YOUR GO-TO INTELLIGENCE RESOURCE FOR THE SCHOLARLY PUBLISHING INDUSTRY

Ontology-Based Knowledge Models to Build a Common Understanding of the Entities in the Space Domain

Managing and integrating exponentially growing space data is important for developing the space situational awareness needed for command and control missions. That is why a well-formed knowledge model based on open-standard ontology could serve as the cornerstone of effective space situational awareness while contributing to all-domain command and control.

A Case for Decentralized Construct Taxonomies

The constructs used for studying human psychology has many definitions. Also, there are corresponding instructions for obtaining and coding qualitative data for measuring the constructs. So, how can researchers communicate which definition(s) and guideline(s) are being followed during the empirical and secondary research.

How Ontologies are Enhancing Predictive Cognitive Computing Models

Standardized models or ontologies play a significant role in predictive cognitive computing models, which are characterized by machine learning and deep learning applications. These conventional data models help align datasets in specific settings such as the production environment for deploying cognitive predictive models. Consequently, ontologies are one of the most expressive ways of describing predictive model objectives, business objectives, and the feedback loop inherent in machine learning technologies, and the data requirements for these objectives.

Utilizing Linked Open Data to Facilitate Communication and Dissemination of Data

The Central Statistics Office (CSO) is leading a digital transformation project, referred to as the Linked Open Statistics (LOS) project. It forms part of a wider European Statistical System (ESS) project for digital communication, user analytics, and innovative products (DIGICOM). The LOS project aims to use Linked Open Data (LOD) to facilitate communication and dissemination of European statistical data.

The European Business Knowledge Graph for Innovative Data-Driven Products and Services

Collecting and aggregating corporate information from public and private sources, especially across borders and languages, is a tedious and very expensive task rendering many potential business models non-feasible. The onerousness of the task can be ascribed to the lack of a universal mark-up schema to annotate digital references to a company.

How the Open Research Knowledge Graph Can Help Organize COVID-19 Research

The COVID-19 crisis is driving substantial research. Consequently, many articles pertaining to research being conducted on COVID-19 have already been published. Among them, quite a few publish COVID-19 R0 estimates. However, as the estimates are scattered across literature, it is imperative to organize R0 information, their value, confidence intervals, study location, and time frame. A way to overcome the challenge of organizing the R0 estimates is by leveraging the Open Research Knowledge Graph (ORKG).

How BBC Online Intends to Drive Content Discovery

The BBC’s online portfolio is over 20 years old and consists of a rich and varied collection of websites and services. One of the challenges faced by BBC as it rebuilds its digital portfolio with a new content strategy is how to make more content discoverable and personalize the content for more audiences. Therefore, the […]

Discovery Services with a More Equitable Search

The fact is discovery search engines have not evolved with the digital nature of academic resources. In addition, the way the user constructs the words and methods they use to do their research have changed. Besides, the user’s background and language are now driving the evolution of discovery services. The result is a search experience […]

Dispelling Misinformation about Property Graphs versus Semantic/Resource Description Framework Graphs

There is an impression, that Labeled Property Graphs (LPGs) is more natural and efficient than Semantic Resource Description Framework (RDF) graphs. However, RDF graphs can be just as natural and efficient as LPGs. By leveraging the RDF concept of NamedGraphs, it is just as easy to model adding properties to an RDF graph as in […]

On the anvil — a Peer Review Taxonomy and a European Materials & Modeling Ontology

Two major associations are in the process of standardizing definitions and creating a representational framework for their industries. The International Association of STM Publishers (STM), the leading global trade association for academic and professional publishers, has set-up a working group to identify and standardize definitions and terminology in open peer review practices. Similarly, the non-profit […]