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Keeping taxonomy maintenance simple for the stakeholders

“Keep it simple” should be the guiding principle for taxonomy design and maintenance. Stakeholders play an important role in the overall success of the taxonomy design and maintenance process, primarily because of their knowledge of the business. Hence, it is important to keep them engaged and involved without encumbering them with the intricacies of taxonomy […]

Unlocking the value of smart content by using a new pattern

Media Entertainment Services Alliance (MESA) introduced smart content – the concept of connecting all the data surrounding content – as a concept in 2014. Since then, several projects around the industry have exemplified the value of this idea. However, some of the highly successful projects had to abstain from the traditional approach and embrace an […]

Factors involved in combining taxonomies

Organizations often use multiple taxonomies to improve the service findability for their target audience. Sometimes, they would also like to combine these taxonomies for facilitating search using a keyword for instant retrieval of information and for augmenting sparse or missing data from one organization to another. Maryamm, a project manager at Appnovation, provides an overview […]

Gathering insights from unstructured data with the help of text analytics and sentiment analysis tools

Enterprise data is made up of structured and unstructured data. Often, enterprises stops mining structured data, as it is visible and accessible. This means unstructured data, which forms 80 percent of all the available data in an enterprise, is underutilized. Jitin Agarwal, Vice President, Enterprise Products, at Epam, says enterprises should consider prioritizing mining unstructured […]

How CDER uses text analytics to capture insights from the data maze

The Center for Drug Evaluation and Research (CDER) within the U.S. Food and Drug Administration (FDA) is responsible for ensuring the marketing of safe and effective drugs in the United States. It also regulates prescription drugs and over-the-counter drugs. Judith Lamont, a research analyst and a senior writer with KMWorld, highlights how CDER uses statistical […]

Enabling machine learning to handle ambiguity

It is tough to preempt simple factors such as uncertainty when using machine learning (ML) and artificial intelligence (AI). For example, in image classification, if the image features in the data are not captured accurately, the output will be vague. While writing in the Analytics India Magazine, Abhishek Sharma states that this ambiguity is common […]

Some points to consider before buying a graph database

Graph databases are witnessing an upsurge of interest from enterprises, primarily for their speed and user-friendliness. There are many graph databases, each with their own strengths. Some enterprises are testing and buying them. For others, Mingxi Wu, Vice-President of Engineering for TigerGraph, offers his suggestions. Mingxi bases his recommendations on the years of experience gained […]

Getting targeted results with subject indexes

In most cases, subject matter experts (SMEs) are tasked with streamlining academic research on a targeted topic by developing indexes. These indexes provide controlled vocabularies (CVs) that will guide researchers towards targeted inclusive results and thus save time. In fact, top subject indexes can ensure access to the most relevant results and enable serious researchers […]

Program for the Taxonomy Boot Camp in London announced

Online registration opened this week for the third Taxonomy Boot Camp at Olympia London, UK on 16th and 17th October 2018. Whatever your level of taxonomy expertise – from a newbie to a seasoned information professional – Taxonomy Boot Camp London will help you energize your data, content and information processes to embed taxonomies across […]

Leveraging machine learning to overcome the challenges of searching science data

Scientific data sets are increasing in both size and complexity. Consequently, the ability to label, filter, and search information is becoming laborious, time-consuming and at times even an impossible task for the scientists. Hence, there is a dependence on automated tools. Responding to this need, researchers are developing tools that will make raw data searchable […]