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Building a Content Marketing Taxonomy

Today, content marketing is essential in promoting any enterprise. Consequently, most enterprises have large repositories of content having little or no form of classification. Content marketing taxonomy relates to creating a classification that would simplify the process of accessing the content in these repositories and optimizing its value. Creating a content marketing taxonomy means classifying […]

The Differences between Classification Systems and Taxonomies

Beyond having a notation or an alphanumeric code associated with each term, how does a classification system differ from a taxonomy? This is a pertinent question as both, classification system and taxonomy, are knowledge organization systems. In addition, in both, the terms are arranged in a hierarchy of multiple levels, without having related-term relationships or […]

Ontology to Eliminate Ambiguity in Smart Grid Communication

The electric grid industry is following in the footsteps of the other industries by incorporating an ontology — the Smart Grid Ontology tool — into its business model. The ontology tool is a result of the collaboration organized by the Smart Electric Power Alliance (SEPA) and its Electric Grid Ontology Task Force. It is expected […]

How to Know When to Use a Hierarchical or a Faceted Taxonomy

A taxonomy is a method of classification. It helps in making content findable irrespective of the means — browsing, searching, asking— employed by users. How is it then possible to know which among the four types — flat, hierarchical, network and faceted — of taxonomy is the most ideal for your enterprise? Specifically, how do […]

Taxonomy of State-Level Opioid Policies is the Need of the Hour

Opioid misuse and addiction affect public health as well as social and economic welfare. In response to this national crisis, various states in the United States have promulgated wide-ranging policies. These policies vary substantially and nominally across states and over time. The variations in the key–components and design details come in the way of identifying […]

Skills and Competencies Taxonomy for Skill Identification and Utilization

The Employment and Social Development Canada (ESDC) has developed a Skills and Competencies Taxonomy. The Taxonomy was developed to complement other federal, provincial, and territorial employment programming efforts around skills identification and utilization, and facilitate a Pan-Canadian dialogue on skills. ESDC developed the Taxonomy keeping two objectives in mind. One is to streamline the terminology […]

Linked Open Data: Methods and the Resources Used by Europe’s Research Libraries

Ligue des Bibliothèques Européennes de Recherche (LIBER) — Association of European Research Libraries is the voice of Europe’s research library community. The Linked Open Data Working Group is one of LIBER’s Working Groups. It produces guidelines, best practices, and tools for opening library data, according to the principles of Linked Open Data (LOD) and with […]

Search Trends to Watch Out for in 2020

Today search in conjunction with Artificial Intelligence (AI) technologies have extended enterprise search capabilities. Consequently, it is expected that there will be more AI-powered search and search-based analytics applications supporting enterprises. In the near future, the number of enterprises employing neural networks, a key technology that assists innovative enterprise AI systems would grow. Neural networks […]

Why Enterprises Need to leverage Taxonomies for maximizing the benefits of Master Data Management Programs

Master Data Management (MDM) programs offer many benefits to enterprises. Primary among them is greater control over reference data and the capability to manage the relations between data entities. However, to translate the benefits from MDM programs into effective business knowledge, there should be an understanding and agreement on the terminologies used inside an enterprise. […]

Making Artificial Intelligence Trustworthy By Putting Humans Back In the Loop

As Artificial Intelligence (AI) becomes increasingly a part of our daily lives, the decisions and predictions, made by AI-enabled systems are becoming profound. However, there is no visibility on how AI-enabled systems arrive at these decisions and predictions. This lack of visibility gives rise to distrust. So, does it follow that if we bring a […]