Semantic Web Regulatory Models: Why Ethics Matter

Casanovas, Pompeu

doi:10.1007/s13347-014-0170-y

Cited by 17 publications

(7 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ontologies are formally defined as “(meta)data schemas, providing a controlled vocabulary of concepts, each with an explicitly defined and machine processable semantics” (Maedche and Staab 2001 ). They play a crucial role in designing Semantic Web Regulatory Models (SWRM), which encode norms, rules and ethical principles into machine-readable regulation, which can then be applied across different organizations and countries (Casanovas 2015 ). However, ontology regulation is only partly addressed when it comes to OSINT.…”

Section: The Gelsi Of Osint At the Micro-levelmentioning

confidence: 99%

Open source intelligence and AI: a systematic review of the GELSI literature

2023

View full text Add to dashboard Cite

Today, open source intelligence (OSINT), i.e., information derived from publicly available sources, makes up between 80 and 90 percent of all intelligence activities carried out by Law Enforcement Agencies (LEAs) and intelligence services in the West. Developments in data mining, machine learning, visual forensics and, most importantly, the growing computing power available for commercial use, have enabled OSINT practitioners to speed up, and sometimes even automate, intelligence collection and analysis, obtaining more accurate results more quickly. As the infosphere expands to accommodate ever-increasing online presence, so does the pool of actionable OSINT. These developments raise important concerns in terms of governance, ethical, legal, and social implications (GELSI). New and crucial oversight concerns emerge alongside standard privacy concerns, as some of the more advanced data analysis tools require little to no supervision. This article offers a systematic review of the relevant literature. It analyzes 571 publications to assess the current state of the literature on the use of AI-powered OSINT (and the development of OSINT software) as it relates to the GELSI framework, highlighting potential gaps and suggesting new research directions.

show abstract

Section: The Gelsi Of Osint At the Micro-levelmentioning

confidence: 99%

Open source intelligence and AI: a systematic review of the GELSI literature

2023

View full text Add to dashboard Cite

show abstract

“…When it comes to intelligent software agents, Casanovas [19] argues that there is a need for both normative and institutional regulatory models in order to not only reason over legal norms, but also judicial and political decision making, best practices, ethical principles and values. Oren et al [74] focus specifically on good behaviour when it comes to crawling data, stating it is important to respect the robot.txt access restrictions and to be mindful of the resource limitations of the data provider.…”

Section: Ethicsmentioning

confidence: 99%

“…The Resource Description Framework (RDF) 18 is a general purpose language that could be used to represent information in a machine interpretable format. The PRR specification describes a metamodel for encoding production rules using the Extensible Markup Language (XML) Metadata Interchange 19 , which is abstract in nature. XML is the native encoding for RuleML, however a JavaScript Object Notation (JSON) serialisation is also provided.…”

Section: Statementioning

confidence: 99%

Intelligent Software Web Agents: A Gap Analysis

Kirrane

2021

Preprint

View full text Add to dashboard Cite

Semantic web technologies have shown their effectiveness, especially when it comes to knowledge representation, reasoning, and data integrations. However, the original semantic web vision, whereby machine readable web data could be automatically actioned upon by intelligent software web agents, has yet to be realised. In order to better understand the existing technological challenges and opportunities, in this paper we examine the status quo in terms of intelligent software web agents, guided by research with respect to requirements and architectural components, coming from that agents community. We start by collating and summarising requirements and core architectural components relating to intelligent software agent. Following on from this, we use the identified requirements to both further elaborate on the semantic web agent motivating use case scenario, and to summarise different perspectives on the requirements when it comes to semantic web agent literature. Finally, we propose a hybrid semantic web agent architecture, discuss the role played by existing semantic web standards, and point to existing work in the broader semantic web community any beyond that could help us to make the semantic web agent vision a reality.

show abstract

“…For instance, since 2009, the US Government has started 20 a process for creating and releasing governance data so as to enable public access to datasets generated by the executive branch of the federal government 21 (195,033 datasets as of February 26, 2016) [60].…”

Section: Semantic Web and Public Administration: The Open Government mentioning

confidence: 99%

“…At stake are rule [29,50,85] and legal compliance (by design) [28], trust [5], and the specification of standards (such as fairness or transparency). This is leading to new approaches to ethics [37] and law [81], and new research on the stages and forms of the rule of law for the Web of Data [21,22]. Consider, too, that consensus and disagreement are equally present both on the Web and in the actual lawmaking processes.…”

Section: The Web Of Data and The Law: A Step Forwardmentioning

confidence: 99%

Semantic Web for the Legal Domain: The next step

Casanovas

Palmirani

Peroni

et al. 2016

Self Cite

View full text Add to dashboard Cite

Abstract. Ontology-driven systems with reasoning capabilities in the legal field are now better understood. Legal concepts are not discrete, but make up a dynamic continuum between common sense terms, specific technical use, and professional knowledge, in an evolving institutional reality. Thus, the tension between a plural understanding of regulations and a more general understanding of law is bringing into view a new landscape in which general legal frameworks -grounded in well-known legal theories stemming from 20th-century c. legal positivism or sociological jurisprudence -are made compatible with specific forms of rights management on the Web. In this sense, Semantic Web tools are not only being designed for information retrieval, classification, clustering, and knowledge management. They can also be understood as regulatory tools, i.e. as components of the contemporary legal architecture, to be used by multiple stakeholders -front-line practitioners, policymakers, legal drafters, companies, market agents, and citizens. That is the issue broadly addressed in this Special Issue on the Semantic Web for the Legal Domain, overviewing the work carried out over the last fifteen years, and seeking to foster new research in this field, beyond the state of the art.

show abstract

Semantic Web Regulatory Models: Why Ethics Matter

Cited by 17 publications

References 48 publications

Open source intelligence and AI: a systematic review of the GELSI literature

Open source intelligence and AI: a systematic review of the GELSI literature

Intelligent Software Web Agents: A Gap Analysis

Semantic Web for the Legal Domain: The next step

Contact Info

Product

Resources

About

Semantic Web Regulatory Models: Why Ethics Matter

Cited by 17 publications

References 48 publications

Open source intelligence and AI: a systematic review of the GELSI literature﻿

Open source intelligence and AI: a systematic review of the GELSI literature﻿

Intelligent Software Web Agents: A Gap Analysis

Semantic Web for the Legal Domain: The next step

Contact Info

Product

Resources

About

Open source intelligence and AI: a systematic review of the GELSI literature

Open source intelligence and AI: a systematic review of the GELSI literature