scholarly journals Managing knowledge to enhance learning

2009 ◽  
pp. 103-119
Keyword(s):  
Distance Education ◽  
Semantic Network ◽  
Collaborative Work ◽  
Semantic Networks ◽  
Semantic Content ◽  
Open Learning ◽  
Fine Grained

The article first summarizes reasons why current approaches supporting Open Learning and Distance Education need to be complemented by tools permitting lecturers, researchers and students to cooperatively organize the semantic content of Learning related materials (courses, discussions, etc.) into a fine-grained shared semantic network. This first part of the article also quickly describes the approach adopted to permit such a collaborative work. Then, examples of such semantic networks are presented. Finally, an evaluation of the approach by students is provided and analyzed.

Representation and Display of Digital Images of Cultural Heritage: A Semantic Enrichment Approach

2021 ◽  
Vol 48 (3) ◽  
pp. 231-247
Author(s):  
Xu Tan ◽  
Xiaoxi Luo ◽  
Xiaoguang Wang ◽  
Hongyu Wang ◽  
Xilong Hou
Keyword(s):  
Cultural Heritage ◽  
Digital Images ◽  
Semantic Network ◽  
Semantic Representation ◽  
Semantic Annotation ◽  
Visual Display ◽  
Semantic Content ◽  
Entity Recognition ◽  
Semantic Enrichment ◽  
Fine Grained

Digital images of cultural heritage (CH) contain rich semantic information. However, today’s semantic representations of CH images fail to fully reveal the content entities and context within these vital surrogates. This paper draws on the fields of image research and digital humanities to propose a systematic methodology and a technical route for semantic enrichment of CH digital images. This new methodology systematically applies a series of procedures including: semantic annotation, entity-based enrichment, establishing internal relations, event-centric enrichment, defining hierarchy relations between properties text annotation, and finally, named entity recognition in order to ultimately provide fine-grained contextual semantic content disclosure. The feasibility and advantages of the proposed semantic enrichment methods for semantic representation are demonstrated via a visual display platform for digital images of CH built to represent the Wutai Mountain Map, a typical Dunhuang mural. This study proves that semantic enrichment offers a promising new model for exposing content at a fine-grained level, and establishing a rich semantic network centered on the content of digital images of CH.

scholarly journals The use of semantic technologies in the activities of the university: applied aspects

2020 ◽  
Vol 7 (1) ◽  
pp. 3-9
Author(s):  
Yu.N. Bartashevskaya ◽  
Keyword(s):  
Big Data ◽  
Query Language ◽  
Semantic Network ◽  
Semantic Networks ◽  
Semantic Content ◽  
Semantic Technologies ◽  
Data Types ◽  
The Difference ◽  
Semantic Markup ◽  
The University

The article considers the problem of using Big Data in a modern economics and public life. The volumes and complexity of information are growing rapidly, but modern technologies cannot ensure their effective use. There is a lag in technologies, methods, and practices for using Big Data. The imbalance can be changed by semantic technologies, characterized by a different approach to the processing and use of data. This approach is based on the use of knowledge. Proved that despite the rather long time of the existence of semantic technologies and semantic networks, there are many obstacles to their effective application. These are the problems of accessibility of semantic content, accessibility of ontologies, their evolution, scalability and multilingualism. And since far from all the data presented on the network is created in terms of semantic markup and is unlikely to be brought to it in the future, the problem of accessibility of semantic content is one of the main ones. The article shows the difference between the semantic network and the semantic Web, and also indicates the development technologies of the latter. As the subject of study, the module of the courses of the Alfred Nobel University was selected. The composition of a separate module or a separate course is examined in detail: data on the university, lecturer, data on the provision of the course and language of its teaching, acquired skills, abilities, results and the like. A graph of the module of courses has been built on the example of the Alfred Nobel University in terms of ontology, its individual, most significant classes – components are considered. The main classes, subclasses and their contents are considered, data types (date, text, URL) are indicated. The ontological scheme has been converted to the RDF format, such as is necessary for modelling data in the semantic network and further research. The prospects for further research on the application of the selected model for representing knowledge, using the query language, obtaining and interpreting data from other universities, etc. are determined. Keywords: semantic technologies, semantic networks, ontologies, CmapTools, course module graph.

