Shusaku Egami

National Institute of Advanced Industrial Science and Technology · Artificial Intelligence Research Center

In recent years, entertainment content, such as movies, music, and anime, has been gaining attention due tothe stay-at-home demand caused by the expansion of COVID-19. In the content domain, research in the field ofknowledge representation is primarily concerned with accurately describing metadata. Therefore, different knowledgerepresentations are...

Entity Linking (EL) is a technology that links mentions (context-dependent token sequences that may refer to specific entities) in a text to corresponding entities in a knowledge base. It serves as a foundational technology in knowledge processing and natural language processing. Most research on EL focuses on English, and there is little research...

Multi-modal knowledge graphs (MMKGs), which ground various non-symbolic data (e.g., images and videos) into symbols, have attracted attention as resources enabling knowledge processing and machine learning across modalities. However, the construction of MMKGs for videos consisting of multiple events, such as daily activities, is still in the early...

We used a 3D simulator to create artificial video data with standardized annotations, aiming to aid in the development of Embodied AI. Our question answering (QA) dataset measures the extent to which a robot can understand human behavior and the environment in a home setting. Preliminary experiments suggest our dataset is useful in measuring AI's c...

This paper focuses on enhancing the safety of older adults in their home environment by analyzing and distinguishing between abnormal and normal states in their daily living activities. We initially propose simulating virtual abnormal and everyday activities to address the challenge of limited real-world datasets containing abnormal activities. The...

Public health authorities perform contact tracing for highly contagious agents to identify close contacts with the infected cases. However, during the pandemic caused by coronavirus disease 2019 (COVID-19), this operation was not employed in countries with high patient volumes. Meanwhile, the Japanese government conducted this operation, thereby co...

Human activity data from cameras and sensors have potential applications in diverse domains. However, annotation quality varies, and label inconsistency remains a challenge. Annotators’ different interpretations also cause other issues. In this paper, we proposed an approach for analyzing the annotation quality for videos of human activities focusi...

Public health authorities perform contact tracing for highly contagious agents to identify close contacts with the infected cases. However, during the pandemic caused by coronavirus disease 2019 (COVID-19), this operation was not employed in countries with high patient volumes. Meanwhile, the Japanese government conducted this operation, thereby co...

Artificial intelligence (AI) is expected to be embodied in software agents, robots, and cyber-physical systems that can understand the various contextual information of daily life in the home environment to support human behavior and decision making in various situations. Scene graph and knowledge graph (KG) construction technologies have attracted...

Knowledge Graphs (KGs) such as Resource Description Framework (RDF) data represent relationships between various entities through the structure of triples (< subject , predicate , object >). Knowledge graph embedding (KGE) is crucial in machine learning applications, specifically in node classification and link prediction tasks. KGE remains a...

Urban areas have many problems, including homelessness, graffiti, and littering. These problems are influenced by various factors and are linked to each other; thus, an understanding of the problem structure is required in order to detect and solve the root problems that generate vicious cycles. Moreover, before implementing action plans to solve t...

For data-driven decision making, it is essential to build a data infrastructure that stores various data. Since various data are accumulated within organizations such as universities, companies, and local governments, integration of data in different contexts and cross-sectional analysis are issues. Knowledge graphs with a graphical structure that...

The current ground-based collaboration environment is not sufficient to enable the full range of benefits defined in the ICAO Global Air Navigation Plan (GANP). In order to achieve a safe, secure, high-performing, and sustainable global air traffic management, the collaborative information exchange should be achieved for not only ground operational...

With the advancement of information and communication technologies, to improve the interoperability between heterogeneous information systems by regularizing the syntax for information exchange is essential to achieve global seamless air traffic management operation. However, the current point-to-point aviation related information exchange among di...

A new challenge for knowledge graph reasoning started in 2018. Deep learning has promoted the application of artificial intelligence (AI) techniques to a wide variety of social problems. Accordingly, being able to explain the reason for an AI decision is becoming important to ensure the secure and safe use of AI techniques. Thus, we, the Special In...

