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

Recent developments in support for constructing knowledge graphs have led toa rapid rise in their creation both on the Web and within organisations. Addedto existing sources of data, including relational databases, APIs, etc., thereis a strong demand for techniques to query these diverse sources of knowledge.While formal query languages, such as SPARQL, exist for querying some knowledgegraphs, users are required to know which knowledge graphs they need to queryand the unique resource identifiers of the resources they need. Althoughalternative techniques in neural information retrieval embed the content ofknowledge graphs in vector spaces, they fail to provide the representation andquery expressivity needed (e.g. inability to handle non-trivial aggregationfunctions such as regression). We believe that a lingua franca, i.e. aformalism, that enables such representational flexibility will increase theability of intelligent automated agents to combine diverse data sources byinference.  Our work proposes a flexible representation (alists) to support intelligentfederated querying of diverse knowledge sources. Our contribution includes (1)a formalism that abstracts the representation of queries from the specificquery language of a knowledge graph; (2) a representation to dynamically curatedata and functions (operations) to perform non-trivial inference over diverseknowledge sources; (3) a demonstration of the expressiveness of alists torepresent the diversity of representational formalisms, including SPARQLqueries, and more generally first-order logic expressions.

ALIST: Associative Logic for Inference, Storage and Transfer. A Lingua Franca for Inference on the Web