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I love to read and learn new things! In this process, I also love to share the things I learnt with others. I hope you will enjoy reading my posts as much as I enjoy writing them. Do not forget to like, comment and share them with your friends. Your feedback and engagement will definitely keep me motivated to write new content. If you like to see my posts on specific topics that have not been written yet, suggest me in the comments section.


Confusion Matrix

The performance metrics used to compare classification performance are typically represented using elements in the confusion matrix, which is generated by the machine learning model on a test sample. Figure 1 denotes the template of a confusion matrix for a two-class classification problem, where the class of an instance isContinue reading “Confusion Matrix”

Introduction to DBpedia

Semantic Web Semantic Web enables machines to browse the knowledge distributed across the Web. Consider a Wikipedia page that provides knowledge to human readers. The knowledge contained in the Wikipedia page is opaque from the perspective of the machines, as they “see” nothing but a presentation markup of the WikipediaContinue reading “Introduction to DBpedia”

Why Literature-Based Discovery?

The scientific literature is growing at an unprecedented rate and it is estimated that the global scientific output doubles every nine years. To date, scientific digital libraries consist of millions of research publications, with thousands of these being added every day. For instance, consider MEDLINE (https://www.nlm.nih.gov/bsd/medline.html), a popular bibliographical database.Continue reading “Why Literature-Based Discovery?”


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