Encoding Semantic Awareness in Resource-Constrained Devices

With the semantic Web relying on ontologies to establish online machine- interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities' discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart i...

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Vydáno v:IEEE intelligent systems Ročník 23; číslo 2; s. 26 - 33
Hlavní autoři: Preuveneers, D., Berbers, Y.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Los Alamitos IEEE 01.03.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
algorithms for data and knowledge management
Ambient intelligence
Artificial intelligence
Computation
Computer architecture
Context awareness
Devices
Encoding
Intelligent agents
Intelligent systems
Internet
Large-scale systems
Machine intelligence
On-line systems
Ontologies
Ontology
ontology languages
Pervasive computing
Representations
Semantic Web
Semantics
ISSN:1541-1672, 1941-1294
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Abstract With the semantic Web relying on ontologies to establish online machine- interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities' discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart interaction beyond the Internet by embedding intelligence into our environment to unobtrusively support users' daily activities. To accomplish these goals, ontologies and semantic awareness are crucial for better understanding a user's context. While interest in the Semantic Web has spurred the development of large-scale semantic grid architectures, expanding the Semantic Web to the other side of the computing spectrum is a complex undertaking. The techniques and tools that support the semantic Web aren't designed to deal with the resource-constrained devices with which people frequently interact in an ambient-intelligence environment. To counter this disadvantage, we developed a coding scheme for ontologies that embeds semantic awareness in devices with limited memory and processing capabilities, such as sensory nodes and smart phones. This scheme provides a compact representation of an ontology and is enhanced with an efficient and effective semantic-matching algorithm.
AbstractList With the semantic Web relying on ontologies to establish online machine- interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities' discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart interaction beyond the Internet by embedding intelligence into our environment to unobtrusively support users' daily activities. To accomplish these goals, ontologies and semantic awareness are crucial for better understanding a user's context. While interest in the Semantic Web has spurred the development of large-scale semantic grid architectures, expanding the Semantic Web to the other side of the computing spectrum is a complex undertaking. The techniques and tools that support the semantic Web aren't designed to deal with the resource-constrained devices with which people frequently interact in an ambient-intelligence environment. To counter this disadvantage, we developed a coding scheme for ontologies that embeds semantic awareness in devices with limited memory and processing capabilities, such as sensory nodes and smart phones. This scheme provides a compact representation of an ontology and is enhanced with an efficient and effective semantic-matching algorithm.
With the Semantic Web relying on ontologies to establish online machine-interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities' discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart interaction beyond the Internet by embedding intelligence into our environment to unobtrusively support users' daily activities. To accomplish these goals, ontologies and semantic awareness are crucial for better understanding a user's context. While interest in the Semantic Web has spurred the development of large-scale semantic grid architectures, expanding the Semantic Web to the other end of the computing spectrum is a complex undertaking. The techniques and tools that support the Semantic Web aren't designed to deal with the resource-constrained devices with which people frequently interact in an ambient-intelligence environment. A proposed coding scheme for ontologies embeds semantic awareness in devices with limited memory and processing capabilities, such as sensory nodes and smart phones. This scheme provides a compact representation of an ontology and is enhanced with an efficient and effective semantic-matching algorithm similar to subsumption testing in many ontology reasoners. Adapted from the source document.
With the Semantic Web relying on ontologies to establish online machine-interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities' discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart interaction beyond the Internet by embedding intelligence into one's environment to unobtrusively support users' daily activities. To accomplish these goals, ontologies and semantic awareness are crucial for better understanding a user's context. Here, Preveneers and Berbers discuss how they developed a coding scheme for ontologies that embeds semantic awareness in devices with limited memory and processing capabilities, such as sensory nodes and smart phones.
With the semantic Web relying on ontologies to establish online machine- interpretable information, the Internet is growing into a semantically aware computing paradigm that facilitates Web entities discovery of the knowledge and resources they need. Ambient intelligence aims to enable smart interaction beyond the Internet by embedding intelligence into our environment to unobtrusively support users daily activities. To accomplish these goals, ontologies and semantic awareness are crucial for better understanding a users context. While interest in the Semantic Web has spurred the development of large-scale semantic grid architectures, expanding the Semantic Web to the other side of the computing spectrum is a complex undertaking. The techniques and tools that support the semantic Web arent designed to deal with the resource-constrained devices with which people frequently interact in an ambient-intelligence environment. To counter this disadvantage, we developed a coding scheme for ontologies that embeds semantic awareness in devices with limited memory and processing capabilities, such as sensory nodes and smart phones. This scheme provides a compact representation of an ontology and is enhanced with an efficient and effective semantic- matching algorithm.
Author Preuveneers, D.
Berbers, Y.
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10.1007/978-0-387-34685-4_10
10.1007/978-3-540-30473-9_15
10.1016/j.websem.2007.03.004
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SubjectTerms Algorithms
algorithms for data and knowledge management
Ambient intelligence
Artificial intelligence
Computation
Computer architecture
Context awareness
Devices
Encoding
Intelligent agents
Intelligent systems
Internet
Large-scale systems
Machine intelligence
On-line systems
Ontologies
Ontology
ontology languages
Pervasive computing
Representations
Semantic Web
Semantics
Title Encoding Semantic Awareness in Resource-Constrained Devices
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