Abstract
With the rapid development and popularization of web services, the available information types and structure are becoming more and more complex and challenging. Actually web services involve the need for dynamic integration and transparent knowledge integration, in light of the urgent information changing track. Under this situation, the traditional search engine and information integration cannot finish this challenge, thereby bringing the opportunity for knowledge fusion and synchronization. This paper proposes a multi-matching strategy ontology mapping method for web information, i.e., ubiquitous ontology mapping method (U-Mapping), which can be viewed as a base collection of information on multiple ontologies made to appear anytime and everywhere. This approach is usually built independently by different information providers, avoiding the grammatical and semantic conflict. Finally, the ontology case information can be utilized under the consolidation of the U-Mapping, concerning language technology and machine learning methods.
Highlights
Ubiquitous computing is a concept in computer science and software engineering, where computing is made to appear anytime and everywhere
This paper proposes a multi-matching strategy ontology mapping method for web information, i.e., ubiquitous ontology mapping method (U-Mapping), which can be viewed as a base collection of information on multiple ontologies made to appear anytime and everywhere
This paper builds the ubiquitous ontology mapping, which is to find the semantic links of the concepts, achieving the purpose of sharing multiple sources of information
Summary
Ubiquitous computing is a concept in computer science and software engineering, where computing is made to appear anytime and everywhere. In terms of ambient intelligence, the information source is often to build a collection of information communicating with each other over web technologies [1] [2]. To achieve information sharing and communication purposes, it is the ontology that can establish semantic mapping with entities interrelationships that really or fundamentally exist for a particular domain of discourse. In order to achieve the information exchange, it is necessary to establish semantic mapping. Due to the independent autonomy of the information source, the ontologies can be built by different people, thereby having semantic conflict due to ontological diversity. This paper builds the ubiquitous ontology mapping, which is to find the semantic links of the concepts, achieving the purpose of sharing multiple sources of information
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