(Japanese/English)
Listed below are the employers of our graduates (including subsequent employers), visiting researchers, and the thesis topics of former members.
NTT DATA Corporation; Fujitsu Limited; NTT Communications Corporation; NEC Corporation; Japan Broadcasting Corporation (NHK); The Japan Research Institute, Limited; FUJIFILM Business Innovation Corp. [2]; NTT Advanced Technology Corporation; NEC Platforms, Ltd.; NTT DATA FRONTIER Corporation; Yahoo Japan Corporation [3]; KOEI TECMO HOLDINGS CO., LTD.; Information Technology R&D Center, Mitsubishi Electric Corporation; Shinsei Bank, Limited; Corporate Research & Development Center, Toshiba Corporation; and others
JSPS Fellow Michaël Thomazo (France) June 22 – August 22, 2011
Hayate Takahashi (高橋 颯): Two-Stage Ontology Completion Using Candidate Selection by Knowledge Graph Embedding and Language Models
Yuto Hino (日野 雄斗): Improving the Efficiency of Population Graphs Using Homophily for Graph Neural Networks
Hiroki Kamijo (上條 寛貴): Ontology Concept Subsumption Prediction Using the Integration of Different Knowledge Embeddings
Shigeki Tsukada (塚田 成貴): Entity Initialization for Knowledge Graphs by Combining Corpus-Based Embeddings and Contextualized Language Models
Ziqi Tian (田 梓岐): Few-Shot Textual Entailment via Prototype Augmentation Using Competing Contexts
Yusuke Yoshitake (吉竹 裕亮): Efficient Training of NeuralWalker through Training Data Selection
Ayu Iijima (飯島 彩友): Embedding Learning of Concept Hierarchies Considering the Logical Structure and Lexical Information of Ontologies
Yuki Iwamoto (岩本 有生): Inductive Relation Prediction by Re-ranking from Different Perspectives
Koki Yoshinaga (吉永 康希): Improving the Efficiency of Population Graphs Using Homophily for Graph Neural Networks
Atsushi Sakai (坂井 温): Reflecting Ontology Hierarchical Structures in Knowledge Graph Embedding Learning
Naoya Honda (本田 直也): Training Graph Neural Networks by Partitioning Graph Structures
Yukihiro Shiraishi (白石 幸寛): Embedding Models with Self-Matching Training and Annotations for Subsumption Prediction
Takashi Someya (染谷 崇): Accelerating Feature Selection Methods for Graph Structures
Yuto Yamanaka (山中 佑斗): An Embedding Method Based on Geometric Interpretation for Logical Reasoning on Concept Subsumption
Hayate Takahashi (高橋 颯): Entity Typing Using Hyperrectangle Embeddings and Edge Overlap
Yuto Hino (日野 雄斗): Homophily-Based Rewiring in Graph Neural Networks
Yuga Oishi (大石 悠河): Graph Neural Networks Based on Multi-Duplicated Characterization of Graph Structures Using the Information Gain Ratio (IGR)
Yuya Kawagoe (川越 悠矢): Link and Fact Prediction Using DBpedia Japanese
Masahiro Goto (後藤 理宏): Flexible Converging-Path Search Using Search Patterns
Ayu Iijima (飯島 彩友): Embedding Learning for Concept Subsumption Using Word and Image Data
Yuki Iwamoto (岩本 有生): Applying Retrieval-Augmented Language Models to Knowledge Graphs
Sota Nishikawa (西川 爽太): Accelerating Path Search between Resources on RDF Graphs
Koki Yoshinaga (吉永 康希): Classification of Medical Data Using Graph Neural Networks
Yuki Odaka (小高 祐輝): Arousal Estimation and Sentiment Analysis by Semi-Supervised Learning Using Block-Segmentation Vectors
Daiki Takahashi (高橋 大樹): Satisfiability Checking for Description Logics Using SAT Solvers
Yota Minami (南 陽太): Classification Learning with Vector Representations Extracted from Graph Data
Yukihiro Shiraishi (白石 幸寛): Embedding Models for Logical Reasoning on Concept Instances and Binary Relations
Takashi Someya (染谷 崇): Extending Feature Vector Representations for Graph Data
Yuto Yamanaka (山中 佑斗): Machine Learning of Path Queries Using Embedding Models
Yuga Oishi (大石 悠河): Applying RDF Data to GNNs (Convolutional Neural Networks) and Restricting Features
Masahiro Goto (後藤 理宏): Node Classification of RDF Graphs Using Composite Triples and Graph Embeddings
Akito Sueki (末木 顕人): Ontology Mapping of Complex Predicate Expressions in RDF Data
Kenta Hirayama (平山 健太): Efficient Duplicate Elimination and Query Rewriting in SPARQL Query Answering
