A Context Centric Model for building a Knowledge advantage Machine Based on Personal Ontology Patterns

Implementation and Evaluation of Personal Ontology Building System with Virtual Agent

Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-030-22219-2_30 ◽

2019 ◽

pp. 391-403

Author(s):

Shota Nakatani ◽

Sachio Saiki ◽

Masahide Nakamura ◽

Kiyoshi Yasuda

Keyword(s):

Virtual Agent ◽

Personal Ontology ◽

Ontology Building ◽

Building System

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A personal ontology of an individual occupational experience

2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT) ◽

10.1109/icaict.2014.7036004 ◽

2014 ◽

Author(s):

Petr Sosnin

Keyword(s):

Personal Ontology

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SPREADING ACTIVATION OVER ONTOLOGY-BASED RESOURCES: FROM PERSONAL CONTEXT TO WEB SCALE REASONING

International Journal of Semantic Computing ◽

10.1142/s1793351x10000973 ◽

2010 ◽

Vol 04 (01) ◽

pp. 59-102 ◽

Cited By ~ 8

Author(s):

ALAN DIX ◽

AKRIVI KATIFORI ◽

GIORGOS LEPOURAS ◽

COSTAS VASSILAKIS ◽

NADEEM SHABIR

Keyword(s):

User Interaction ◽

Knowledge Bases ◽

Spreading Activation ◽

Personal Ontology ◽

Highly Active ◽

The Social ◽

Web Of Data ◽

Working Set ◽

Personal Context ◽

Model Context

This paper describes methods to allow spreading activation to be used on web-scale information resources. Existing work has shown that spreading activation can be used to model context over small personal ontologies, which can be used to assist in various user activities, for example, in auto-completing web forms. This previous work is extended and methods are developed by which large external repositories, including corporate information and the web, can be linked to the user's personal ontology and thus allow automated assistance that is able to draw on the entire web of data. The basic idea is to augment the personal ontology with cached data from external repositories, where the choice of data to fetch or discard is related to the level of activation of entities already in the personal ontology or cached data. This relies on the assumption that the working set of highly active entities is relatively small; empirical results are presented, which suggest these assumptions are likely to hold. Implications of the techniques are discussed for user interaction and for the social web. In addition, warm world reasoning is proposed, applying rule-based reasoning over activated entities, potentially merging symbolic and sub-symbolic reasoning over web-scale knowledge bases.

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