Towards a Graph-based Data Model for Semantics Evolution

Li, Xuhui; Sun, Dewang; Liu, Mengchi; Qian, Tieyun; Ma, Feicheng

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https://hdl.handle.net/2142/98872 Copy

Description

Title

Towards a Graph-based Data Model for Semantics Evolution

Author(s)

• Li, Xuhui
• Sun, Dewang
• Liu, Mengchi
• Qian, Tieyun
• Ma, Feicheng

Issue Date

2017

Keyword(s)

• Semantics evolution
• Semantic Data Model
• Meaning-oriented approach
• Graph data modeling

Abstract

Semantic information comes from the things being recognized and understood gradually, and thus it is often in evolution during the modeling process. Existing semantic models usually describe the objects and the relationships in an application-oriented way, which is unsuitable to reuse the schemas during the semantics evolution. In this paper, we propose a new graph-based semantic data model to overcome the limitation. SemGraph adopts a meaning-oriented approach to specifying the subjective view of the things and uses the certain meta-meaning relationships to build a graph-based semantic model. The model is simple but expressive, and is especially fit for the semantics evolution. We introduce the basic concepts and the essential mechanisms of the model, demonstrate its features with examples and typical cases of semantics evolution.

Publisher

iSchools

Series/Report Name or Number

iConference 2017 Proceedings Vol. 2

Type of Resource

text

Language

en

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http://hdl.handle.net/2142/98872

Copyright and License Information

Copyright 2017 is held by the authors.

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