Yuki Yamanaka (山中 佑紀): Converging-Path Search Integrating Multiple Large-Scale RDF Datasets
Hiroki Nakata (中田 央輝): Extracting Description Logic Knowledge Bases from Japanese Sentences
Shinnosuke Akaishi (赤石 眞之介): Inferring Paths Equivalent to Binary Relations in RDF Data
Yuki Odaka (小高 祐輝): Extracting Emotion Rules from Events Using Rough Set Theory
Daiki Takahashi (高橋 大樹): Reinforcement Learning by Monte Carlo Tree Search Using Both State Values and Action Values
Yota Minami (南 陽太): Diverse Feature Vectors Extracted from RDF Graphs
Ryo Suzuki (鈴木 諒): Pattern Mining for Web Text Data
Kentaro Tanabe (田邉 憲太朗): Ontology Construction from Japanese Text
Daichi Yamazaki (山崎 大地): Implementation of RDF Query Parsing and Processing
Daichi Arai (荒井 大地): Kernel Learning for Query Answering over RDF Graphs
Yoshiki Hamamatsu (濱松 良樹): Faster and More Memory-Efficient Keyword Search over RDF Graphs
Miki Hirohashi (廣橋 美紀): Graph Pattern Mining for RDF Data
Ryutaro Ishii (石井 隆太郎): Blog Classification by Feature Extraction Using WordNet
Akito Sueki (末木 顕人): Generating DBpedia RDF Triples from Japanese Sentences
Kenta Hirayama (平山 健太): Design of Aggregate Functions and Query Rewriting in SPARQL
Yuki Yamanaka (山中 佑紀): Semantic Search of Web Documents Using Multiple Large-Scale RDF Datasets
Toshiyuki Kagawa (香川 俊幸): Compression and Loading Methods for RDF Data Stores
Yuji Takeda (武田 祐司): A Question Answering System for Natural-Language Questions over RDF Data
Daiki Iizuka (飯塚 大貴): Resource Classification and Attribute Estimation Using SVMs for Wikidata
Ryo Suzuki (鈴木 諒): Acquisition of Relation Patterns for Semantic Information Retrieval
Rikuo Takahama (高浜 陸生): A Fast Boosting Algorithm for Web Page Classification
Kentaro Tanabe (田邉 憲太朗): Ontology Construction from Japanese Text
Daichi Arai (荒井 大地): Kernel Functions for Redundant Feature Representations of RDF Data
Yuhi Sato (佐藤 雄飛): Rule Generation for Description Logics by Minimal Model Reasoning
Yoshiki Hamamatsu (濱松 良樹): Keyword Search over Large-Scale RDF Graphs
Miki Hirohashi (廣橋 美紀): Accelerating the Answering of Variable-Join Queries over RDF Data
Yutaro Yoshimura (吉村 悠太郎): Semantic Extraction of Feature Vectors for Text Classification
Takuma Nagai (長井 拓馬): Concept Learning in the Description Logic ALCH(D) Based on Minimal Model Reasoning over RDF Data
Koji Fujiwara (藤原 浩司): Efficient Storage and Query Answering for Large-Scale RDF Data
Junpei Oishi (大石 純平): Development of a Tableau-Based Theorem Prover for Intuitionistic Propositional Logic
Toshiyuki Kagawa (香川 俊幸): RDF Data Compression by Combining Resource Occurrence Frequency and Front Coding
Yuji Takeda (武田 祐司): Decompression-Free Query Answering over Logically Compressed RDF Data
Kazuki Hayakawa (早川 和揮): Distributed Processing of Query Answering over Large-Scale RDF Data
Tatsuya Yoshihara (吉原 達也): Recommendation of User Activity Information from Web Data Using Rough Sets
Takamasa Abe (阿部 貴雅): Semantic Similarity in Semantic Web Data and Its Application to Music Recommendation
Haruka Tazawa (田澤 遥香): Reasoning from Information Systems with Ambiguity Using Rough Sets
Takaaki Kikuchi (菊池 隆明): Performance Evaluation of RDF Query Answering with MySQL
Kenta Sasaki (佐々木 健太): Automatic Generation of SPARQL Queries from the Constituents of Question Sentences
Takeshi Sugawara (菅原 剛史): Data Extraction from Web Pages and Query Search Using Ontologies
Takuma Nagai (長井 拓馬): Concept Learning Using Negation as Failure for RDF Data
Koji Fujiwara (藤原 浩司): Efficient Query Answering for Large-Scale RDF Graphs
Takamasa Abe (阿部 貴雅): Semantic Similarity Evaluation Based on RDF and RDF Schema and Its Application to Music Recommendation
Ryoma Osuga (大須賀 竜馬): Query Search Using Reasoning in Distributed Ontology Environments
Ukyo Shimizu (清水 右郷): Semantic Completion of Keyword Search Using RDF Schema Reasoning
Haruka Tazawa (田澤 遥香): Retrieval of and Reasoning about Product Information in Augmented Reality