Hybrid Refining Approach of PrOnto Ontology

Palmirani, Monica; Bincoletto, Giorgia; Leone, Valentina; Sapienza, Salvatore; Sovrano, Francesco

doi:10.1007/978-3-030-58957-8_1

Cited by 6 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some approaches use such classifications to divide sentences, expressions, paragraphs, and texts, and producing categories that are used in specific applications [60,61]. Additionally, other applications use these characteristics in a reverse way, for instance, to build sentences, paragraphs, or concatenate textual expressions from the same or different sources for generating new expressions; this is being applied in Human Machine Interfaces (HMI) [16].…”

Section: Structure Of the Sentences And The Textmentioning

confidence: 99%

An Abstract System for Converting and Recovering Texts like Structured Information

Verdesoto¹,

Herrera²,

Ortiz

2021

Preprint

View full text Add to dashboard Cite

This paper introduces an abstract system for converting texts into structured information. The proposed architecture incorporates several strategies based on scientific models of how the brain records and recovers memories, and approaches that convert texts into structured data. The applications of this proposal are vast because, in general, the information that can be expressed like a text way, such as reports, emails, web contents, etc., is considered unstructured and, hence, the repositories based on a SQL do not capable to deal efficiently with this kind of data. The model in which was based on this proposal divides a sentence into clusters of words which in turn are transformed into members of a taxonomy of algebraic structures. The algebraic structures must comply properties of Abelian groups. Methodologically, an incremental prototyping approach has been applied to develop a satisfactory architecture that can be adapted to any language. A special case is studied, this deals with the Spanish language. The developed abstract system is a framework that permits to implements applications that convert unstructured textual information to structured information, this can be useful in contexts such as Natural Language Generation, Data Mining, dynamically generation of theories, among others.

show abstract

Section: Structure Of the Sentences And The Textmentioning

confidence: 99%

An Abstract System for Converting and Recovering Texts like Structured Information

Verdesoto¹,

Herrera²,

Ortiz

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The SPECIAL 4 project [3] focused on the development of machine-readable policy languages and the DPV was proposed in the context of this project. The MIREL 5 project included the PrOnto ontology among its outcomes, proposing a technique based on Open Information Extraction to map the information extracted from privacy policies on the classes modelled by the ontology [14].…”

Section: Related Workmentioning

confidence: 99%

The Role of Vocabulary Mediation to Discover and Represent Relevant Information in Privacy Policies

Leone

2020

Frontiers in Artificial Intelligence and Applications

Self Cite

View full text Add to dashboard Cite

To date, the effort made by existing vocabularies to provide a shared representation of the data protection domain is not fully exploited. Different natural language processing (NLP) techniques have been applied to the text of privacy policies without, however, taking advantage of existing vocabularies to provide those documents with a shared semantic superstructure. In this paper we show how a recently released domain-specific vocabulary, i.e. the Data Privacy Vocabulary (DPV), can be used to discover, in privacy policies, the information that is relevant with respect to the concepts modelled in the vocabulary itself. We also provide a machine-readable representation of this information to bridge the unstructured textual information to the formal taxonomy modelled in it. This is the first approach to the automatic processing of privacy policies that relies on the DPV, fuelling further investigation on the applicability of existing semantic resources to promote the reuse of information and the interoperability between systems in the data protection domain.

show abstract

Introduction: A Hybrid Regulatory Framework and Technical Architecture for a Human-Centered and Explainable AI

Rodrı́guez-Doncel

Palmirani

Araszkiewicz

et al. 2021

AI Approaches to the Complexity of Legal Systems XI-XII

View full text Add to dashboard Cite

Hybrid Refining Approach of PrOnto Ontology

Cited by 6 publications

References 21 publications

An Abstract System for Converting and Recovering Texts like Structured Information

An Abstract System for Converting and Recovering Texts like Structured Information

The Role of Vocabulary Mediation to Discover and Represent Relevant Information in Privacy Policies

Introduction: A Hybrid Regulatory Framework and Technical Architecture for a Human-Centered and Explainable AI

Contact Info

Product

Resources

About