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Towards Temporal Graph Databases [article]

Alexander Campos and Jorge Mozzino and Alejandro Vaisman
2016 arXiv   pre-print
In spite of the extensive literature on graph databases (GDBs), temporal GDBs have not received too much attention so far.  ...  In this paper we propose a data model and query language (denoted TEG-QL) for temporal GDBs, based on the notion of attribute graphs.  ...  The temporal semantics in embedded in the language, as is normally the case in temporal databases [11] .  ... 
arXiv:1604.08568v2 fatcat:w4rt26h56rb6rcq2cvcqc45lki

A Concept for Graph-Based Temporal Similarity of Patient Data

Matthias Ganzinger, Jens Schrodt, Petra Knaup
2019 Studies in Health Technology and Informatics  
Temporal patient data are organized in a time-graph structure. For the quantification of similarity between cases, we exploit graph theory based approaches.  ...  In this paper we describe a novel approach to use temporal data of electronic patient records based on similarity measures.  ...  The exact requirements towards such database systems depend on the characteristics of the graph-based similarity measure.  ... 
doi:10.3233/shti190199 pmid:31437901 fatcat:wyzzp4kminholfcxfca5alnviu

Towards Unifying Vulnerability Information for Attack Graph Construction [chapter]

Sebastian Roschke, Feng Cheng, Robert Schuppenies, Christoph Meinel
2009 Lecture Notes in Computer Science  
Summary -Questions ■ Existing databases are either commercial or community-based ■ CVSS -Common Vulnerability Scoring System □ Metric indicates how critial a vulnerability is □ Metrics: base metrics, temporal  ...  metrics, and environmental metrics Reader for new VDBs, e.g., ...□ Writers for different Attack Graph tools■ Universal vulnerability database providing unified vulnerability information (extracted from  ... 
doi:10.1007/978-3-642-04474-8_18 fatcat:yvvg2iimnbhcvirf3ieb3b6mbe

Spatio-Temporal Hyper Graph Partition Clustering Ensemble: An Overview

Y.Leela Sandhya Rani
2014 International Journal of Software Engineering for Smart Device  
To classify spatio-temporal databases with improving robustness, stability and accuracy of unsupervised classification solutions, we including ensemble clustering using hybrid graph based partition technique.Traditional  ...  For this reason we are introducing an ensemble clustering using hybrid graph partitioning algorithm for spatio-temporal databases which makes use of randomly initialized k-means algorithm for generation  ...  Spatio-temporal databases Now a day's Spatio-temporal databases becomes very popular.  ... 
doi:10.21742/ijsesd.2014.1.1.02 fatcat:n4gzxna7vnfbbcn5lv4hldluve

Raising Time Awareness in Model-Driven Engineering: Vision Paper

Amine Benelallam, Thomas Hartmann, Ludovic Mouline, Francois Fouquet, Johann Bourcier, Olivier Barais, Yves Le Traon
2017 2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)  
In this context, historical data, also called temporal data, is becoming increasingly available and delivers means to analyse the history of applications, discover temporal patterns, and predict future  ...  Despite the fact that most data that today's applications are dealing with is inherently temporal current approaches, methodologies, and environments for developing these applications don't provide sufficient  ...  Unluckily, existing temporal graph databases do not support storing typed graphs.  ... 
doi:10.1109/models.2017.11 dblp:conf/models/Benelallam0MFBB17 fatcat:23gqmdrcinfytpn2suiurezrzq

Dynamic Emotion Modeling with Learnable Graphs and Graph Inception Network [article]

A. Shirian, S. Tripathi, T. Guha
2021 arXiv   pre-print
We evaluate the proposed architecture on five benchmark emotion recognition databases spanning three different modalities (video, audio, motion capture), where each database captures one of the following  ...  We achieve state-of-the-art performance on all five databases outperforming several competitive baselines and relevant existing methods.  ...  EACH NEW COMPONENT IN L-GRIN CONTRIBUTES TOWARDS ITS PERFORMANCE.  ... 
arXiv:2008.02661v2 fatcat:xkxbvyve3fbylpve374zstvrem

ICDE conference 2015 detailed author index

2015 2015 IEEE 31st International Conference on Data Engineering  
Colgan, Maria 1253 Oracle Database In-Memory: A Dual Format In-Memory Database Cong, Gao 255 Temporal Spatial-Keyword Top-k Publish/Subscribe 567 A General Graph-Based Model for Recommendation  ...  Lee, Dongwon 1527 Data-Driven Crowdsourcing: Management, Mining, and Applications Lee, Teck-Hua 1253 Oracle Database In-Memory: A Dual Format In-Memory Database Lehner, Wolfgang 1259 Towards  ... 
doi:10.1109/icde.2015.7113260 fatcat:ep7pomkm55f45j33tkpoc5asim

Human action recognition based on graph-embedded spatio-temporal subspace

Chien-Chung Tseng, Ju-Chin Chen, Ching-Hsien Fang, Jenn-Jier James Lien
2012 Pattern Recognition  
In addition, a robustness test with noisy data indicates that our system is remarkably robust toward noise in the input images.  ...  Finally, the Large Margin Nearest Neighbor (LMNN) metric learning method is applied to construct an efficient spatio-temporal subspace for classification purposes.  ...  Performance comparison of different temporal vector types To investigate the contribution of the spatio-temporal information toward the performance of the proposed human action recognition system, a series  ... 
doi:10.1016/j.patcog.2012.04.002 fatcat:ezwhpqcjrberjo75ew3xjsvhn4

