How to get a good ontology for enterprises
Enterprises have three options when they want to have an ontology. They can borrow from an open source domain, buy a license to a formal ontology set, or build their own. Each of these options has its own set of advantages and disadvantages. So, what should enterprises do? According to Kurt Cagle, principal consultant at […]
Read moreHow to Turn Content into a True Information Asset with AI
The rise of artificial intelligence (AI) has opened the door for employing it to manage enterprise information better. However, how can enterprises go beyond using AI from extracting value and insight from the mass of content and data that already exists? According to David Jones, vice president of product marketing at Nuxeo, there are four […]
Read moreBest Practices to Ensure Taxonomies Empower Enterprise Search
How can an enterprise ensure that the taxonomy it is building will improve the relevance of search results? This question is particularly significant because barring ISO 25964, which is actually a standard for thesaurus development, there are no standards for taxonomy. In a scenario, where there is neither a right nor a wrong way to […]
Read moreHow Knowledge Graphs Can Help Doctors and Health Caregivers
Graphs have soon become the backbone of multiple applications – from search engines and recommender systems to intelligent chatbots. Hence, it is no surprise that they are effective in the healthcare domain as well. In this blog post, Rhicheek Patra, a Senior Researcher at Oracle Labs, introduces some of the data-related challenges faced by healthcare […]
Read moreUber Expert on Building Knowledge Graphs for Uber
Joshua Shinavier, a research scientist at Uber spoke at a two-day conference on “knowledge graphs,” hosted by Columbia University’s School of Professional Studies. During the talk, he shared insights on how graphing tools were used to manage entities and relationships for the huge data management tasks at Uber. The focus of his presentation was on […]
Read moreLeveraging DAM Data to Improve Search
The search function in digital asset management (DAM) platforms can make DAM users efficient in locating, sharing, and reusing those valuable digital assets. It is a well-known fact that metadata powers search and the DAM itself can provide a wealth of data to help bolster search optimization. This article by Anna Securda, Systems Manager, Digital […]
Read moreBringing the Best of Centralization and Decentralization by Leveraging a Hybrid Form of Knowledge Management
Ahren Lehnert, Senior Manager, Text Analytics Solutions, Synaptica, recently spoke at the KMI Showcase in Arlington, Virginia. A variety of topics were discussed. However, two seemingly opposing themes on knowledge management —centralization and decentralization—caught his attention. Knowledge management (KM) is about capturing, storing, and retrieving information. Each of these phases in the knowledge lifecycle can […]
Read moreBuilding a Social Intelligence Taxonomy
In the social intelligence industry, multiple business units and disciplines are using and analyzing social data. These disciplines have their own language for discussing social data analysis. According to Jillian Ney, founder of The Social Intelligence Lab, multiple languages make it a challenge to discuss social data as each discipline has its own terms, definitions, […]
Read moreMaking Actionable Knowledge Available Through Metadata
Inability to identify intelligent metadata from within content impacts the entire content management lifecycle. This challenge is compounded by the fact that only about 20 percent of the enterprises employ effective metadata and classification of their data. Carla Mulley, Vice President of Marketing, Concept Searching, describes how intelligent knowledge or intelligent metadata can be created […]
Read moreHow Object Storage Sheds Light on Dark Data
Dark data, mostly unstructured, grows many times faster than structured business data. It is retained by enterprises by deploying huge storage, backup, and management infrastructure. However, enterprises find extracting value from these clutters a challenge. This article titled “Illuminate the dark data to make the big digital leap” published as part of the IDG Contributor […]
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