Maps of science visualizing the structure of science help us analyze the current spread of science, technology, and innovation (ST&I). ST&I enterprises can use the maps of science as competitive technical intelligence to anticipate changes, especially those initiated in their immediate vicinity. Research laboratories and universities can understand...

A new challenge for knowledge graph reasoning started in 2018. Deep learning has promoted the application of artificial intelligence (AI) techniques to a wide variety of social problems. Accordingly, being able to explain the reason for an AI decision is becoming important to ensure the secure and safe use of AI techniques. Thus, we, the Special In...

Maps of science representing the structure of science can help us understand science and technology (S&T) development. Studies have thus developed techniques for analyzing research activities’ relationships; however, ongoing research projects and recently published papers have difficulty in applying inter-citation and co-citation analysis. Therefor...

The illegal parking of bicycles is a serious urban problem in Tokyo. The purpose of this study was to sustainably build Linked Open Data (LOD) to assist in solving the problem of illegally parked bicycles (IPBs) by raising social awareness, in cooperation with the Office for Youth Affairs and Public Safety of the Tokyo Metropolitan Government (Toky...

Maps of science representing the structure of science can help us understand science and technology (S&T) development. Thus, research in scientometrics has developed techniques for analyzing research activities and for measuring their relationships; however, navigating the recent scientific landscape is still challenging, since conventional inter-c...

Recently, bicycle-related accidents, e.g., collision accidents at intersection increase and account for approximately 20% of all traffic accidents in Japan; thus, it is regarded as one of the serious social problems. However, the Traffic Accident Occurrence Map released by the Japanese Metropolitan Police Department is currently based on accident i...

There are various urban problems, such as suburban crime, dead shopping street, and littering. However, various factors are socially intertwined; thus, structural management of the related data is required for visualizing and solving such problems. Moreover, in order to implement the action plans, local governments first need to grasp the cost-effe...

The illegal parking of bicycles has been an urban problem in Tokyo and other urban areas. We have sustainably built a Linked Open Data (LOD) relating to the illegal parking of bicycles (IPBLOD) to support the problem solving by raising social awareness. Also, we have estimated and complemented the temporally missing data to enrich the IPBLOD, which...

There has been extensive research on music information retrieval (MIR), such as signal processing, pattern mining, and information retrieval. In such studies, audio features extracted from music are commonly used, but there is no open platform for data collection and analysis of audio features. Therefore, we build the platform for the data collecti...

The purpose of this study is to develop Linked Open Data (LOD) for social problems sustainably, and to support social problem solving by raising social awareness for the problems. In this paper, we focus on illegally parked bicycles as an example. First, we extracted information on the problem factors and designed LOD schema of the illegally parked...

The illegal parking of bicycles is an urban problem in Tokyo and other urban areas. The purpose of this study was to sustainably build Linked Open Data (LOD) for the illegally parked bicycles and to support the problem solving by raising social awareness, in cooperation with the Bureau of General Affairs of Tokyo. We first extracted information on...

The illegal parking of bicycles is becoming an urban problem in Japan and other countries. We believe the data publication of such urban problems on the Web as Open Data will contribute to solving the problems. However, Open Data sets available for the illegally parked bicycles are coarse and in various formats, and then it is difficult to develop...

Illegally parked bicycles are a social problem in Japan and other countries. Illegally parked bicycles obstruct vehicles, cause road accidents, encourage thefts, and disfigure streets. In order to solve the challenge posed by illegally parked bicycles, we realized that it is necessary to collect and republish the data as reusable format. Therefore,...

A wide variety of mechanical parts are used as products in the area of manufacturing. The code systems of product information are necessary for realizing Electronic Data Interchange (EDI) of business-to-business. However, each code systems are designed and maintained by different industry associations. Thus, we built an industrial parts Linked Open...