Results 51 to 60 of about 933,026 (316)
An ontology to standardize research output of nutritional epidemiology : from paper-based standards to linked content [PDF]
, 2019 Background: The use of linked data in the Semantic Web is a promising approach to add value to nutrition research. An ontology, which defines the logical relationships between well-defined taxonomic terms, enables linking and harmonizing research output.
Ambayo, Henry +9 more
core +1 more source
, 2019 Creative thinking has long been associated with spreading of activation through concepts within semantic memory. Despite its theoretical importance, little is yet known about how semantic memory structure facilitates and constrains idea production.
R. Beaty +3 more
semanticscholar +1 more source
Feature Selection for Extracting Semantically Rich Words [PDF]
, 2004 Abstract: "The utility of semantic knowledge, in the form of ontologies, is widely acknowledged. In particular, semantic knowledge facilitates integration, visualization, and maintenance of information from various sources. However, the majority of previous work in this field has tried to learn ontologies for relatively constrained domains.
Young-Woo Seo +2 more
openaire +1 more source
Terminology mining in social media [PDF]
, 2009 The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other user-generated non-editorial texts.
Karlgren, Jussi, Sahlgren, Magnus
core +2 more sources
Remote Sensing, 2022 The traditional fully connected convolutional conditional random field has a proven robust performance in post-processing semantic segmentation of SAR images.
Yingying Kong, Qiupeng Li
doaj +1 more source
Richer Concepts are Better Remembered: Number of Features Effects in Free Recall
Frontiers in Human Neuroscience, 2012 In four experiments, we tested the expectation that concepts associated with more semantic features would be better remembered than concepts associated with fewer semantic features.
Ian Scott Hargreaves +3 more
doaj +1 more source
A semantically rich approach for collaborative model edition [PDF]
Proceedings of the 2011 ACM Symposium on Applied Computing, 2011 We propose a novel approach and tool for collaborative software engineering and development. In model-based software engineering, the underlying data structure is a complex, directed and labeled graph. Collaborative engineering requires that developers be able to copy the graph, make independent changes, compare them, detect conflicts, and merge non ...
Michaux, Jonathan +3 more
openaire +2 more sources
Bilateral network with rich semantic extractor for real-time semantic segmentation
Complex & Intelligent Systems, 2023 AbstractRecently, owing to the requirements of inference speed, most real-time semantic segmentation networks often have shallow network depth, which limits the receptive field size of the model, leading to the limited acquisition of semantic information and resulting in intraclass inconsistency and ultimately a decrease in segmentation accuracy ...
Shan Zhao +3 more
openaire +2 more sources
FROM MULTI-VIEW TO POINT CLOUD SEGMENTATION: THE CASE STUDY OF VILLA ROBERTI BRUGINE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Point cloud semantic segmentation is a key step for automatically deriving an informative building model from the 3D data reconstruction obtained by 3D surveying tools, such as laser scanners and photogrammetry. Such representation increases the richness
A. Masiero +3 more
doaj +1 more source
Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media [PDF]
, 2017 When crises hit, many flog to social media to share or consume information related to the event. Social media posts during crises tend to provide valuable reports on affected people, donation offers, help requests, advice provision, etc.
F Atefeh +5 more
core +1 more source