scholarly journals Dual Content Semantics, privative adjectives, and dynamic compositionality

2015 ◽  
Vol 8 ◽  
Author(s):  
Guillermo Del Pinal
Keyword(s):  
Content Semantics

Shedding the content: semantics of teaching burdened by didactic formalisms

2018 ◽  
Vol 51 (2) ◽  
pp. 185-201 ◽  
Author(s):  
Tomáš Janík ◽  
Jan Slavík ◽  
Petr Najvar ◽  
Marcela Janíková
Keyword(s):  
Content Semantics

scholarly journals H.761 Support of a New concept Element and a New "recognition" Node-Event to Enable Deep Learning-based Analyses for Media-Nodes

2019 ◽  
Author(s):  
Antônio Busson ◽  
Alan L. V. Guedes ◽  
Sergio Colcher
Keyword(s):  
Deep Learning ◽  
Visual Features ◽  
Learning Methods ◽  
Field Methods ◽  
Visual Tasks ◽  
Presentation Time ◽  
The Media ◽  
Image Pixels ◽  
Specific Concept ◽  
Content Semantics

Machine Learning field, methods based on Deep Learning (e.g. CNN, RNN) becomes the state-of-the-art in several problems of the multimedia domain, especially in audio-visual tasks. Typically, the training of Deep Learning Methods is done in a supervised manner, and it is trained on datasets containing thousands/millions of media examples and several related concepts/classes. During training, the Deep Learning Methods learn a hierarchy of filters that are applied to input data to classify/recognize the media content. In computer vision scenario, for example, given image pixels, the series of layers of the network can learn to extract visual features from it, the shallow layers can extract lower-level features (e.g. edges, corner, contours), while the deeper combine these features to produce higher-level features (e.g. textures, part of objects). These representative features can be clustered into groups, each one representing a specific concept. H.761 NCL currently lacks support for Deep Learning Methods inside their application specification. Because those languages still focus on presentations tasks such as capture, streaming, and presentation. They do not consider programmers to describe the semantic understanding of the used media and handle recognition of such under-standing. In this proposal, we aim at extending NCL to provide such support. More precisely, our proposal able NCL application support: (1) describe learning-based on structured multimedia datasets; (2) recognize content semantics of the media elements in presentation time. To achieve such goals, we propose, an extension that includes: (a) the new "knowledge" element describe concepts based on multimedia datasets; (b) "area" anchor with an associated "recognition" event that describes when a concept occurrences in multimedia content.

A Methodology for Enhancing Mobile Learning Through Content Semantics

2013 ◽  
Vol 5 (1) ◽  
pp. 21-38
Author(s):  
Glaroudis Dimitrios ◽  
Manitsaris Athanasios ◽  
Kotini Isabella
Keyword(s):  
Mobile Learning ◽  
Web Sites ◽  
Mobile Users ◽  
Learning Material ◽  
Learning Tools ◽  
Learning Content ◽  
Increasing Demand ◽  
Web Experience ◽  
Educational Portal ◽  
Content Semantics

Mobile learning is becoming increasingly popular. Educational web sites can be used as supporting learning tools for students who wish to supplement their knowledge without restrictions of time and place. The continuously increasing demand for enhanced remote and mobile services, as well as the difficulty in easily incorporating current learning services for mobile users, renders essential the adaptation of educational material for these requirements. The objective of this work is to present and evaluate a methodology for producing content semantics from learning material. The proposed approach results in recommending links, which are relevant to the mobile users’ interests, by exploiting the recorded usage of an educational portal and the semantics of the learning content. The implementation results reveal enhanced capabilities in mobile learners’ web experience and usability.

Management of Multimedia Semantics Using MPEG-7

2011 ◽  
pp. 182-192
Author(s):  
Uma Srinivasan ◽  
Ajay Divakaran
Keyword(s):  
Multimedia Applications ◽  
Point Of View ◽  
Multimedia Content ◽  
Content Description ◽  
Multimedia Semantics ◽  
Pros And Cons ◽  
Content Semantics

This chapter presents the ISO/IEC MPEG-7 Multimedia Content description Interface Standard from the point of view of managing semantics in the context of multimedia applications. We describe the organisation and structure of the MPEG-7 Multimedia Description schemes which are metadata structures for describing and annotating multimedia content at several levels of granularity and abstraction. As we look at MPEG-7 semantic descriptions, we realise they provide a rich framework for static descriptions of content semantics. As content semantics evolves with interaction, the human user will have to compensate for the absence of detailed semantics that cannot be specified in advance. We explore the practical aspects of using these descriptions in the context of different applications and present some pros and cons from the point of view of managing multimedia semantics.

Earth-Observation Image Retrieval Based on Content, Semantics, and Metadata

2013 ◽  
Vol 51 (11) ◽  
pp. 5145-5159 ◽  
Author(s):  
Daniela Espinoza-Molina ◽  
Mihai Datcu
Keyword(s):  
Image Retrieval ◽  
Earth Observation ◽  
Content Semantics

An Event-related Neuroimaging Study Distinguishing Form and Content in Sentence Processing

2000 ◽  
Vol 12 (1) ◽  
pp. 120-133 ◽  
Author(s):  
W. Ni ◽  
R. T. Constable ◽  
W. E. Mencl ◽  
K. R. Pugh ◽  
R. K. Fulbright ◽  
...  
Keyword(s):  
Sentence Processing ◽  
Brain Activity ◽  
Judgment Task ◽  
Grammatical Structure ◽  
Linguistic Processing ◽  
Neuroimaging Study ◽  
Wernicke’S Area ◽  
Simple Sentences ◽  
Increased Activity ◽  
Content Semantics

Two coordinated experiments using functional Magnetic Resonance Imaging (fMRI) investigated whether the brain represents language form (grammatical structure) separately from its meaning content (semantics). While in the scanner, 14 young, unimpaired adults listened to simple sentences that were either nonanomalous or contained a grammatical error (for example, *Trees can grew.), or a semantic anomaly (for example, *Trees can eat.). A same/different tone pitch judgment task provided a baseline that isolated brain activity associated with linguistic processing from background activity generated by attention to the task and analysis of the auditory input. Sites selectively activated by sentence processing were found in both hemispheres in inferior frontal, middle, and superior frontal, superior temporal, and temporo-parietal regions. Effects of syntactic and semantic anomalies were differentiated by some nonoverlapping areas of activation: Syntactic anomaly triggered significantly increased activity in and around Broca's area, whereas semantic anomaly activated several other sites anteriorly and posteriorly, among them Wernicke's area. These dissociations occurred when listeners were not required to attend to the anomaly. The results confirm that linguistic operations in sentence processing can be isolated from nonlinguistic operations and support the hypothesis of a specialization for syntactic processing.

scholarly journals Creation, Storage and Presentation of Information Content – Semantics, Sharing, Presentation, and Archiving

2019 ◽  
Vol 11 (01) ◽  
pp. 75-82
Author(s):  
Jan Masner ◽  
◽  
Pavel Šimek ◽  
Eva Kánská ◽  
Jiří Vaněk ◽  
...  
Keyword(s):  
Information Content ◽  
Content Semantics
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