Semantic enrichment of DNOTAMs to reduce information overload in pilot briefings

Steiner, Dieter; Kovacic, Ilko; Burgstaller, Felix; Schrefl, Michael; Friesacher, Thomas; Gringinger, Eduard

doi:10.1109/icnsurv.2016.7486359

Cited by 11 publications

(10 citation statements)

References 3 publications

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“…Rule-based approaches may serve to collect ATM data items into different semantic containers that are then arranged in ATM information cubes. The SemNOTAM project (7) , for example, has investigated the possibility to filter DNOTAMs and create DNOTAM annotations that indicate importance of DNOTAMs for specific flights. The SemNOTAM engine (14) employs ObjectLogic (23) -an extension of F-Logic (24) -to implement rules for automatic filtering and annotation of DNOTAMs.…”

Section: Methodsmentioning

confidence: 99%

“…In this regard, we assume the existence of appropriate rule-based filtering mechanisms to collect ATM information into the containers. The SemNOTAM classification rules (7) , for example, provide a first reduction of the information overload in pilot briefings by packaging DNOTAMs into collections of containers, analogous to OLAP cubes. Leveraging the hierarchical organisation of containers, the individual containers can be merged along the dimension hierarchies in order to obtain more comprehensive containers of ATM information.…”

Section: Introductionmentioning

confidence: 99%

“…An electronic or (digitally) enhanced PIB (ePIB) provides the messages in digital form, typically stored in Extensible Markup Language (XML) format, which allows for improved representation and packaging of the relevant information for advanced use in applications (5,6) . Digital NOTAMs (DNOTAMs) allow for automated filtering as well as classification of messages along different dimensions (or facets) e.g., importance, geographic area, flight phase, and event scenario, that can be employed to flexibly structure the ePIB to reduce information overload (7) . Using the classification rules developed in the Semantic NOTAM (SemNOTAM) project (7) , DNOTAMs can be packaged into semantic data containers (8) , each container comprising e.g., the DNOTAMs relevant for a certain flight on a particular date.…”

Section: Introductionmentioning

confidence: 99%

“…Digital NOTAMs (DNOTAMs) allow for automated filtering as well as classification of messages along different dimensions (or facets) e.g., importance, geographic area, flight phase, and event scenario, that can be employed to flexibly structure the ePIB to reduce information overload (7) . Using the classification rules developed in the Semantic NOTAM (SemNOTAM) project (7) , DNOTAMs can be packaged into semantic data containers (8) , each container comprising e.g., the DNOTAMs relevant for a certain flight on a particular date. Consider, for example, the semantic containers on the left-hand side of Fig.…”

Section: Introductionmentioning

confidence: 99%

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Semantics-based summarisation of ATM information

Schuetz

Neumayr²,

Schrefl³

et al. 2019

Aeronaut. j.

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Pilot briefings, in their traditional form, drown pilots in a sea of information. Rather than unfocused swathes of air traffic management (ATM) information, pilots require only the information for their specific flight, preferably with an emphasis on the most important information. In this paper, we introduce the notion of ATM information cubes – in analogy to the well-established concept of Online analytical processing (OLAP) cubes in data warehousing. We propose a framework with merge and abstraction operations for the combination and summarization of the information in ATM information cubes to obtain management summaries of relevant information. To this end, we adopt the concept of semantic data container – a package of data items with a semantic description of the contents. The semantic descriptions then serve to hierarchically organise semantic containers along the dimensions of an ATM information cube. Leveraging this hierarchical organisation, a merge operation combines ATM information from individual semantic containers and collects the data items into composite containers. An abstraction operation summarises the data items within a semantic container, replacing individual data items with more abstract data items with summary information.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Semantics-based summarisation of ATM information

Schuetz

Neumayr²,

Schrefl³

et al. 2019

Aeronaut. j.

View full text Add to dashboard Cite

show abstract

“…Steiner, et al [119] suggested to facilitate classification and ranking of DNOTAMs, and present the concept of semantic enhancements. Various classification and ranking criteria have been developed in cooperation with pilots and aeronautical experts.…”

Section: ) Information Managementmentioning

confidence: 99%

Solution for Information Overload Using Faceted Search–A Review

et al. 2020

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In the modern society, Internet provides massive amounts of heterogeneous information, hence Information overload has become an ubiquitous issue. In this paper, we conduct a large scale quantitative study for articles dealing with (1) information overloading; (2) faceted search; and (3) filtering the data in three major databases, namely, Web of Science, ScienceDirect, and IEEE Explore. These three databases have presented 172 articles, which can be classified into four categories. The first category contains review and survey papers related to information overload. The second category includes papers that concentrate on developing theoretical frameworks to reduce information overloading. The third category contains papers dealing with improving structure or architectural of software for filtering the huge data. The fourth category includes papers that provide criteria to evaluate filtering techniques. Finally, our contribution provides further understanding of information overload, and gives an important basis for future research. Moreover, we illustrate that the dynamic faceted filters are more efficient to reduce the information overload.

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Employing Aviation-Specific Contexts for Business Rules and Business Vocabularies Management in SemNOTAM

Burgstaller

2017

Lecture Notes in Computer Science

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Semantic enrichment of DNOTAMs to reduce information overload in pilot briefings

Cited by 11 publications

References 3 publications

Semantics-based summarisation of ATM information

Semantics-based summarisation of ATM information

Solution for Information Overload Using Faceted Search–A Review

Employing Aviation-Specific Contexts for Business Rules and Business Vocabularies Management in SemNOTAM

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