Satoshi Kobayashi

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Satoshi Kobayashi is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Multi-level human robot interaction by aligning different ontologies Behavior Ontology
Human-Robot Interaction
Ontology Alignment
Wikipedia Ontology
Frontiers in Artificial Intelligence and Applications English 2012 This paper discusses how to align different kinds of ontologies: Japanese Wikipedia Ontology, Behavior Ontology and Robot Kinematics Ontology with built-in software, in order to design Multi-Level HRI (Human Robot Interaction). The multi-level interaction includes three-way interactions: knowledge-level interaction with dialog and fact type QA, behavior-level interaction between a user and a humanoid robot, and task-level interaction with multi robot coordination to do a task given from a user. Japanese Wikipedia Ontology works for language-level interaction, Behavior Ontology works for bridging the gaps between human behavior and robot one. Robot behavior goes well with Robot Kinematics. More complicated interaction can be done where three-way interactions invoke each other. Case studies show us that children in elementary school and elder persons enjoy the Multi-Level HRI. © 2012 The authors and IOS Press. All rights reserved. 0 0
Intelligent humanoid robot with Japanese Wikipedia Ontology and Robot Action Ontology Action
Dialogue
Japanese speech interface
Japanese Wikipedia Ontology
Robot action ontology
Semantic web
HRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction English 2011 WioNA (Wikipedia Ontology NAo) is proposed to build much better HRI by integrating four elements: Japanese speech interface, semantic interpretation, Japanese Wikipedia Ontology and Robot Action Ontology. WioNA is implemented on a humanoid robot "Nao". In WioNA, we developed two ontologies: Japanese Wikipedia Ontology and Robot Action Ontology. Japanese Wikipedia Ontology has a large size of concept hierarchy and instance network with many properties from Japanese Wikipedia (semi) automatically. By giving Japanese Wikipedia Ontology to Nao as wisdom, Nao can dialogue with users on many topics of various fields. Robot Action Ontology, in contrast, is built by organizing various performable actions of Nao to control and generate robot actions. Aligning Robot Action Ontology with Japanese Wikipedia Ontology enables Nao to perform related actions to dialogue topics. To show the validities of WioNA, we describe human-robot conversation logs of two case studies whose dialogue topics are sport and rock singer. These case studies show us how HRI goes well in WioNA with these topics. Copyright 2011 ACM. 0 0
Semantic Wiki as a lightweight knowledge management system MediaWiki
Metadata
RDF
Semantic wiki
Wiki
Lecture Notes in Computer Science English 2006 Since its birth in 1995, Wild has become more and more popular. This paper presents a Semantic Wiki, a Wiki extended to include the ideas of Semantic Web. The proposed Semantic Wiki uses a simple Wiki syntax to write labeled links which represent RDF triples. By enabling the writing of labeled links, Semantic Wiki may provide an easy-to-use and flexible environment for an integrated management of content and metadata, so that Semantic Wiki may be used as a lightweight knowledge management system. 0 0
Semantic wiki as a lightweight knowledge management system RDF
MediaWiki
Metadata
Semantic wiki
Wiki
ASWC English 2006 0 0
Towards a semantic wiki-based japanese biodictionary CEUR Workshop Proceedings English 2006 This paper describes an on-going project to develop and maintain a web-based Japanese Biodictionary within a Semantic Wiki environment. For the development of the dictionary, MediaWiki is extended to enable the writing of labeled links that represent RDF triples. The extension enables Semantic Wiki to provide not only collaborative environment for experts in various biology fields to create and edit the dictionary, but also the navigation support to manage relations between terms. Using a simple wiki syntax, people can develop and maintain the dictionary visually and easily. 0 0