An ontology controlled data fusion process for a query language

Horney, Tobias; Jungert, Erland; Folkesson, Martin

doi:10.1109/icif.2003.177492

Cited by 11 publications

(5 citation statements)

References 10 publications

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“…One of the trends in this direction that became prevalent in recent years is that of using ontology-based computing as a paradigm on which to develop computer based situation awareness processes (cf. [4][5][6][7][8][9][10][11][12][13][14]). Although all of these efforts are based on ontologies as the main representational structure, they lack commonality in the repertoire of concepts used in the analysis and the synthesis of situation awareness processing.…”

Section: Introductionmentioning

confidence: 98%

Ontology-based situation awareness

Kokar¹,

Matheus²,

Bacławski³

2009

Information Fusion

213

108

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Section: Introductionmentioning

confidence: 98%

Ontology-based situation awareness

Kokar¹,

Matheus²,

Bacławski³

2009

Information Fusion

213

108

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“…The structure in Fig. 4 is an extension to the ontology described in [14] which is related to work discussed in [18,19] that in both cases discuss work where the aim is to develop ontologies for situation awareness. Context Source, refers to the actual geographical background while Perception Source refers to the sensor data sources.…”

Section: Context Sensitive Object Assessmentmentioning

confidence: 99%

“…The ontology in Fig. 4 is just a fraction of the ontology discussed in [14] that basically is used for logical description of all possible data sources that can be used to deliver input data to the queries.…”

Section: Context Sensitive Object Assessmentmentioning

confidence: 99%

“…The system is therefore intended to handle objects that are one-of-akind, singular, or with uncertain and/or uninformative belief values. To accomplish this, any information peculiar to an object in the application domain must be stored in the ontology [14,15], and any information peculiar to spatial/ temporal reasoning must be stored in the rule base (see Fig. 3).…”

Section: System Overviewmentioning

confidence: 99%

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A progressive query language and interactive reasoner for information fusion support

Chang¹,

Jungert²,

Li³

2007

Information Fusion

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“…The use of ontologies, however, is not limited to the Web, and ontologies have recently been introduced into higher-level information fusion where they provide a mechanism for describing and reasoning about sensor data, objects, relations and general domain theories (cf. [1,2,3,4,5,6,7,8,9]). …”

Section: Introductionmentioning

confidence: 99%

Use Cases for Ontologies in Information Fusion

Kokar

Matheus²,

Bacławski³

et al. 2006

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-Ontologies are becoming increasingly popular due to recent efforts to extend the capabilities of the World Wide Web through the addition of formal semantics. While ontologies have traditionally been used as precise languages to facilitate efficient exchange of information among people, the "Semantic Web" is extending this role to software agents. For this to be possible, ontologies must be formalized in languages processable by computers, such as OWL, the W3C's Web Ontology Language. The purpose of OWL ontologies is to permit software agents to understand web content and to interact intelligently with Web services (which may themselves be software agents). The use of such ontologies, however, need not be constrained to the Web. Recently, ontologies have found their way into higher-level information fusion where they are providing a means for describing and reasoning about sensor data, objects, relations and general domain theories. To the best of our knowledge, there is as of yet no documented effort to capture the main uses of ontologies in information fusion. In this paper we start filling this void by presenting a number of "use cases," i.e., scenarios of the use of ontologies in the context of higher-level information fusion. In this paper we develop use cases in which ontologies are used both for the fusion process itself and for the development of fusion systems. The use cases cover scenarios in which the agent roles are played by people, software or both.

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An ontology controlled data fusion process for a query language

Cited by 11 publications

References 10 publications

Ontology-based situation awareness

Ontology-based situation awareness

A progressive query language and interactive reasoner for information fusion support

Use Cases for Ontologies in Information Fusion

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