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ORCIDAkiyoshi Matono
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Journal Articles
- 2024
[j9]Salman Ahmed Shaikh, Hiroyuki Kitagawa, Akiyoshi Matono, Kyoung-Sook Kim:
A Distributed and Scalable Framework for Low-Latency Continuous Trajectory Stream Processing. IEEE Access 12: 159426-159444 (2024)- 2023
- [j8]Akiyoshi Matono:
Foreword. IEICE Trans. Inf. Syst. 106(5): 836-837 (2023) - [j7]Masaya Yamada
, Hiroyuki Kitagawa, Toshiyuki Amagasa, Akiyoshi Matono:
Augmented lineage: traceability of data analysis including complex UDF processing. VLDB J. 32(5): 963-983 (2023) - 2022
- [j6]Salman Ahmed Shaikh, Hiroyuki Kitagawa, Akiyoshi Matono, Komal Mariam, Kyoung-Sook Kim:
GeoFlink: An Efficient and Scalable Spatial Data Stream Management System. IEEE Access 10: 24909-24935 (2022) - [j5]Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies. IEEE Access 10: 73879-73892 (2022) - [j4]Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network. Remote. Sens. 14(14): 3295 (2022) - [j3]Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs. Remote. Sens. 14(18): 4479 (2022) - 2021
- [j2]Taehoon Kim, Jun Lee, Kyoung-Sook Kim, Akiyoshi Matono, Ki-Joune Li:
Utilizing extended geocodes for handling massive three-dimensional point cloud data. World Wide Web 24(4): 1321-1344 (2021) - 2020
- [j1]Salman Ahmed Shaikh, Akiyoshi Matono, Kyoung-Sook Kim:
A Distance-Window Approach for the Continuous Processing of Spatial Data Streams. Int. J. Multim. Data Eng. Manag. 11(2): 16-30 (2020)
Conference and Workshop Papers
- 2024
- [c42]John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono:
MultiMatch: Low-Resource Generalized Entity Matching Using Task-Conditioned Hyperadapters in Multitask Learning. DaWaK 2024: 51-65 - [c41]Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Akiyoshi Matono:
Inexact Graph Representation Learning. IJCNN 2024: 1-8 - [c40]Salman Ahmed Shaikh, Hiroyuki Kitagawa, Akiyoshi Matono:
Distributed, Continuous and Real-time Trajectory Similarity Search. ISPDC 2024: 1-8 - [c39]Hailemariam Mehari Yohannes, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono:
Semi-supervised Named Entity Recognition for Low-Resource Languages Using Dual PLMs. NLDB (1) 2024: 166-180 - 2023
- [c38]Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Akiyoshi Matono:
Efficient Missing Value Imputation by Maximum Distance Likelihood. IEEE Big Data 2023: 331-338 - [c37]Steven J. Lynden, Hailemariam Mehari Yohannes, Kyoung-Sook Kim, Adam Jatowt, Akiyoshi Matono, Haitao Yu, Xin Liu, Yijun Duan:
Commonsense Temporal Action Knowledge (CoTAK) Dataset. CIKM 2023: 5361-5365 - [c36]Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns. ECAI 2023: 583-589 - [c35]Taehoon Kim, Kyoung-Sook Kim, Akiyoshi Matono:
Cell-Level Trajectory Prediction Using Time-embedded Encoder-Decoder Network. HuMob-Challenge@SIGSPATIAL 2023: 37-40 - [c34]Mehari Yohannes Hailemariam, Steven J. Lynden, Akiyoshi Matono, Toshiyuki Amagasa:
Self-Attention-based Data Augmentation Method for Text Classification. ICMLC 2023: 239-244 - [c33]John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono:
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning. IDEAS 2023: 140-147 - [c32]Yuuki Ohmroi, Hiroyuki Kitagawa, Toshiyuki Amagasa, Akiyoshi Matono:
Integration of Knowledge Bases and External Information Sources via Magic Properties and Query-Driven Entity Linking. iiWAS 2023: 309-324 - [c31]Rina Trisminingsih, Salman Ahmed Shaikh, Toshiyuki Amagasa, Hiroyuki Kitagawa, Akiyoshi Matono:
TraPM: A Framework for Online Pattern Matching Over Trajectory Streams. iiWAS 2023: 510-525 - 2022
- [c30]Salman Ahmed Shaikh, Hiroyuki Kitagawa, Akiyoshi Matono, Kyoung-Sook Kim:
TStream: a framework for real-time and scalable trajectory stream processing and analysis. SIGSPATIAL/GIS 2022: 30:1-30:4 - [c29]Masaya Yamada, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Toshiyuki Amagasa, Akiyoshi Matono:
Streaming Augmented Lineage: Traceability of Complex Stream Data Analysis. iiWAS 2022: 224-236 - [c28]Savong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Akiyoshi Matono:
PR-MVI: Efficient Missing Value Imputation over Data Streams by Distance Likelihood. iiWAS 2022: 338-351 - [c27]Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Dual Cost-sensitive Graph Convolutional Network. IJCNN 2022: 1-8 - [c26]Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs. ECML/PKDD (2) 2022: 20-36 - 2021
- [c25]Masaya Yamada, Hiroyuki Kitagawa, Toshiyuki Amagasa, Akiyoshi Matono:
Augmented Lineage: Traceability of Data Analysis Including Complex UDFs. DEXA (1) 2021: 65-77 - [c24]Yijun Duan, Adam Jatowt, Masatoshi Yoshikawa, Xin Liu, Akiyoshi Matono:
Diachronic Linguistic Periodization of Temporal Document Collections for Discovering Evolutionary Word Semantics. ICADL 2021: 3-17 - 2020
- [c23]Taehoon Kim, Wijae Cho, Akiyoshi Matono, Kyoung-Sook Kim:
PinSout: Automatic 3D Indoor Space Construction from Point Clouds with Deep Learning. SIGSPATIAL/GIS 2020: 211-214 - 2019
- [c22]Taehoon Kim, Kyoung-Sook Kim, Jun Lee, Akiyoshi Matono, Ki-Joune Li:
Efficient Encoding and Decoding Extended Geocodes for Massive Point Cloud Data. BigComp 2019: 1-8 - [c21]Salman Ahmed Shaikh, Akiyoshi Matono, Kyoung-Sook Kim:
A Distance-Window Based Real-Time Processing of Spatial Data Streams. BigMM 2019: 133-141 - [c20]Salman Ahmed Shaikh, Jun Lee, Akiyoshi Matono, Kyoung-Sook Kim:
A Robust and Scalable Pipeline for the Real-time Processing and Analysis of Massive 3D Spatial Streams. iiWAS 2019: 622-626 - [c19]Taehoon Kim, Kyoung-Sook Kim, Jun Lee, Akiyoshi Matono:
Dotloom: Toward a Decentralized Data Platform for Massive Three-Dimensional Point Clouds. ISM 2019: 255-258 - 2018
- [c18]Salman Ahmed Shaikh, Akiyoshi Matono, Kyoung-Sook Kim:
Continuous Querying over Mobile Mapping Stream. AIKE 2018: 218-223 - 2016
- [c17]Steven J. Lynden, Makoto Yui, Akiyoshi Matono, Akihito Nakamura, Hirotaka Ogawa, Isao Kojima:
Optimising Coverage, Freshness and Diversity in Live Exploration-based Linked Data Queries. WIMS 2016: 18:1-18:12 - 2015
- [c16]Akiyoshi Matono, Hirotaka Ogawa, Isao Kojima:
Improvement of Join Algorithms for Low-Selectivity Joins on MapReduce. ADC 2015: 117-128 - 2013
- [c15]Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Akihito Nakamura:
Best-effort Linked Data Query Processing with Time Constraints using ADERIS-Hybrid. ISWC (Posters & Demos) 2013: 29-32 - [c14]Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Akihito Nakamura, Makoto Yui:
A Hybrid Approach to Linked Data Query Processing with Time Constraints. LDOW 2013 - 2012
- [c13]Akiyoshi Matono, Isao Kojima:
Paragraph Tables: A Storage Scheme Based on RDF Document Structure. DEXA (2) 2012: 231-247 - 2011
- [c12]Akiyoshi Matono, Akihito Nakamura, Isao Kojima:
A Mashup Tool for Cross-Domain Web Applications Using HTML5 Technologies. APWeb 2011: 382-385 - [c11]Steven J. Lynden, Yusuke Tanimura, Isao Kojima, Akiyoshi Matono:
Dynamic Data Redistribution for MapReduce Joins. CloudCom 2011: 717-723 - [c10]Isao Kojima, Masahiro Kimoto, Akiyoshi Matono:
AIST CS-W: an OGC-based distributed geospatial search engine for heterogeneous metadata. GIS-HPDGIS 2011: 42-43 - [c9]Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Yusuke Tanimura:
ADERIS: An Adaptive Query Processor for Joining Federated SPARQL Endpoints. OTM Conferences (2) 2011: 808-817 - 2010
- [c8]Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Yusuke Tanimura:
ADERIS: Adaptively Integrating RDF Data from SPARQL Endpoints. DASFAA (2) 2010: 400-403 - [c7]Steven J. Lynden, Isao Kojima, Akiyoshi Matono, Yusuke Tanimura:
Adaptive Integration of Distributed Semantic Web Data. DNIS 2010: 174-193 - [c6]Isao Kojima, Masahiro Kimoto, Akiyoshi Matono:
OGC catalog service for heterogeneous earth observation metadata using extensible search indices. GIR 2010 - [c5]Yusuke Tanimura, Akiyoshi Matono, Steven J. Lynden, Isao Kojima:
Extensions to the Pig data processing platform for scalable RDF data processing using Hadoop. ICDE Workshops 2010: 251-256 - 2007
- [c4]Said Mirza Pahlevi, Akiyoshi Matono, Isao Kojima:
SPARQL-Based Set-Matching for Semantic Grid Resource Selection. Business Process Management Workshops 2007: 461-472 - 2006
- [c3]Akiyoshi Matono, Said Mirza Pahlevi, Isao Kojima:
RDFCube: A P2P-Based Three-Dimensional Index for Structural Joins on Distributed Triple Stores. DBISP2P 2006: 323-330 - 2005
- [c2]Akiyoshi Matono, Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura:
A Path-based Relational RDF Database. ADC 2005: 95-103 - 2003
- [c1]Akiyoshi Matono, Toshiyuki Amagasa, Masatoshi Yoshikawa, Shunsuke Uemura:
An Indexing Scheme for RDF and RDF Schema based on Suffix Arrays. SWDB 2003: 151-168
Informal and Other Publications
- 2023
- [i1]John Bosco Mugeni, Steven J. Lynden, Toshiyuki Amagasa, Akiyoshi Matono:
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning. CoRR abs/2305.18725 (2023)
Coauthor Index
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