LinkingPark: Automatic Semantic Table Interpretation Software [PDF]
LinkingPark is an open-sourced system for automatic semantic table interpretation. Given a table of data, the system can match tabular elements to existing knowledge graphs (in this release, primarily Wikidata).
Carina Negreanu +9 more
core +1 more source
Semantic, Automatic Image Annotation Based On Multi-Layered Active Contours and Decision Trees [PDF]
In this paper, we propose a new approach for automatic image annotation (AIA) in order to automatically and efficiently assign linguistic concepts to visual data such as digital images, based on both numeric and semantic features.
Olszewska, Joanna Isabelle
core +3 more sources
Semantic-based decision support for remote care of dementia patients [PDF]
This paper investigates the challenges in developing a semantic-based Dementia Care Decision Support System based on the non-intrusive monitoring of the patient's behaviour.
Chernbumroong, S +9 more
core +1 more source
A semantic sensor web for environmental decision support applications [PDF]
Sensing devices are increasingly being deployed to monitor the physical world around us. One class of application for which sensor data is pertinent is environmental decision support systems, e.g., flood emergency response.
De Roure, David +77 more
core +1 more source
Utilising semantic technologies for decision support in dementia care [PDF]
The main objective of this work is to discuss our experience in utilising semantic technologies for building decision support in Dementia care systems that are based on the non-intrusive on the non-intrusive monitoring of the patient’s behaviour.
Rmaswamy, S +7 more
core +1 more source
Semantic diversity:A measure of contextual variation in word meaning based on latent semantic analysis [PDF]
Semantic ambiguity is typically measured by summing the number of senses or dictionary definitions that a word has. Such measures are somewhat subjective and may not adequately capture the full extent of variation in word meaning, particularly for ...
Hoffman, Paul; id_orcid +5 more
core +1 more source
Effective image data points extraction via decision tree based on feature classifier
Image data points mining is concerned with the extraction of knowledge relationship among image data and other patterns inherent in the images. Taxonomy-Aware Catalog Integration (TCI) processing step ensures that the master taxonomy Rule-based ...
C. S. Sasireka, R. Santhosh
doaj +1 more source
Extending fuzzy semantic model by advanced decision rules [PDF]
This paper extends FSM, a recently proposed semantic data model that supports fuzziness, imprecision and uncertainty of real-world. More precisely, the paper proposes four new concepts, decisional grouping, inhibition, multiplicity and selection, which ...
Ellouze, L. +7 more
core +1 more source
Lost in semantic space: a multi-modal, non-verbal assessment of feature knowledge in semantic dementia [PDF]
A novel, non-verbal test of semantic feature knowledge is introduced, enabling subordinate knowledge of four important concept attributes—colour, sound, environmental context and motion—to be individually probed.
Garrard, P., Carroll, E.
core +1 more source
The use of Semantic Web technologies for decision support – a survey
The Semantic Web shares many goals with Decision Support Systems (DSS), e.g., being able to precisely interpret information, in order to deliver relevant, reliable and accurate information to a user when and where it is needed.
Blomqvist, Eva,
core +1 more source

