IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Towards a Dynamic Semantic and Complex Relationship Modeling of Multimedia Data

Towards a Dynamic Semantic and Complex Relationship Modeling of Multimedia Data
View Sample PDF
Author(s): Dawen Jia (Carleton University, Canada) and Mengchi Liu (Carleton University, Canada)
Copyright: 2012
Pages: 16
Source title: Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies
Source Author(s)/Editor(s): Li Yan (Northeastern University, China) and Zongmin Ma (Northeastern University, China)
DOI: 10.4018/978-1-61350-126-9.ch010

Purchase

View Towards a Dynamic Semantic and Complex Relationship Modeling of Multimedia Data on the publisher's website for pricing and purchasing information.

Abstract

Multimedia data is a challenge for data management. The semantics of traditional alphanumeric data are mostly explicit, unique, and self-contained, but the semantics of multimedia data are usually dynamic, diversiform, and varying from one user’s perspective to another’s. When dealing with different applications in which multimedia data is involved, great challenges arise. We first introduce a novel data model called Information Networking Model (INM), which can represent the dynamic and complex semantic relationships of the real world. In this chapter, we show how to use INM to capture dynamic and complex semantics relationship of multimedia data. Using INM, we present a multimedia modeling mechanism. The general idea of this novel mechanism is to place the multimedia data in a complex semantic environment based on the real world or application requirements, and then users can make use of both contextual semantics and multimedia metadata to retrieve the precise results they expect.

Related Content

Top-k Relevant Term Suggestion Approach for Relational Keyword Search
Xiangfu Meng, Xiaoyan Zhang, Chongchun Bi. © 2016. 24 pages.
View Details View Details PDF Full Text View Sample PDF
Set-Oriented Queries in SQL
Antonio Badia. © 2016. 24 pages.
View Details View Details PDF Full Text View Sample PDF
Evaluating Top-k Skyline Queries on R-Trees
Marlene Goncalves, Fabiana Reggio, Krisvely Varela. © 2016. 39 pages.
View Details View Details PDF Full Text View Sample PDF
Processing of Queries with Fuzzy Similarity Domains
Soraya O. Carrasquel, Ricardo R. Monascal, Rosseline Rodríguez, Leonid Tineo. © 2016. 41 pages.
View Details View Details PDF Full Text View Sample PDF
Modeling and Querying Fuzzy Data: Current Approaches and Future Trends
Li Yan, Z. M. Ma. © 2016. 29 pages.
View Details View Details PDF Full Text View Sample PDF
Fuzzy XQuery: A Real Implementation
José Ángel Labbad, Ricardo R. Monascal, Leonid Tineo. © 2016. 41 pages.
View Details View Details PDF Full Text View Sample PDF
Probabilistic Ranking Method of XML Fuzzy Query Results
Wei Yan. © 2016. 24 pages.
View Details View Details PDF Full Text View Sample PDF
Body Bottom