Posts Tagged ‘Findability’
Improving Data Skills
Data skills are now essential for almost every role in every organization. Companies need more people with the ability to interpret data, to draw insights and to ask the right questions in the first place. Organizations that promote data literacy can achieve net gains in data quality, collaborative communication, innovation and work process efficiencies. Enterprise…
Read MoreFinding the Data
Machine learning applications have the potential to transform business strategy in a significant way. They are showing up in obvious and not so obvious platforms and applications, including healthcare. Information Age brought this interesting topic to our attention in their article, “How to sharpen machine learning with smarter management of edge cases.” The key to…
Read MoreSemantic Search and Metadata Work Together
Semantic search is an advanced technology for knowledge discovery that employs a set of semantic technology techniques for retrieving knowledge from richly structured data sources. By using the knowledge graph model, it enables artificial intelligence (AI) systems to understand the meaning of concepts and the relationships between them, which leads to optimizing the accuracy of…
Read MoreUsing Metadata for Findability in Research
Metadata is a term that has been around for awhile and is sometimes mentioned in relation to cybercrime and “big brother” activity, but at its core metadata is data about data. And that can be a great thing. This interesting information came to us from The Scholarly Kitchen in their article “The Experience of Good…
Read MoreAI Improves Data Sharing in Healthcare
Artificial intelligence (AI) continues to make an impact in healthcare. MIT researchers have developed an AI electronic health record (EHR) system that combines machine learning and human-computer interaction to help physicians speed up the process of data access and ease clinician burden. EHR Intelligence brought this information to us in their article, “Artificial Intelligence EHR System May…
Read MoreIndexing Electronic Medical Records Using a Taxonomy
Taxonomies provide hierarchical categorization and classification of not only content, but also products and brands represented in online directories and product catalogs. A controlled vocabulary is a way to insert an interpretive layer of semantics between the terms entered by the user and the underlying database to better represent the original intention of the user’s terms. The…
Read MoreWhat About All This Data?
The modern business marketplace is a data-driven environment. The role of data is to empower business leaders to make decisions based on facts, trends and statistics. But with so much information out there, business leaders must be able to sift through the noise and get the right information to inform their decisions about strategy and…
Read MoreChanging Search to Found
As big data expands, machine learning advances, and integration of data becomes more and more critical, taxonomies and ontologies are getting more attention. This interesting information came to us from Database Trends & Applications in their article, “The Case for Smart Taxonomies.” Taxonomies provide machines with ordered representations. Smart taxonomies can be the basis for…
Read MoreSupporting Your Search with Taxonomies
Enterprise search can retrieve data, both structured and unstructured, within a company. It is beneficial because it enables users to easily access organized information. An organization’s data architecture should be able to offer a method to share and reuse existing data. It should also suppress data duplication for efficient data management and high data quality. This…
Read MoreClassifying History for Findability
Taxonomy is the science of classification – a basic means of understanding the world around us. It is also key in the act of identifying and archiving. This interesting topic came to us from Reflector in their article, “Anthropology students help reclaim history of local cemeteries.” East Carolina University students in the Department of Anthropology…
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