP gives marketers at global organizations a way of delivering digital experiences to their customers while leveraging their existing technology stack. Jahia also provides technical support and training for developers, systems administrators and content editors. The new version includes:
- Improved user experience focuses on streamlining the creation, publishing and personalization of content
- New Jahia Cloud delivers a serverless DXP with autoscale for performance and flexibility
- New free trial of Jahia’s Cloud DXP allows users to start using Jahia more quickly
- New Jahia’s StackConnect includes more than 400 out-of-the-box connectors with no code workflows. StackConnect allows customers to connect and build their digital stack while staying in their current workflow with their own tools
- New Platform & Module Deployments, including OSGI, JDK 11 support, Tomcat 9 and Docker support
- Enhanced ability to consume content and data everywhere through advanced API/GraphQL enhancing the headless capabilities.
- Enhanced SEO, compliance and accessibility features through a SiteImprove integration.
Hugging Face is taking its first step into machine translation this week with the release of more than 1,000 models. Researchers trained models using unsupervised learning and the Open Parallel Corpus (OPUS). OPUS is a project undertaken by the University of Helsinki and global partners to gather and open-source a wide variety of language data sets, particularly for low resource languages. Low resource languages are those with less training data than more commonly used languages like English.
Models trained with OPUS data now make up the majority of models provided by Hugging Face and the University of Helsinki’s Language Technology and Research Group the largest contributing organization. Before this week, Hugging Face was best known for enabling easy access to state-of-the-art language models and language generation models, like Google’s BERT, which can predict the next characters, words, or sentences that will appear in text. The Hugging Face Transformers library for Python includes pretrained versions of advanced and state-of-the-art NLP models like versions of Google AI’s BERT and XLNet, Facebook AI’s RoBERTa, and OpenAI’s GPT-2.
Progress announced the release of Progress Sitefinity 13 Digital Experience Platform (DXP). The new release includes:
- A new productivity environment to manage digital assets and classify content in a consistent and resource-efficient manner
- The ability to control the look and feel of the presentation layer while delivering content to a myriad of channels. This is possible through the new page layout service that decouples content from presentation when distributed to external channels.
- Personalization based on custom tags such as title, campaign source or other attributes as well as consistent, personalized experiences for returning visitors, regardless of the initial touch point.
- Customer journey and online touchpoint monitoring based on machine learning, enabling marketers to receive proactive touchpoint alerts in order to spot new opportunities and improve the ROI of marketing campaigns.
- Data-driven analytics to measure the performance of content with a comprehensive view of all personalization initiatives as well as the ability to export data directly to Google Data Studio for expanded data analysis options.
SDL announced it has advanced its partnership level with Veeva Systems (“Veeva”), supporting the product life cycle for pharmaceutical and Life Sciences companies. SDL Translation Management System (TMS) is integrated with the Veeva Vault RIM Suite, a cloud-based Regulatory Information Management (RIM) system. In the biopharmaceutical sector, companies must react quickly to complex regulatory updates across multiple regions. The combination of SDL’s network of in-house certified medical translators with SDL’s translation management technology provides an integrated set of translation capabilities within Veeva Vault RIM. This integration enables Veeva Vault RIM customers to automate multilingual tasks relating to regulatory document submissions, engagement with health authorities and product registration. SDL joined Veeva Systems’ Technology Partner Program in 2018. https://www.sdl.com
Adobe and ServiceNow announced the availability of its partnership integration connecting data from Adobe Experience Platform and ServiceNow’s Customer Service Management workflow product to enable more seamless, connected customer experiences. Connecting Adobe Experience Platform, its Customer Experience Management (CXM) platform, and ServiceNow’s Customer Service Management product provides brands with a more complete view of the customer. Through this integration, Adobe and ServiceNow joint customers can:
- Establish Context to Drive Brand Loyalty
Enterprises are often challenged by navigating internal silos of data pertaining to interactions with their customers. This integration creates data workflows that removes those barriers and connects marketing and customer service organizations. - Gain Deeper Insights for Personalization
Great experiences are built on the understanding of a customer’s journey. Customers can streamline work between teams by aggregating data during the “evaluate” and “purchase” touchpoints, and capture service interactions to ultimately build rich, real-time customer profiles. - Improve Customer Experiences
A seamless customer experience allows for anticipating needs before they arise. With ServiceNow, organizations will understand which products or services the customer owns and uses, allowing organizations to drive towards greater personalization.
The Metadata Object Description Schema (MODS) is an XML-based bibliographic description schema developed by the United States Library of Congress’ Network Development and Standards Office. MODS was designed as a compromise between the complexity of the MARC format used by libraries and the extreme simplicity of Dublin Core metadata.
Subscribe to the Gilbane Advisor
