How a machine can understand the command intent

With recent technological advances, commanders request the support of artificial intelligence (AI)-enabled systems during mission planning. Future AI systems may test a wide range of courses of action (COAs) and use a simulator to test each COA’s effectiveness in a war game. The COA’s effectiveness is however dependent on the commanders’ intent....

Automated Network Assembly of Mechanistic Literature for Informed Evidence Identification to Support Cancer Risk Assessment

BACKGROUND: Mechanistic data is increasingly used in hazard identification of chemicals. However, the volume of data is large, challenging the efficient identification and clustering of relevant data. OBJECTIVES: We investigated whether evidence identification for hazard assessment can become more efficient and informed through an automated...

Using a conversational agent for thought recording as a cognitive therapy task: Feasibility, content, and feedback

E-mental health for depression is increasingly used in clinical practice, but patient adherence suffers as therapist involvement decreases. One reason may be the low responsiveness of existing programs: especially autonomous systems are lacking in their input interpretation and feedback-giving capabilities. Here, we explore (a) to what extent a...

Data-driven Update of AGROVOC Using Agricultural Text Corpora

AGROVOC is a well-known multilingual controlled vocabulary covering the fields of agriculture, forestry, fisheries, and food. It is used for dataset annotation, indexing of literature, and automated text tagging, and its effective use depends on its continuous update. Currently, updates are done manually by a dispersed community of editors. In...

Natural language processing for cognitive therapy: Extracting schemas from thought records

The cognitive approach to psychotherapy aims to change patients' maladaptive schemas, that is, overly negative views on themselves, the world, or the future. To obtain awareness of these views, they record their thought processes in situations that caused pathogenic emotional responses. The schemas underlying such thought records have, thus far,...

Verification of Safety Rules using NLP

A key step in the design of digitally enabled safety systems is the development of an Enterprise Architecture model (EA). The design of EA models tends to be a complex job that is usually performed by IT specialists that are not trained in safety. Very often, these EA models contain safety rules that are not well understood by IT specialists but...

Perspective: Towards Automated Tracking of Content and Evidence Appraisal of Nutrition Research

Robust recommendations for healthy diets and nutrition require careful synthesis of available evidence. Given the increasing volume of research articles generated, the retrieval and synthesis of evidence are increasingly becoming laborious and time-consuming. Information technology could help to reduce workload for humans. To guide supervised...

The semantic snake charmer search engine: A tool to facilitate data science in high-tech industry domains

The booming popularity of data science is also affecting high-tech industries. However, since these usually have different core competencies - building cyber-physical systems rather than e.g. machine learning or data mining algorithms - delving into data science by domain experts such as system engineers or architects might be more cumbersome...

The Semantic Snake Charmer Search Engine: A Tool to Facilitate Data Science in High-tech Industry Domains

The booming popularity of data science is also affecting high-tech industries. However, since these usually have different core competencies — building cyber-physical systems rather than e.g. machine learning or data mining algorithms — delving into data science by domain experts such as system engineers or architects might be more cumbersome...

Improving service matching and selection in ubiquitous computingenvironments: A user study

In large ubiquitous computing environments it is hard for users to identify and activate the electronic services that match their needs. This user study compares the newly developed service matcher system with a conventional system for identifying and selecting appropriate services. The study addresses human factors issues such as usability,...

Human-agent service matching using natural language queries: System test and training

Smart environments, ambient intelligence and intelligent agents leave the user lost between large amounts of services. Ad-hoc networks, mobile agents and mobile devices make the set of available services dynamic over time and space, increasing the user’s problems to find the service he needs. Earlier, we presented a ServiceMatcher that can find...