Posts Tagged ‘Data’
Natural Language Processing Interprets Data
Making data findable and usable is no easy task. Searching, finding and and analyzing data patterns from the varied data sources requires advanced technology. This interesting information came to us from DATAVERSITY in their article, “Identify Data Patterns with Natural Language Processing and Machine Learning.” Organizations that are armed with the latest technologies like natural language…
Read MoreAnalyzing Relationships
Latent semantic indexing (LSI) is a natural language processing technique that analyzes relationships between a set of documents and the terms they contain. The result? Search engines can identify related terms for keywords by researching through billions of pages and use these findings to evaluate whether a web page offers truly comprehensive content related to a…
Read MoreNet Neutrality and Its Importance to Academia
The Federal Communication Commission (FCC) has voted to repeal net neutrality rules enacted in 2015 to stop Internet service providers (ISPs) from blocking and tightening control on content. So what does this mean for academics in the digital world? This topic came to us from EdSurge in their article, “Will Net Neutrality Reversal Hurt Digital Learning? As Vote…
Read MoreData Harmony Helps You Do Your Job Better
Crowdsourcing is becoming quite popular. Imagine it is like asking your neighbors for a recommendation of where they got their new windows but multiply it by however big your “crowd” is. It isn’t always about recommendations; sometimes it is developing solutions for a situation that needs the combination of talent and genius found among your…
Read MoreClassifications of Those Rejected
You already know my fascination with odd taxonomies and classifications. Remember the deeper dive into Tom Cruise movies? Or how about the post identifying traits of hipsters? And let’s not forget the one on coffee… mmm coffee. So when I see an article titled, “A taxonomy of the jilted“, you know I can’t just scroll…
Read MoreGraph Databases and Relationships
A graph database uses graph structures for semantic queries. A key concept of the system is the graph which directly relates data items in the store and allows data in the store to be linked together directly. These are the fastest growing area in data management. This interesting information came to us from Datanami in their article, “A Look at the Graph Database…
Read MoreA Semantic Analysis of Constitutions
Using big data analytics techniques, researchers at Dartmouth College have created a taxonomy of the world’s constitutions. This analysis is discussed in the EurekAlert! article “Big data creates family tree of constitutions.” EurekAlert! is a service of the American Association for the Advancement of Science (AAAS). The Dartmouth study applied subject indexing to the documents in order to define constitutional topics, and…
Read MoreAI Everywhere
The typical pattern we see in technological advancement is an increase in performance, cost reduction, and increased public access after a new technology hits the market. Not so with health care, it seems. The increase in technology in the healthcare arena tends to add extra layers to an already-complicated system, which translates to increased costs…
Read MoreManaging Unstructured Data
Organizations rely on digitized unstructured data for insights in terms of business decisions. In this world of information overload, around 80% of data collected is unstructured, assembled from emails, social media feeds and user devices. CIO Review brought this information to our attention in their article, “Analyzing Unstructured Data.” Analyzing unstructured data can be challenging. If…
Read MoreIntegrating Data
Big data disruption has resulted in the need to rapidly integrate and exchange data of all types among disparate systems, applications and infrastructure. This requires a new approach. KM World brought this news to our attention in their article, “Disrupting the data landscape again with linked open data.” As the focus shifts from internal, proprietary…
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