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Book part
Publication date: 15 July 2020

Thomas C. Choinski

The diffusion and adoption (D&A) of innovation propels today's technological landscape. Crisis situations, real or perceived, motivate communities of people to take action…

Abstract

The diffusion and adoption (D&A) of innovation propels today's technological landscape. Crisis situations, real or perceived, motivate communities of people to take action to adopt and diffuse innovation. The D&A of innovation is an inherently human activity; yet, artificially intelligent techniques can assist humans in six different ways, especially when operating in fifth generation ecosystems that are emergent, complex, and adaptive in nature.

Humans can use artificial intelligence (AI) to match solutions to problems, design for diffusion, identify key roles in social networks, reveal unintended consequences, recommend pathways for scaling that include the effects of policy, and identify trends for fast-follower strategies. The stability of the data that artificially intelligent systems rely upon will challenge performance; nevertheless, the research in this area has positioned several promising techniques where classically narrow AI systems can assist humans. As a result, human and machine interaction can accelerate the D&A of technological innovation to respond to crisis situations.

Content available
Book part
Publication date: 15 July 2020

Abstract

Details

Artificial Intelligence and Global Security
Type: Book
ISBN: 978-1-78973-812-4

Article
Publication date: 13 November 2007

Anna Marie Johnson, Sarah Jent and Latisha Reynolds

The purpose of this paper is to provide a selected bibliography of recent resources on library instruction and information literacy.

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Abstract

Purpose

The purpose of this paper is to provide a selected bibliography of recent resources on library instruction and information literacy.

Design/methodology/approach

The paper introduces and annotates periodical articles, monographs, and exhibition catalogues examining library instruction and information literacy.

Findings

The paper provides information about each source, discusses the characteristics of current scholarship, and describes sources that contain unique scholarly contributions and quality reproductions.

Originality/value

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

Details

Reference Services Review, vol. 35 no. 4
Type: Research Article
ISSN: 0090-7324

Keywords

Article
Publication date: 1 December 2004

Anna Marie Johnson and Sarah Jent

This article presents an annotated bibliography of literature recently published on the topic of library instruction and information literacy in academic, school, public…

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Abstract

This article presents an annotated bibliography of literature recently published on the topic of library instruction and information literacy in academic, school, public, special, and all types of libraries. Collaboration was a strong theme, especially among academic and school libraries. Other themes discussed in the articles include the globalism of information literacy, assessment, the use of course management systems, and the use and value of online tutorials.

Details

Reference Services Review, vol. 32 no. 4
Type: Research Article
ISSN: 0090-7324

Keywords

Article
Publication date: 19 September 2019

Valeria Abreu, Edward Barker, Hannah Dickson, Francois Husson, Sandra Flynn and Jennifer Shaw

The purpose of this paper is to identify offender typologies based on aspects of the offenders’ psychopathology and their associations with crime scene behaviours using…

Abstract

Purpose

The purpose of this paper is to identify offender typologies based on aspects of the offenders’ psychopathology and their associations with crime scene behaviours using data derived from the National Confidential Enquiry into Suicide and Safety in Mental Health concerning homicides in England and Wales committed by offenders in contact with mental health services in the year preceding the offence (n=759).

Design/methodology/approach

The authors used multiple correspondence analysis to investigate the interrelationships between the variables and hierarchical agglomerative clustering to identify offender typologies. Variables describing: the offenders’ mental health histories; the offenders’ mental state at the time of offence; characteristics useful for police investigations; and patterns of crime scene behaviours were included.

Findings

Results showed differences in the offenders’ histories in relation to their crime scene behaviours. Further, analyses revealed three homicide typologies: externalising, psychosis and depression.

Practical implications

These typologies may assist the police during homicide investigations by: furthering their understanding of the crime or likely suspect; offering insights into crime patterns; provide advice as to what an offender’s offence behaviour might signify about his/her mental health background. Findings suggest information concerning offender psychopathology may be useful for offender profiling purposes in cases of homicide offenders with schizophrenia, depression and comorbid diagnosis of personality disorder and alcohol/drug dependence.

Originality/value

Empirical studies with an emphasis on offender profiling have almost exclusively focussed on the inference of offender demographic characteristics. This study provides a first step in the exploration of offender psychopathology and its integration to the multivariate analysis of offence information for the purposes of investigative profiling of homicide by identifying the dominant patterns of mental illness within homicidal behaviour.

Details

Journal of Criminological Research, Policy and Practice, vol. 5 no. 3
Type: Research Article
ISSN: 2056-3841

Keywords

Article
Publication date: 16 September 2021

Prashant Kumar Sinha, Sagar Bhimrao Gajbe, Sourav Debnath, Subhranshubhusan Sahoo, Kanu Chakraborty and Shiva Shankar Mahato

This work provides a generic review of the existing data mining ontologies (DMOs) and also provides a base platform for ontology developers and researchers for gauging the…

Abstract

Purpose

This work provides a generic review of the existing data mining ontologies (DMOs) and also provides a base platform for ontology developers and researchers for gauging the ontologies for satisfactory coverage and usage.

Design/methodology/approach

The study uses a systematic literature review approach to identify 35 DMOs in the domain between the years 2003 and 2021. Various parameters, like purpose, design methodology, operations used, language representation, etc. are available in the literature to review ontologies. Accompanying the existing parameters, a few parameters, like semantic reasoner used, knowledge representation formalism was added and a list of 20 parameters was prepared. It was then segregated into two groups as generic parameters and core parameters to review DMOs.

Findings

It was observed that among the 35 papers under the study, 26 papers were published between the years 2006 and 2016. Larisa Soldatova, Saso Dzeroski and Pance Panov were the most productive authors of these DMO-related publications. The ontological review indicated that most of the DMOs were domain and task ontologies. Majority of ontologies were formal, modular and represented using web ontology language (OWL). The data revealed that Ontology development 101, METHONTOLOGY was the preferred design methodology, and application-based approaches were preferred for evaluation. It was also observed that around eight ontologies were accessible, and among them, three were available in ontology libraries as well. The most reused ontologies were OntoDM, BFO, OBO-RO, OBI, IAO, OntoDT, SWO and DMOP. The most preferred ontology editor was Protégé, whereas the most used semantic reasoner was Pellet. Even ontology metrics for 16 DMOs were also available.

Originality/value

This paper carries out a basic level review of DMOs employing a parametric approach, which makes this study the first of a kind for the review of DMOs.

Details

Data Technologies and Applications, vol. 56 no. 2
Type: Research Article
ISSN: 2514-9288

Keywords

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