Ing. Jana Ahmad

Recently, there has been growing interest in the use of ontology as a fundamental tool for representing domain-specific conceptual models to improve the semantics, accuracy, and relevance of domain users’ query results. Although the amount of data has grown steadily over the past decade, much data shares similar characteristics that can be captured by a foundational ontology. In this paper, we show how queries based on a foundational ontology can be evaluated and their performance measured. We also present a Foundational Patterns benchmark to help select the most efficient triple memory and its layout. We evaluate the foundational benchmark with both generated and real datasets for state-of-the-art triple stores.

Using ontologies for enterprise data integration brings an opportunity to use them for efficient data query evaluation. The rationale is that ontologies represent common-sense structures that are reflected also in queries posed by data users and thus can be used for query optimization. This paper presents how proper foundational-ontology-based knowledge can be used to design a generic index, which can help in answering a wide range of queries compliant with the foundational ontology. We discuss several indexing techniques and evaluate our proposal for different UFO-based queries extracted from different query sets.

Aviation is a high risk industry where safety management is mandatory for organizations. On a global scale, safety management is hierarchical, i.e. national authorities manage safety of the sector, controlling organizations which in turn manage safety of their operations, as well as the safety of their organizational units. It is apparent that safety information management is a key factor to the success of safety management. Improving safety information management in aviation can be achieved by the systematic documentation of safety information and its seamless sharing vertically as well as horizontally through the management hierarchy. Despite attempts to tackle this problem, the industry still suffers from information management issues, e.g. usage of terminologically incompatible safety management frameworks. As a result diverse information repositories, e.g. investigation reports, safety recommendations, or audit reports managed by these frameworks, cannot be efficiently explored and compared. We apply Linked Data principles, e.g. searchability and explorability based on dataset descriptors, to help solving the problem. In this work we propose an ontology-based safety information management for the aviation industry. To achieve this we develop the Aviation Safety Ontology that is modular and covers the contexts of the organization types aerodrome, airline, air traffic management, maintenance and the state civil aviation authority. We test the appropriateness of the proposed ontology by representing safety data in terms of the ontology.

Last years, there has been growing interest in developing high quality models to ensure interoperability of applications as well as proper understanding among a community. To improve productivity of model designers as well as to improve quality of resulting models, proper theoretical foundations and tool support is necessary. This paper discusses some types of conceptual modeling anti-patterns that lead to error- prone modeling decisions, and describes a reproducible solution to a general anti-pattern detection problem during conceptual design. Novel contribution of this paper is the definition of new ontological anti-patterns, we observed during our work in design and model ontologies in the domain of Aviation Safety. The approach is illustrated on models designed by means of OntoUML, an ontology-founded UML profile based on the Unified Foundational Ontology (UFO).

In recent decades, in the aviation safety community, there is an increasing amount of requirements especially relating to technology and performance. In this paper we discuss how to model aviation safety domain using Unified Foundational Ontology (UFO), which is a top-level ontology aimed at specifications of domain ontologies, which are formal descriptions of concepts and the relationships between these concepts that describe a specific application area. UFO can be used for evaluating business modeling methods and providing real-world semantics for their modeling constructs.

In recent years, human-ontology interaction becomes an increasingly important subject for computational and information systems developers. Human information consumers and web agents need to use and query ontologies using their web sites and web applications, thus the need for developing tool supporting ontological engineering and querying tools arises. In this paper we discuss the potential of web based human-readable ontology queries. In large taxonomies such Aviation Safety (AS) domain, it is important to allow easier navigation within the ontology. Thus we introduce an extension to the OntoQuery tool for more practical visualization of query results and easy OWL vocabulary dissemination to the community.

UML and OWL have different goals and approaches. However they have some similarities, especially for representing structure (class diagrams). In this paper we tried to develop OWLtoUML tool to visualize OWL in UML. This Tool can be useful to transform owl ontology to UML class that can be helpful to present the data structure and organization.