We present a new ontology language Pini and the PiniTree ontology editor supporting it. Despite Pini language bearing lot of similarities with RDF, UML class diagrams, Property Graphs and their frontends like Google Knowledge Graph and Protégé, it ...

Requirements are critical components in the industry, describing qualities that a product or a service needs to have. Most requirements are only available as natural language text embedded in a document. Working with textual requirements is ...

Texts referencing court decisions and statutes can be difficult to understand without context. It can be time consuming and expensive to find related statutes or to learn about context specific terminology. As a solution, we utilized a named ...

We shall demonstrate ${\mathtt{LODsyndesis}}_{\mathit{IE}}$, which is a research prototype that offers Entity Extraction from text and Entity Enrichment for the extracted entities, using several Linked Datasets. ${\mathtt{LODsyndesis}}_{\mathit{IE}}$ exploits widely used Named Entity Extraction ...${\mathtt{}}_{\mathit{}}$

The Semantic Web community has produced a large body of literature that is becoming increasingly difficult to manage, browse, and use. Recent work on attention-based, sequence-to-sequence Transformer neural architecture has produced language ...

Motivated by the need of annotated data for training named entity recognition models, in this work we present our experiments on a distantly supervised approach using domain specific vocabularies and raw texts in the same domain. In the ...

In this paper, we present cqp4rdf, a set of tools for creating and querying corpora with linguistic annotations. cqp4rdf builds on CQP, an established corpus query language widely used in the areas of computational lexicography and empirical ...