Examining the episodic-semantic interplay during future thinking – A reanalysis of external details

2020 ◽  
Author(s):  
Cherie Strikwerda-Brown ◽  
John Hodges ◽  
Olivier Piguet ◽  
Muireann Irish
Keyword(s):  
Life Story ◽  
Semantic Content ◽  
Structural Mri ◽  
Future Thinking ◽  
Fine Grained ◽  
Differential Vulnerability ◽  
Clinical Disorders ◽  
External Component ◽  
Future Narratives ◽  
General Semantic

Traditional analyses of autobiographical construction have tended to focus on the ‘internal’ or episodic details of the narrative. Contemporary studies employing fine-grained scoring measures, however, reveal the ‘external’ component of autobiographical narratives to contain important information relevant to the individual’s life story. Here, we used the recently developed NExt scoring protocol to explore profiles of external details generated by patients with Alzheimer’s disease (AD) (n = 11) and semantic dementia (SD) (n = 13) on a future thinking task. Voxel-based morphometry analyses of structural MRI were used to determine the neural correlates of external detail profiles in each patient group. Overall, distinct NExt profiles were observed across past and future temporal contexts in AD and SD groups, which involved elevations in external details, in the context of reduced internal details, relative to healthy Controls. Specifically, AD patients provided significantly more General Semantic details compared with Controls during past retrieval, whereas Specific Episode external details were elevated during future simulation. These increased external details within future narratives related to grey matter integrity in medial and lateral frontal regions in AD. By contrast, SD patients displayed an elevation of Specific Episode, Extended Episode, and General Semantic details exclusively during future simulation relative to Controls, which related to integrity of medial and lateral parietal regions. Our findings suggest that the compensatory external details generated during future simulation comprise an array of episodic and semantic details that vary in terms of specificity and self-relevance. Moreover, these profiles appear to be differentially affected depending on the locus of underlying neuropathology in dementia. Adopting a fine-grained approach to external details provides important information regarding the interplay between episodic and semantic content during future stimulation and highlights the differential vulnerability and preservation of distinct components of the constructed narrative in clinical disorders.

scholarly journals Generative Adversarial Networks to Improve the Robustness of Visual Defect Segmentation by Semantic Networks in Manufacturing Components

2021 ◽  
Vol 11 (14) ◽  
pp. 6368
Author(s):  
Fátima A. Saiz ◽  
Garazi Alfaro ◽  
Iñigo Barandiaran ◽  
Manuel Graña
Keyword(s):  
Ad Hoc ◽  
Data Augmentation ◽  
Semantic Network ◽  
Semantic Networks ◽  
Stereo Image ◽  
Generative Adversarial Networks ◽  
Specific Class ◽  
Adversarial Networks ◽  
Augmentation Techniques ◽  
Image Acquisition System

This paper describes the application of Semantic Networks for the detection of defects in images of metallic manufactured components in a situation where the number of available samples of defects is small, which is rather common in real practical environments. In order to overcome this shortage of data, the common approach is to use conventional data augmentation techniques. We resort to Generative Adversarial Networks (GANs) that have shown the capability to generate highly convincing samples of a specific class as a result of a game between a discriminator and a generator module. Here, we apply the GANs to generate samples of images of metallic manufactured components with specific defects, in order to improve training of Semantic Networks (specifically DeepLabV3+ and Pyramid Attention Network (PAN) networks) carrying out the defect detection and segmentation. Our process carries out the generation of defect images using the StyleGAN2 with the DiffAugment method, followed by a conventional data augmentation over the entire enriched dataset, achieving a large balanced dataset that allows robust training of the Semantic Network. We demonstrate the approach on a private dataset generated for an industrial client, where images are captured by an ad-hoc photometric-stereo image acquisition system, and a public dataset, the Northeastern University surface defect database (NEU). The proposed approach achieves an improvement of 7% and 6% in an intersection over union (IoU) measure of detection performance on each dataset over the conventional data augmentation.

scholarly journals The Kinematics of Social Action: Visual Signals Provide Cues for What Interlocutors Do in Conversation

2021 ◽  
Vol 11 (8) ◽  
pp. 996
Author(s):  
James P. Trujillo ◽  
Judith Holler
Keyword(s):  
Social Action ◽  
Motion Tracking ◽  
Time Window ◽  
Semantic Content ◽  
Visual Signals ◽  
Manual Annotation ◽  
Conversational Interaction ◽  
Fine Grained ◽  
Social Actions ◽  
Rapid Processing

During natural conversation, people must quickly understand the meaning of what the other speaker is saying. This concerns not just the semantic content of an utterance, but also the social action (i.e., what the utterance is doing—requesting information, offering, evaluating, checking mutual understanding, etc.) that the utterance is performing. The multimodal nature of human language raises the question of whether visual signals may contribute to the rapid processing of such social actions. However, while previous research has shown that how we move reveals the intentions underlying instrumental actions, we do not know whether the intentions underlying fine-grained social actions in conversation are also revealed in our bodily movements. Using a corpus of dyadic conversations combined with manual annotation and motion tracking, we analyzed the kinematics of the torso, head, and hands during the asking of questions. Manual annotation categorized these questions into six more fine-grained social action types (i.e., request for information, other-initiated repair, understanding check, stance or sentiment, self-directed, active participation). We demonstrate, for the first time, that the kinematics of the torso, head and hands differ between some of these different social action categories based on a 900 ms time window that captures movements starting slightly prior to or within 600 ms after utterance onset. These results provide novel insights into the extent to which our intentions shape the way that we move, and provide new avenues for understanding how this phenomenon may facilitate the fast communication of meaning in conversational interaction, social action, and conversation.

