![]() ![]() To be sure, there was a lot of content about various Citrix products out in cyberspace, but very little of it came directly from Citrix. Yet just repurposing the content in product manuals for print and electronic distribution, and publishing the same information as HTML and PDF documents, did not change the customer experience.Ī few years ago, Citrix information specialists had a key insight: customers expected to find support information by googling the web. The company had adopted DITA for structured publishing several years ago. It’s important to build on your XML infrastructure, enrich your content a little bit (to the extent that your business environment is able to support), and expect to iterate over time.Ĭonsider what happened at Citrix, reported in our case study Optimizing the Customer Experience at Citrix: Restructuring Documentation and Training for Web Delivery. One of the conclusions of our report Smart Content in the Enterprise (forthcoming next week) is how a little bit of enrichment goes a long way. Sophia Search is available now to both customers and partners. Sophia Search features a patented Contextual Discovery Engine (CDE) which is based on the linguistic model of Semiotics, the science behind how humans understand the meaning of information in context. By identifying both duplicates and near duplicates, Sophia Search allows organizations to effectively consolidate information and minimizing storage and management costs. Sophia Search helps organizations manage and analyze critical information by discovering the themes and intrinsic relationships behind their information, without taxonomies or ontologies, so that more relevant information may be discovered. Sophia Search is able to deliver a “three-dimensional” solution to discover, consolidate and optimize enterprise data, regardless of its data type or domain. Use of Sophia Search is designed to minimize compliance risk and reduce the cost of storing and managing enterprise information. ![]() See this article for possible virtual machines to use.Sophia, the provider of contextually aware enterprise search solutions, announced Sophia Search, a new search solution which uses a Semiotic-based linguistic model to identify intrinsic terms, phrases and relationships within unstructured content so that it can be recovered, consolidated and leveraged. Create a virtual machine for Windows or Linux and then download and install the Windows or Linux version of XLingPaper on it.If you already have FieldWorks Language Explorer (aka FLEx) installed in a Windows (or Linux) virtual machine, then download and install the Windows (or Linux) version of XLingPaper and use XLingPaper on that virtual machine.See this YouTube video for how you might do this. Then run XLingPaper in that virtual machine. Create what’s called a virtual machine on your Mac and install an older version of Mac OS X in that virtual machine.Sign a petition asking Apple to support 32-bit apps on Catalina. ![]() So what can you do if you find you have or need Catalina? Here are some possibilities: Given the huge number of possible combinations of elements XLingPaper offers, such a process to check as many such combinations as possible is a large and time-consuming undertaking. Our experiments have shown that using one 64-bit Mac version and its associated (newer) LaTeX macros often results in different PDF output or maybe even a failure to produce the PDF compared to the current 32-bit XeLaTeX and its associated LaTeX macros. At this time, we are not planning on doing the massive amount of work that would be required to switch to a 64-bit version of XeLaTeX and the LaTeX macros XLingPaper needs in such a way that we do not introduce bugs. This one is used when producing PDF (the default, XeLaTeX way). Most of the apps that XLingPaper uses are 64-bit, but there is one crucial one that is not. If you are using Catalina, you also will need to do some special steps to get the XMLmind XML Editor (that XLingPaper depends on) to run correctly. Apparently, starting with version 10.15.4, they are enforcing this so that if you try and run a 32-bit app, it gives a “Bad CPU” message. As many Mac users know, starting with Mac OS X 10.15 (Catalina), Apple has decided to no longer support any 32-bit apps.
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