scholarly journals Constructing Knowledge Graphs for Online Collaborative Programming

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 117969-117980
Author(s):  
Yuanyi Zhen ◽  
Lanqin Zheng ◽  
Penghe Chen
Keyword(s):  
Collaborative Programming ◽  
Knowledge Graphs ◽  
Constructing Knowledge

scholarly journals Knowledge Graphs

2021 ◽  
Vol 5 ◽  
Author(s):  
Roderic Page
Keyword(s):  
Knowledge Management ◽  
Large Scale ◽  
Personal Knowledge ◽  
Knowledge Graph ◽  
Specific Knowledge ◽  
Management Tools ◽  
Global Projects ◽  
Knowledge Graphs ◽  
Constructing Knowledge ◽  
Knowledge Management Tools

Knowledge graphs embody the idea of "everything connected to everything else." As attractive as this seems, there is a substantial gap between the dream of fully interconnected knowledge and the reality of data that is still mostly siloed, or weakly connected by shared strings such as taxonomic names. How do we move forward? Do we focus on building our own domain- or project-specific knowledge graphs, or do we engage with global projects such as Wikidata? Do we construct knowledge graphs, or focus on making our data "knowledge graph ready" by adopting structured markup in the hope that knowledge graphs will spontaneously self-assemble from that data? Do we focus on large-scale, database-driven projects (e.g., triple stores in the cloud), or do we rely on more localised and distributed approaches, such as annotations (e.g., hypothes.is), "content-hash" systems where a cryptographic hash of the data is also its identifier (Elliott et al. 2020), or the growing number of personal knowledge management tools (e.g., Roam, Obsidian, LogSeq)? This talk will share experiences (the good, bad, and the ugly) as I have tried to transition from naïve advocacy to constructing knowledge graphs (Page 2019), or participating in their construction (Page 2021).

scholarly journals Knowledge Graphs Representation for Event-Related E-News Articles

2021 ◽  
Vol 3 (4) ◽  
pp. 802-818
Author(s):  
M.V.P.T. Lakshika ◽  
H.A. Caldera
Keyword(s):  
Knowledge Representation ◽  
Contextual Information ◽  
Background Information ◽  
Knowledge Graph ◽  
Learning Approaches ◽  
Text Documents ◽  
Precise Knowledge ◽  
Knowledge Graphs ◽  
News Corpus ◽  
Constructing Knowledge

E-newspaper readers are overloaded with massive texts on e-news articles, and they usually mislead the reader who reads and understands information. Thus, there is an urgent need for a technology that can automatically represent the gist of these e-news articles more quickly. Currently, popular machine learning approaches have greatly improved presentation accuracy compared to traditional methods, but they cannot be accommodated with the contextual information to acquire higher-level abstraction. Recent research efforts in knowledge representation using graph approaches are neither user-driven nor flexible to deviations in the data. Thus, there is a striking concentration on constructing knowledge graphs by combining the background information related to the subjects in text documents. We propose an enhanced representation of a scalable knowledge graph by automatically extracting the information from the corpus of e-news articles and determine whether a knowledge graph can be used as an efficient application in analyzing and generating knowledge representation from the extracted e-news corpus. This knowledge graph consists of a knowledge base built using triples that automatically produce knowledge representation from e-news articles. Inclusively, it has been observed that the proposed knowledge graph generates a comprehensive and precise knowledge representation for the corpus of e-news articles.

Constructing Knowledge Graphs of Depression

2017 ◽  
pp. 149-161 ◽  
Author(s):  
Zhisheng Huang ◽  
Jie Yang ◽  
Frank van Harmelen ◽  
Qing Hu
Keyword(s):  
Knowledge Graphs ◽  
Constructing Knowledge

scholarly journals A Novel Time Constraint-Based Approach for Knowledge Graph Conflict Resolution

2019 ◽  
Vol 9 (20) ◽  
pp. 4399
Author(s):  
Yanjun Wang ◽  
Yaqiong Qiao ◽  
Jiangtao Ma ◽  
Guangwu Hu ◽  
Chaoqin Zhang ◽  
...  
Keyword(s):  
Conflict Resolution ◽  
Classical Method ◽  
Error Rates ◽  
Knowledge Graph ◽  
Semantic Embedding ◽  
Conflict Problem ◽  
Noise Data ◽  
Soft Logic ◽  
Knowledge Graphs ◽  
Constructing Knowledge

Knowledge graph conflict resolution is a method to solve the knowledge conflict problem in constructing knowledge graphs. The existing methods ignore the time attributes of facts and the dynamic changes of the relationships between entities in knowledge graphs, which is liable to cause high error rates in dynamic knowledge graph construction. In this article, we propose a knowledge graph conflict resolution method, knowledge graph evolution algorithm based on deep learning (Kgedl), which can resolve facts confliction with high precision by combing time attributes, semantic embedding representations, and graph structure features. Kgedl first trains the semantic embedding vector through the relationships between entities. Then, the path embedding vector is trained from the graph structures of knowledge graphs, and the time attributes of entities are combined with the semantic and path embedding vectors. Finally, Kgedl uses a recurrent neural network to make the inconsistent facts appear in the dynamic evolution of the knowledge graph consistent. A large number of experiments on real datasets show that Kgedl outperforms the state-of-the-art methods. Especially, Kgedl achieves 23% higher performance than the classical method numerical Probabilistic Soft Logic (nPSL).in the metric HITS@10. Also, extensive experiments verified that our proposal possess better robustness by adding noise data.

