YOUR GO-TO INTELLIGENCE RESOURCE FOR THE SCHOLARLY PUBLISHING INDUSTRY

How data analytics revealed new insights in Ryan report on child abuse

The latest discipline to benefit from big data analysis is the emerging field of digital humanities. Digital humanities bring artificial intelligence (AI) and text analytics to traditional arts and humanities scholarship. An interesting article in The Irish Times revealed how AI and text analytics approaches were applied to humanities to probe texts running to thousands […]

Dataset Search—making it easier to discover datasets

Thousands of data repositories available on the web provide access to millions of datasets. Similarly, local and national governments around the world are also publishing their data. To enable scientists and journalists access this data, Google has launched the Dataset Search. According to Natasha Noy, research scientist at Google AI, this product would help anyone […]

Training machine learning to improve enterprise search

What users expect from search has evolved. In fact, you can demarcate the evolution as B. G. and A. G.—before Google and after Google. Before Google, users were happy with the results that had a semblance of relevance. After its advent, users expect “psychic search” even from enterprise search engines. Psychic search is a type […]

How AI-based search tools help scientists conduct systematic literature review?

Today, when scientists attempt to conduct a systematic literature review, the number of papers on a topic overwhelms them. However, there is a bevy of new AI-based search tools offering targeted navigation of the knowledge landscape. In fact, developers are looking to leverage these tools to automate how hypotheses are generated and validated, writes Andy […]

Ensuring that taxonomies grow holistically

Taxonomies and the businesses they serve are constantly evolving and flourishing alongside each other. Similarly, users along with the processes they work with and the content they create and consume are ever evolving. Therefore, it is important to keep the entire vocabulary in mind when adding new terms or making changes to the existing terms. […]

Implementing federated search in a multi-site environment

Creating a complex federated search service in a multi-site environment is not a simple project. Nevertheless, businesses that have successfully implemented it have reaped the anticipated benefits, observes Scott Solomon, Content Marketing Manager at eZ Systems. In its basic avatar, federated search is about scanning several sites at the same time and aggregating the results […]

Enriching scholarly resources by connecting a reading and annotation software “neonion” to Wikidata

In Assisting in semantic enrichment of scholarly resources by connecting neonion and Wikidata, researcher Jakob Höper supervised by Prof. Dr. Claudia Müller-Birn from Freie Universität Berlin discusses ways of semantically enriching research resources. He suggests that generating semantic annotations in text documents using the scholarly reading and annotation software neonion can enable scholars to semantically […]

Is text no longer enough for text analytics?

In recent times, text analytics is proving insufficient to get a complete perspective about brands or products discussed on social media and other online locations. According to Michalis Michael, CEO, DigitalMR, importantly, images or videos that come with the text should also be taken into account to get the complete story. Increasingly, we see posts […]

A semantic cache approach to object classification

The need for real-time insights into video streams is driving the use of artificial intelligence (AI) techniques such as deep neural networks for classification, object detection and extraction, and anomaly detection. Srikumar Venugopal, research scientist and a member of the High-Performance Systems group in IBM Research, Ireland, and his team performed an experimental evaluation of […]

TF-IDF algorithms and eCommerce search

In information retrieval systems, algorithms that rely on probability and statistical measures decide documents that are relevant for a given search term and for an appropriate ranking of the documents. One of these statistical measures is TF-IDF—Term Frequency (TF) and Inverse Document Frequency (IDF). According to David Argüello Sánchez, editor of EmpathyBroker, TF-IDF is a […]