Scalable Visualization of Semantic Nets using Power-Law Graphs

Hussain, Ajaz; Latif, Khalid; Rextin, Aimal; Hayat, Amir; Alam, Masoon

doi:10.12785/amis/080145

Cited by 46 publications

(32 citation statements)

References 31 publications

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“…Some visualization tools such as OWLViz (Horridge, ), KC‐Viz (Motta, Peroni, Gómez‐Pérez, d'Aquin, & Li, ), and GrOWL (Krivov, Williams, & Villa, ) do not support search. However, Jambalaya (Storey et al, ), NavigOWL (Hussain et al, ), OntoGraf (Falconer, ), and WebVOWL support keyword search option. MEMO GRAPH (Ghorbel et al, ) is a user‐friendly ontology visualization tool especially designed to be used by everyone.…”

Section: Discussionmentioning

confidence: 99%

Onyx: A new Canvas‐based tool for visualizing biomedical and health ontologies

Öztürk

Açikgöz

2019

Expert Systems

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Ontologies provide formal, machine‐readable, and human‐interpretable representations of domain knowledge. Therefore, ontologies have come into question with the development of Semantic Web technologies. People who want to use ontologies need an understanding of the ontology, but this understanding is very difficult to attain if the ontology user lacks the background knowledge necessary to comprehend the ontology or if the ontology is very large. Thus, software tools that facilitate the understanding of ontologies are needed. Ontology visualization is an important research area because visualization can help in the development, exploration, verification, and comprehension of ontologies. This paper introduces the design of a new ontology visualization tool, which differs from traditional visualization tools by providing important metrics and analytics about ontology concepts and warning the ontology developer about potential ontology design errors. The tool, called Onyx, also has advantages in terms of speed and readability. Thus, Onyx offers a suitable environment for the representation of large ontologies, especially those used in biomedical and health information systems and those that contain many terms. It is clear that these additional functionalities will increase the value of traditional ontology visualization tools during ontology exploration and evaluation.

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Section: Discussionmentioning

confidence: 99%

Onyx: A new Canvas‐based tool for visualizing biomedical and health ontologies

Öztürk

Açikgöz

2019

Expert Systems

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“…5 is a diagram of network topologies used in the following experiments. Every network topology is formed by 100 routers and 1001 peers (1 source peer and 1000 receiver peers) and follows a power-law degree structure [17], [18]. The routers and the peers present the cores and the edges of the network, respectively.…”

Section: Performance Evaluationsmentioning

confidence: 99%

Contribution-Enabled Congestion-Aware Scheme for P2P Real-Time Multimedia Streaming Systems

Ho¹,

Huang²,

Tseng³

2015

JACN

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Abstract-Inthis article, a contribution-enabled congestion-aware (CECA) scheme is proposed to enhance the fairness and efficiency of content distribution, and improve the entire bandwidth utility for mesh peer-to-peer (P2P) real-time multimedia streaming systems. This is because the mesh P2P streaming system outperforms others in many aspects, but most content distribution mechanisms use only one of upload bandwidth and link latency as a factor that malfunctions the reward and punishment scheme. Besides, their congestion controls partially or mostly rely on the transport layer protocol such as transmission control protocol (TCP). Hence, the CECA dynamically adjusts a receiver peer's content window size (CWS) based on the contribution and packet loss rate of the receiver peer. Furthermore, the CECA is implemented in NS2 and experimental results show that the CECA could at the most shorten the receiving time about 20.78%, 32.26%, 30.74%, and 26.18%, and improve the entire performance about 11.42%, 18.87%, 14.55%, and 14.19% at the most, when it compares with the BLACE, the Coolstreaming, the Coolstreaming with bandwidth preference, and the Coolstreaming with latency preference, respectively.

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“…Unfortunately, the different ontology elements are often hard to distinguish in the visualizations. For instance, TGViz [5] and NavigOWL [22] use very simple graph visualizations where all nodes and links look the same except for their color. This is different in GrOWL [24] and SOVA [25], which define more elaborated notations using different symbols, colors, and node shapes.…”

Section: Graph Visualizations Of Ontologiesmentioning

confidence: 99%

VOWL 2: User-Oriented Visualization of Ontologies

Lohmann

Negru

Haag

et al. 2014

Lecture Notes in Computer Science

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Abstract. Ontologies become increasingly important as a means to structure and organize information. This requires methods and tools that enable not only ontology experts but also other user groups to work with ontologies and related structures. We have developed VOWL, a comprehensive and well-specified visual language for the user-oriented visualization of ontologies, and conducted a comparative study on an initial version of VOWL. Based upon results from that study, as well as an extensive review of other ontology visualizations, we have reworked many parts of VOWL. In this paper, we present the new version VOWL 2 and describe how the initial definitions were used to systematically redefine the visual notation. Beside the novelties of the language definition, which is based on a well-defined set of graphical primitives and an abstract color scheme, we briefly describe two implementations of VOWL 2. To gather some insight into the user experience with the new version of VOWL, we have conducted a small qualitative evaluation. We report on the study and its results, which confirmed that not only the general ideas of VOWL but also various of our enhancements for VOWL 2 can be understood by casual ontology users.

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Scalable Visualization of Semantic Nets using Power-Law Graphs

Cited by 46 publications

References 31 publications

Onyx: A new Canvas‐based tool for visualizing biomedical and health ontologies

Onyx: A new Canvas‐based tool for visualizing biomedical and health ontologies

Contribution-Enabled Congestion-Aware Scheme for P2P Real-Time Multimedia Streaming Systems

VOWL 2: User-Oriented Visualization of Ontologies

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