Ontologías

WN-Affect Ontology

WN-Affect Ontology
  • Research areas IR and Sentiment Analysis
  • Authors J. Fernando Sánchez-Rada
  • Description WordNet-Affect is an extension of WordNet Domains. It includes a subset of synsets suitable for representing concepts of affection related to a word. The SKOS taxonomy offers the WordNet-Affect categories in a semantic representation following the SKOS standard.

Onyx Ontology

Onyx Ontology
  • Research areas IR and Sentiment Analysis
  • Authors J. Fernando Sánchez-Rada
  • Description Onyx is a staged data schema (also known as an "ontology" or "vocabulary") designer to annotate and describe the emotions expressed in user-generated content on the web or in information systems. This document describes the ontology and instructions for linking it to other resources.

Ontology Scraping

Ontology Scraping
  • Research areas Linked Data and Semantic Technologies
  • Authors José I. Fernández-Villamor, Carlos A. Iglesias, Mercedes Garijo
  • Description Semantic extraction of web resources (semantic scraping) is the process in which a correspondence between web data and semantic web resources is established. We define an RDF model that allows us to formalize this correspondence called the Scraping Ontology. The proposed vocabulary serves as a link between the HTML document and the RDF data. With this RDF model, it is possible to construct an RDF clip from the HTML DOM tree of an HTML document, and to provide semantics to the synthesizers.

Ontology Limon

Ontology Limon
  • Research areas Linked Data and Semantic Technologies
  • Authors José I. Fernández-Villamor
  • Description The Linked Mashup ontology integrates properties and comapos that are available in component repositories on the web. Its name comes from the approach of bringing the movement of the Web of Data to the development oriented to mashups. It allows you to describe mashups and their components to integrate and share information about mashups, such as their classification or dependencies. This document contains the description of the ontology.

Ontology EWE

Ontology EWE
  • Research areas Big Data and Machine Learning
  • Authors Miguel Coronado
  • Description The Evolved Web Ontology (EWE) is a standardized data schema (also known as an "ontology" or "vocabulary") designed to describe the elements within Task Automation Services that enable service interoperability Of automation. This document contains the description of the ontology and instructions on how to connect with descriptions of other resources.

Marl Ontology

Marl Ontology
  • Research areas IR and Sentiment Analysis
  • Authors Adam Westerski, J. Fernando Sánchez-Rada
  • Description Marl is a standardized data schema (also known as "ontology" or "vocabulary") designed to annotate and describe subjective opinions expressed on the Web or in Information Systems. This document contains the description of the ontology and the instructions to connect it with the descriptions of other resources.

GI2MO Ontology

GI2MO Ontology
  • Research areas Big Data and Machine Learning
  • Authors Adam Westerski
  • Description Generic Idea and Innovation Management Ontology (Gi2MO) is a standardised data schema (also referred as "ontology" or "vocabulary") designed to annotate and describe resources gathered inside Idea Management facilities. The following document contains the description of ontology and instructions how to connect it with descriptions of other resources.