English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We propose Cognitive Databases, an approach for transparently enablingArtificial Intelligence (AI) capabilities in relational databases. A novelaspect of our design is to first view the structured data source as meaningfulunstructured text, and then use the text to build an unsupervised neuralnetwork model using a Natural Language Processing (NLP) technique called wordembedding. This model captures the hidden inter-/intra-column relationshipsbetween database tokens of different types. For each database token, the modelincludes a vector that encodes contextual semantic relationships. We seamlesslyintegrate the word embedding model into existing SQL query infrastructure anduse it to enable a new class of SQL-based analytics queries called cognitiveintelligence (CI) queries. CI queries use the model vectors to enable complexqueries such as semantic matching, inductive reasoning queries such asanalogies, predictive queries using entities not present in a database, and,more generally, using knowledge from external sources. We demonstrate uniquecapabilities of Cognitive Databases using an Apache Spark based prototype toexecute inductive reasoning CI queries over a multi-modal database containingtext and images. We believe our first-of-a-kind system exemplifies using AIfunctionality to endow relational databases with capabilities that werepreviously very hard to realize in practice.

Cognitive Database: A Step towards Endowing Relational Databases with Artificial Intelligence Capabilities