Posts by Melody Smith
Can Software Replace PR Professionals?
Like every other industry out there, the cost of human service is the most expensive column on the balance sheet. This makes it the one constantly targeted for automation to ultimately reduce cost and increase efficiency.
Read MoreChanges in the PR Industry
With the start of 2011 almost here, how will technology change the PR industry in the coming years? With a growing emphasis on specialized skill sets, the industry is becoming commoditized. Agencies are looking for specialists who bring access to a ready-made network of relevant contacts.
Read MoreMetaVis Wants To Keep Your Content Searchable
MetaVis Technologies, Inc., announced that its SharePoint migration, metadata management and classification products support Microsoft Office 365 migration. With the MetaVis Suite, users will be able to design a SharePoint information architecture for Office 356 that leverages metadata management and taxonomy structures to keep content organized and searchable.
Read MoreHow Findable is Your Information?
The time which we spend looking for information is time taken away from other important tasks. Collecting information so that it is “findable” is beyond technology, beyond search; it is an understanding of how technology collects and indexes content to produce the right results.
Read MoreECONIS and EBSCO – Working Together
Metadata from ECONIS will soon be searchable through EBSCO Discovery Service (EDS) from EBSCO Publishing. The German National Library of Economics—Leibniz Information Centre for Economics is the world’s largest library for economics and ECONIS is one of the world’s largest databases dedicated to economics.
Read MoreHuman and Automated Indexing Combine for Greater Results
Continental DataGraphics enables organizations to go digital with their documentation. Different engineering software formats and delivery platforms can be provided for the delivery of the scanned output. The company also employs Business Solutions Architects to work alongside clients to inspect each aspect of the document imaging and management process. This allows clients proper and easier data storage, retrieval and archiving.
Read MoreSemantic Technology is Hot
In the new trend projections for 2011, mobile and semantic web top the list. Content strategists can expect project what the changing mobile market will look like, and how they can align their content strategy to their mobile business strategy.
Read MoreSearching Extreme Amounts of e-Data a Challenge
How many electronic records does it take before it becomes unsearchable? During a hearing last December, defense lawyers argued that the extreme amount of electronic data provided — the equivalent of 8,000 to 10,000 boxes of paper — was so mammoth and disorganized that it couldn’t be effectively searched for information that might help the defendants. In a ruling afterward, the judge agreed, ordering the prosecution to “re-disclose” any relevant material in a more organized fashion.
Read MoreSynthesys v3.0 Released
Digital Reasoning Systems Inc. released their flagship solution for cloud-scale analytics in government and commercial markets – Synthesys v3.0.
Read MoreMaster Data Management
There’s a lot of discussion lately about Master Data Management; what it is and isn’t. Why is this of interest to the taxonomy practitioner? To a large extent a controlled vocabulary is trying to accomplish the same thing at the conceptual level as MDM is at the data level. MDM removes ambiguity at the data level through a variety of means as described in the item referenced in the above link. The how and why of MDM can provide valuable insight into the data workings of an organization. This can lead to a much more powerful enterprise taxonomy – one that can truly span the vast store of enterprise content. An MDM initiative is an ideal place to insert a taxonomic strategy and implementation. Making the business case for a taxonomy initiative, getting it funded, approved, and implemented will be easier if you can align yourself with an MDM initiative. An MDM deployment to succeed must analyze and potentially process all of an organizations data stores. Resolving data and structural ambiguities is also a great time to resolve conceptual ambiguities.
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