Mobile Software Assurance Informed through Knowledge Graph Construction: The OWASP Threat of Insecure Data Storage

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Suzanna Schmeelk ◽  
Lixin Tao
Keyword(s):  
Data Storage ◽  
Program Analysis ◽  
Web Application ◽  
Security Analysis ◽  
Knowledge Graph ◽  
Healthcare Applications ◽  
Sensitive Data ◽  
Knowledge Graphs ◽  
Mobile Malware Detection ◽  
Software Assurance

Many organizations, to save costs, are movinheg to t Bring Your Own Mobile Device (BYOD) model and adopting applications built by third-parties at an unprecedented rate.  Our research examines software assurance methodologies specifically focusing on security analysis coverage of the program analysis for mobile malware detection, mitigation, and prevention.  This research focuses on secure software development of Android applications by developing knowledge graphs for threats reported by the Open Web Application Security Project (OWASP).  OWASP maintains lists of the top ten security threats to web and mobile applications.  We develop knowledge graphs based on the two most recent top ten threat years and show how the knowledge graph relationships can be discovered in mobile application source code.  We analyze 200+ healthcare applications from GitHub to gain an understanding of their software assurance of their developed software for one of the OWASP top ten moble threats, the threat of “Insecure Data Storage.”  We find that many of the applications are storing personally identifying information (PII) in potentially vulnerable places leaving users exposed to higher risks for the loss of their sensitive data.

Rhetoric and Affect in Bilingual Latinx Literature

2018 ◽  
pp. 306-329
Author(s):  
Matylda Figlerowicz ◽  
Doris Sommer
Keyword(s):  
William Carlos Williams ◽  
Gloria Anzaldua ◽  
Political Discussion ◽  
Guillermo Cabrera Infante ◽  
Ana Lydia Vega ◽  
Rhetorical Figures ◽  
Aesthetic Pleasure ◽  
New Space ◽  
Genre Conventions ◽  
Constructing Knowledge

Latinx writers cross boundaries between languages, renovating the experience both of language and of literature. This article takes up the invitations of several creative/disruptive artists: Víctor Hernández Cruz, Guillermo Cabrera Infante, Ana Lydia Vega, William Carlos Williams, Gloria Anzaldúa, and Tino Villanueva. The analysis shows how bilingualism transforms rhetorical figures and affective structures, arguing that metonymy—understood as contiguity and as desire—is a predominant figure of bilingualism: a figure of almost arbitrary coincidence, an unintended intimacy that writers exploit. Through rhetorical and affective gestures, bilingualism alters genre conventions and opens a new space for aesthetic pleasure and political discussion, which requires and forms an alert audience with new ways of reading. The essay traces the visions of future (and its fantasies) and of past (and its memories) from the perspective of bilingualism, showing how operating between languages allows for new ways of constructing knowledge.

Thinking with a landscape: the Australian Alps, horses and pedagogical considerations

2020 ◽  
pp. 1-19
Author(s):  
Scott Jukes
Keyword(s):  
Environmental Education ◽  
Educational Research ◽  
Specific Problem ◽  
Geographical Location ◽  
Outdoor Environmental Education ◽  
Australian Alps ◽  
Environmental Educators ◽  
Multiple Species ◽  
Constructing Knowledge

Abstract This paper proposes some possibilities for thinking with a landscape as a pedagogical concept, inspired by posthuman theory. The idea of thinking with a landscape is enacted in the Australian Alps (AA), concentrating on the contentious environmental dilemma involving introduced horses and their management in this bio-geographical location. The topic of horses is of pedagogical relevance for place-responsive outdoor environmental educators as both a location-specific problem and an example of a troubling issue. The paper has two objectives for employing posthuman thinking. Firstly, it experiments with the alternative methodological possibilities that posthuman theory affords for outdoor environmental education, including new ways of conducting educational research. Secondly, it explores how thinking with a landscape as a pedagogical concept may help open ways of considering the dilemma that horses pose. The pedagogical concept is enacted through some empirical events which sketch human–horse encounters from the AA. These sketches depict some of the pedagogical conversations and discursive pathways that encounters can provoke. Such encounters and conversations are ways of constructing knowledge of the landscape, covering multiple species, perspectives and discursive opportunities. For these reasons, this paper may be of relevance for outdoor environmental educators, those interested in the AA or posthuman theorists.

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