Indexing and retrieval of video based on spatial relation sequences

Serhan Dağtaş, Arif Ghafoor
1999 Proceedings of the seventh ACM international conference on Multimedia (Part 2) - MULTIMEDIA '99  
An important aspect of video data is its spatio-temporal aemantics.  ...  Such descriptions are used for content-baaed retrieval processing baaed on a graphical representation, named Coordinate Valued Neighborhood Graph.  ...  Figure 2: (a) Neighborhood Graph of directional relations (b) Coordinate Valued Neighborhood Graph Figure 3 : 3 Recall-PrecisionGraphs for (0) temporal-absolute and (*) temporal-invariant search.  ... 
doi:10.1145/319878.319910 dblp:conf/mm/DagtasG99 fatcat:fcknrcn46bgajap7lpbqqm7oje

Graph-Representation of Patient Data: a Systematic Literature Review

Jens Schrodt, Aleksei Dudchenko, Petra Knaup-Gregori, Matthias Ganzinger
2020 Journal of medical systems  
Most of them use graphs to represent temporal relations, often representing the connection among laboratory data points.  ...  The databases MEDLINE, Web of Science, IEEE Xplore and ACM digital library were queried by using the search terms health record, graph and related terms.  ...  However, the development towards NoSQL database management systems also influenced EHR systems [4, 5] .  ... 
doi:10.1007/s10916-020-1538-4 pmid:32166501 fatcat:z4h3rmfdafaadcuumdivlzoeci

An Analytics-Aware Conceptual Model for Evolving Graphs [chapter]

Amine Ghrab, Sabri Skhiri, Salim Jouili, Esteban Zimányi
2013 Lecture Notes in Computer Science  
Limitation of current graph models Figure 1: Sample networks modeled as a property graphs In current graph databases, the property graph model is the most adopted.  ...  However, there is no commonly agreed conceptual model for graph databases. Moreover, none explicitly suggests tools for graph evolution tracking.  ...  However, there is no commonly agreed conceptual model for graph databases. Moreover, none explicitly suggests tools for graph evolution tracking.  ... 
doi:10.1007/978-3-642-40131-2_1 fatcat:liw4lladpbcyjd7pna7d4ustsa

An Algorithm to Simulate the Temporal Database Using Exponential Distribution

Shweta Sharma
2012 IOSR Journal of Computer Engineering  
Since the early eighties, an active temporal database research community has sought new insight into the management of time-referenced, or temporal, data and has developed concepts, tools and techniques  ...  Much of this activity has been motivated by the observations that most databases contain substantial amounts of temporal data and that conventional database technology offers precious little support for  ...  Introduction A first step towards a temporal database thus is to timestamp the data. This allows the distinction of different database states.  ... 
doi:10.9790/0661-0134650 fatcat:tgyaj2a7jnh2vmlchq4guzwqfa

Data Model, Query Language, and Real-Time Traffic Flow Analysis in Dynamic Transportation Network Based Moving Objects Databases

Zhi-Ming DING
2010 Journal of Software (Chinese)  
Data model, query language, and real-time traffic flow analysis in dynamic transportation network based moving objects databases.  ...  intime, moving {gpoint}∪BASE∪SPATIAL TEMPORAL Among the type constructors listed in Group 2, graph state (GSTATE) data types, graph temporal (GTEMPORAL) data types, and dynamic graph (GRAPH) data types  ...  Graph temporal data types Graph temporal data types are used to track the state history and also the life span of a junction or a route. Definition 6 (intimestate).  ... 
doi:10.3724/sp.j.1001.2009.00571 fatcat:whezrhdet5fi5kgtoahik5kdu4

Exploring the use of time-varying graphs for modelling transit networks [article]

Ikechukwu Maduako, Emerson Cavalheri, Monica Wachowicz
2018 arXiv   pre-print
Keywords: Transit Networks,Mobility Pattern,Time-Varying Graph model, Graph Databaseand Graph Analytics Keywords: Transit Networks,Mobility Pattern,Time-Varying Graph model, Graph Database and Graph Analytics  ...  Dynamics in this relationshipalsohave been detected using network metrics such as temporal shortest paths, degree, betweenness and PageRank centralities as well as temporal network diameter and density  ...  Connectivity is one of the key benefits of graph database over relational database. A graph is said to be connected if there is a path between every pair of vertex.  ... 
arXiv:1803.07610v1 fatcat:cendpvzqxvflpabdc4ml5scjn4

Tutorial on graph stream analytics

András Benczúr, Ferenc Béres, Domokos Kelen, Róbert Pálovics
2021 Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems  
In this short tutorial, we cover recent methods to analyze and model network data accessible as a stream of edges, such as interactions in a social network service, or any other graph database with real-time  ...  First we introduce the data streaming computational model and give examples of the so-called temporal networks.  ...  graphs quickly from a large database via graph-based indices [65] .  ... 
doi:10.1145/3465480.3468293 fatcat:a2odkdlvhrhwbhohqlezvnogre
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