Database and Expert Systems Applications: 30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part II

Description

This two volume set of LNCS 11706 and LNCS 11707 constitutes the refereed proceedings of the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019. The 32 full papers presented together with 34 short papers were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: Part I: Big data management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust; consistency, integrity, quality of data; decision support systems; data mining and warehousing. Part II: Distributed, parallel, P2P, grid and cloud databases; information retrieval; Semantic Web and ontologies; information processing; temporal, spatial, and high dimensional databases; knowledge discovery; web services. Front Matter ....Pages i-xix Front Matter ....Pages 1-1 Looking into the Peak Memory Consumption of Epoch-Based Reclamation in Scalable in-Memory Database Systems (Hitoshi Mitake, Hiroshi Yamada, Tatsuo Nakajima)....Pages 3-18 Energy Efficient Data Placement and Buffer Management for Multiple Replication (Satoshi Hikida, Hieu Hanh Le, Haruo Yokota)....Pages 19-29 Querying Knowledge Graphs with Natural Languages (Xin Wang, Lan Yang, Yan Zhu, Huayi Zhan, Yuan Jin)....Pages 30-46 Explaining Query Answer Completeness and Correctness with Partition Patterns (Fatma-Zohra Hannou, Bernd Amann, Mohamed-Amine Baazizi)....Pages 47-62 Front Matter ....Pages 63-63 Research Paper Search Using a Topic-Based Boolean Query Search and a General Query-Based Ranking Model (Satoshi Fukuda, Yoichi Tomiura, Emi Ishita)....Pages 65-75 Extractive Document Summarization using Non-negative Matrix Factorization (Alka Khurana, Vasudha Bhatnagar)....Pages 76-90 Succinct BWT-Based Sequence Prediction (Rafael Ktistakis, Philippe Fournier-Viger, Simon J. Puglisi, Rajeev Raman)....Pages 91-101 TRR: Reducing Crowdsourcing Task Redundancy (Sh. Galal, Mohamed E. El-Sharkawi)....Pages 102-117 Software Resource Recommendation for Process Execution Based on the Organization’s Profile (Miller Biazus, Carlos Habekost dos Santos, Larissa Narumi Takeda, José Palazzo Moreira de Oliveira, Marcelo Fantinato, Jan Mendling et al.)....Pages 118-128 An Experiment to Analyze the Use of Process Modeling Guidelines to Create High-Quality Process Models (Diego Torales Avila, Raphael Piegas Cigana, Marcelo Fantinato, Hajo A. Reijers, Jan Mendling, Lucineia Heloisa Thom)....Pages 129-139 Front Matter ....Pages 141-141 Novel Node Importance Measures to Improve Keyword Search over RDF Graphs (Elisa S. Menendez, Marco A. Casanova, Luiz A. P. Paes Leme, Mohand Boughanem)....Pages 143-158 Querying in a Workload-Aware Triplestore Based on NoSQL Databases (Luiz Henrique Zambom Santana, Ronaldo dos Santos Mello)....Pages 159-173 Reverse Partitioning for SPARQL Queries: Principles and Performance Analysis (Jorge Galicia, Amin Mesmoudi, Ladjel Bellatreche, Carlos Ordonez)....Pages 174-183 PFed: Recommending Plausible Federated SPARQL Queries (Florian Hacques, Hala Skaf-Molli, Pascal Molli, Sara E. L. Hassad)....Pages 184-197 Representing and Reasoning About Precise and Imprecise Time Points and Intervals in Semantic Web: Dealing with Dates and Time Clocks (Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Metais, Faiez Gargouri)....Pages 198-208 Front Matter ....Pages 209-209 Context-Aware Multi-criteria Recommendation Based on Spectral Graph Partitioning (Rim Dridi, Lynda Tamine, Yahya Slimani)....Pages 211-221 SilverChunk: An Efficient In-Memory Parallel Graph Processing System (Tianqi Zheng, Zhibin Zhang, Xueqi Cheng)....Pages 222-236 A Modular Approach for Efficient Simple Question Answering Over Knowledge Base (Happy Buzaaba, Toshiyuki Amagasa)....Pages 237-246 Scalable Machine Learning in the R Language Using a Summarization Matrix (Siva Uday Sampreeth Chebolu, Carlos Ordonez, Sikder Tahsin Al-Amin)....Pages 247-262 ML-PipeDebugger: A Debugging Tool for Data Processing Pipelines (Felix Kossak, Michael Zwick)....Pages 263-272 Front Matter ....Pages 273-273 Correlation Set Discovery on Time-Series Data (Daichi Amagata, Takahiro Hara)....Pages 275-290 Anomaly Subsequence Detection with Dynamic Local Density for Time Series (Chunkai Zhang, Yingyang Chen, Ao Yin)....Pages 291-305 Trajectory Similarity Join for Spatial Temporal Database (Tangpeng Dan, Changyin Luo, Yanhong Li, Chenyuan Zhang)....Pages 306-321 Front Matter ....Pages 323-323 Multiviewpoint-Based Agglomerative Hierarchical Clustering (Yuji Fujiwara, Hisashi Koga)....Pages 325-340 Triplet-CSSVM: Integrating Triplet-Sampling CNN and Cost-Sensitive Classification for Imbalanced Image Detection (Jiefan Tan, Yan Zhu, Qiang Du)....Pages 341-350 Discovering Partial Periodic High Utility Itemsets in Temporal Databases (T. Yashwanth Reddy, R. Uday Kiran, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa)....Pages 351-361 Using Mandatory Concepts for Knowledge Discovery and Data Structuring (Samir Elloumi, Sadok Ben Yahia, Jihad Al Ja’am)....Pages 362-375 Topological Data Analysis with \(\epsilon \)-net Induced Lazy Witness Complex (Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan)....Pages 376-392 Analyzing Sequence Pattern Variants in Sequential Pattern Mining and Its Application to Electronic Medical Record Systems (Hieu Hanh Le, Tatsuhiro Yamada, Yuichi Honda, Masaaki Kayahara, Muneo Kushima, Kenji Araki et al.)....Pages 393-408 Front Matter ....Pages 409-409 Composing Distributed Data-Intensive Web Services Using Distance-Guided Memetic Algorithm (Soheila Sadeghiram, Hui Ma, Gang Chen)....Pages 411-422 Keyword Search Based Mashup Construction with Guaranteed Diversity (Huanyu Cheng, Ming Zhong, Jian Wang, Tieyun Qian)....Pages 423-433 Using EDA-Based Local Search to Improve the Performance of NSGA-II for Multiobjective Semantic Web Service Composition (Chen Wang, Hui Ma, Gang Chen)....Pages 434-451 Adaptive Caching for Data-Intensive Scientific Workflows in the Cloud (Gaëtan Heidsieck, Daniel de Oliveira, Esther Pacitti, Christophe Pradal, François Tardieu, Patrick Valduriez)....Pages 452-466 Back Matter ....Pages 467-469