Semantic Network Language Generation based on a Semantic Networks Serialization Grammar

2010 ◽  
Vol 13 (3) ◽  
pp. 307-341 ◽  
Author(s):  
Yintang Dai ◽  
Shiyong Zhang ◽  
Jidong Chen ◽  
Tianyuan Chen ◽  
Wei Zhang
Keyword(s):  
Semantic Network ◽  
Semantic Networks ◽  
Language Generation ◽  
Network Language

scholarly journals The General Intonation in the Performance of “Boris Godunov” of Vsevolod Meyerhold — Sergei Prokofiev

ICONI ◽  
2019 ◽  
pp. 36-48
Author(s):  
Ivan D. Porshnev ◽  
Keyword(s):  
Communist Party ◽  
Collaborative Work ◽  
Central Committee ◽  
Semantic Content ◽  
Sergei Prokofiev ◽  
Soviet State ◽  
History Of ◽  
Centennial Anniversary ◽  
The Creation ◽  
Boris Godunov

The article dwells upon the process of the artistic cooperation between Vsevolod Meyerhold and Sergei Prokofi ev by the example of their collaborative work on Alexander Pushkin’s play “Boris Godunov.” The preparation for the actualization of the conception had started long before the main rehearsing period — in 1934, after the issuance of the edict of the Politburo of the Central Committee of the VKP(b) (Communist Party) “Concerning the Foundation of the All-Union Pushkin Committee in connection with the centennial anniversary of the death of Alexander Sergeyevich Pushkin.” The performance was supposed to have become the appropriate response to the festivities of the Pushkin jubilee, but it never got round to being performed at that time. The peculiarities of the interpretation of the drama in the dialogue of the two Masters are examined on the basis of the materials connected with the history of the creation of the performance and the music to it. Analysis is made of the semantic content of the musical numbers (“The Song of the Lonely Wanderer” and the “Songs of Loneliness”), which carry out the function of the through leit-motifs and indirectly characterize Boris Godunov and the Pretender, and also play an important role in the formation of the “general intonation” of the performance. The conclusion is arrived at that the “politically saturated” production of Vsevolod Meyerhold and Sergei Prokofi ev touched upon the prohibited “territory of meanings”: the denoted implication unwittingly projected itself on the personal fate of the ruler of the Soviet state.

scholarly journals Structural differences in the semantic networks of younger and older adults

2018 ◽  
Author(s):  
Dirk U. Wulff ◽  
Thomas Hills ◽  
Rui Mata
Keyword(s):  
Older Adults ◽  
Cognitive Modeling ◽  
Semantic Network ◽  
Semantic Networks ◽  
Edge Weight ◽  
Younger Adults ◽  
Age Related ◽  
Weight Distributions ◽  
Path Lengths ◽  
First Time

Cognitive science invokes semantic networks to explain diverse phenomena from reasoning to memory retrieval and creativity. While diverse approaches are available, researchers commonly assume a single underlying semantic network that is shared across individuals. Yet, semantic networks are considered the product of experience implying that individuals who make different experiences should possess different semantic networks. By studying differences between younger and older adults, we demonstrate that this is the case. Using a network analytic approach and diverse empirical data, we present converging evidence of age-related differences in semantic networks of groups and, for the first time, individuals. Specifically, semantic networks of older adults exhibited larger degrees, less clustering, and longer path lengths. Furthermore, the edge weight distributions of older adults individual networks exhibited significantly more skew and higher entropy across node pairs and, except for unrelated node pairs, less inter-individual agreement, suggesting that older adults networks are generally more distinct than younger adults networks. Our results challenge the common conception of a single semantic network shared by individuals and highlight the importance of individual differences in cognitive modeling. They also present valuable benchmarks to discern between theories of age-related changes in cognitive performance.

Dynamic Co-Evolutions of Peace Frames in the United States, Mainland China, and Hong Kong

2018 ◽  
pp. 145-168
Author(s):  
Ke Jiang ◽  
George A. Barnett ◽  
Laramie D. Taylor ◽  
Bo Feng
Keyword(s):  
United States ◽  
Hong Kong ◽  
Semantic Network ◽  
News Coverage ◽  
Mainland China ◽  
Semantic Networks ◽  
The United States ◽  
Semantic Network Analysis ◽  
Xinhua News Agency ◽  
South China Morning

This chapter employs semantic network analysis to investigate the online database LexisNexis to study the dynamic co-evolutions of peace frames embedded in the news coverage from the Associated Press (AP--United States), Xinhua News Agency (XH--Mainland China), and South China Morning Post (SCMP—Hong Kong). From 1995 to 2014, while the war and harmony frames were relatively stable in AP and XH respectively, there was a trend toward convergence of the use of war frames between AP and XH. The convergence of semantic networks of coverage of peace in AP and XH may have left more room for SCPM to develop a unique peace frame, and the divergence of semantic networks of coverage of peace in AP and XH may lead SCPM to develop strategies of balancing the frames employed by AP and XH, thus creating a hybrid peace frame.

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