| 1. |
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| 2. |
- Achichi, Manel, et al.
(författare)
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Results of the Ontology Alignment Evaluation Initiative 2017
- 2017
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Ingår i: Proceedings of the 12th International Workshop on Ontology Matching co-located with the 16th International Semantic Web Conference (ISWC 2017). - Aachen, Germany : CEUR Workshop Proceedings. ; , s. 61-113
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Konferensbidrag (refereegranskat)
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| 3. |
- Algergawy, Alsayed, et al.
(författare)
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Results of the Ontology Alignment Evaluation Initiative 2018
- 2018
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Ingår i: Proceedings of the 13th International Workshop on Ontology Matching. - Aachen, Germany : CEUR Workshop Proceedings. ; , s. 76-116
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Konferensbidrag (refereegranskat)abstract
- The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity (from simple thesauri to expressive OWL ontologies) and use different evaluation modalities (e.g., blind evaluation, open evaluation, or consensus). The OAEI 2018 campaign offered 12 tracks with 23 test cases, and was attended by 19 participants. This paper is an overall presentation of that campaign.
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| 4. |
- Algergawy, Alsayed, et al.
(författare)
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Results of the Ontology Alignment Evaluation Initiative 2019
- 2019
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Ingår i: Proceedings of the 14th International Workshop on Ontology Matchingco-located with the 18th International Semantic Web Conference (ISWC 2019). - Aachen : CEUR Workshop Proceedings. ; , s. 46-85
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Konferensbidrag (refereegranskat)abstract
- The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity (from simple thesauri to expressive OWL ontologies) and use different evaluation modalities (e.g., blind evaluation,open evaluation, or consensus). The OAEI2019 campaign offered 11 tracks with 29 test cases, and was attended by 20 participants. This paper is an overall presentation of that campaign.
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| 5. |
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| 6. |
- Chiatti, Agnese, et al.
(författare)
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Reducing the search space in ontology alignment using clustering techniques and topic identification
- 2015
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Ingår i: Proceedings of the 8th International Conference on Knowledge Capture. - New York : ACM Digital Library. - 9781450338493 ; , s. 21-
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Konferensbidrag (refereegranskat)abstract
- One of the current challenges in ontology alignment is scalability and one technique to deal with this issue is to reduce the search space for the generation of mapping suggestions. In this paper we develop a method to prune that search space by using clustering techniques and topic identification. Further, we provide experiments showing that we are able to generate partitions that allow for high quality alignments with a highly reduced effort for computation and validation of mapping suggestions for the parts of the ontologies in the partition. Other techniques will still be needed for finding mappings that are not in the partition.
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| 7. |
- Dórea, Fernanda C., et al.
(författare)
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Drivers for the development of an Animal Health Surveillance Ontology (AHSO)
- 2019
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Ingår i: Preventive Veterinary Medicine. - : Elsevier. - 0167-5877 .- 1873-1716. ; 166:1, s. 39-48
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Tidskriftsartikel (refereegranskat)abstract
- Comprehensive reviews of syndromic surveillance in animal health have highlighted the hindrances to integration and interoperability among systems when data emerge from different sources. Discussions with syndromic surveillance experts in the fields of animal and public health, as well as computer scientists from the field of information management, have led to the conclusion that a major component of any solution will involve the adoption of ontologies. Here we describe the advantages of such an approach, and the steps taken to set up the Animal Health Surveillance Ontological (AHSO) framework. The AHSO framework is modelled in OWL, the W3C standard Semantic Web language for representing rich and complex knowledge. We illustrate how the framework can incorporate knowledge directly from domain experts or from data-driven sources, as well as by integrating existing mature ontological components from related disciplines. The development and extent of AHSO will be community driven and the final products in the framework will be open-access.
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| 8. |
- Dragisic, Zlatan, 1987-
(författare)
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Completion of Ontologies and Ontology Networks
- 2017
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The World Wide Web contains large amounts of data, and in most cases this data has no explicit structure. The lack of structure makes it difficult for automated agents to understand and use such data. A step towards a more structured World Wide Web is the Semantic Web, which aims at introducing semantics to data on the World Wide Web. One of the key technologies in this endeavour are ontologies, which provide a means for modeling a domain of interest and are used for search and integration of data.In recent years many ontologies have been developed. To be able to use multiple ontologies it is necessary to align them, i.e., find inter-ontology relationships. However, developing and aligning ontologies is not an easy task and it is often the case that ontologies and their alignments are incorrect and incomplete. This can be a problem for semantically-enabled applications. Incorrect and incomplete ontologies and alignments directly influence the quality of the results of such applications, as wrong results can be returned and correct results can be missed. This thesis focuses on the problem of completing ontologies and ontology networks.The contributions of the thesis are threefold. First, we address the issue of completing the is-a structure and alignment in ontologies and ontology networks. We have formalized the problem of completing the is-a structure in ontologies as an abductive reasoning problem and developed algorithms as well as systems for dealing with the problem. With respect to the completion of alignments, we have studied system performance in the Ontology Alignment Evaluation Initiative, a yearly evaluation campaign for ontology alignment systems. We have also addressed the scalability of ontology matching, which is one of the current challenges, by developing an approach for reducing the search space when generating the alignment.Second, high quality completion requires user involvement. As users' time and effort are a limited resource we address the issue of limiting and facilitating user interaction in the completion process. We have conducted a broad study of state-of-the-art ontology alignment systems and identified different issues related to the process. We have also conducted experiments to assess the impact of user errors in the completion process.While the completion of ontologies and ontology networks can be done at any point in the life-cycle of ontologies and ontology networks, some of the issues can be addressed already in the development phase. The third contribution of the thesis addresses this by introducing ontology completion and ontology alignment into an existing ontology development methodology.
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| 9. |
- Dragisic, Zlatan, et al.
(författare)
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Experiences from the Anatomy track in the Ontology Alignment Evaluation Initiative
- 2017
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Ingår i: Journal of Biomedical Semantics. - : BioMed Central. - 2041-1480. ; 8
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Forskningsöversikt (refereegranskat)abstract
- Background: One of the longest running tracks in the Ontology Alignment Evaluation Initiative is the Anatomy track which focuses on aligning two anatomy ontologies. The Anatomy track was started in 2005. In 2005 and 2006 the task in this track was to align the Foundational Model of Anatomy and the OpenGalen Anatomy Model. Since 2007 the ontologies used in the track are the Adult Mouse Anatomy and a part of the NCI Thesaurus. Since 2015 the data in the Anatomy track is also used in the Interactive track of the Ontology Alignment Evaluation Initiative.Results: In this paper we focus on the Anatomy track in the years 2007-2016 and the Anatomy part of the Interactive track in 2015-2016. We describe the data set and the changes it went through during the years. Further, we give an overview of all systems that participated in the track and the techniques they have used. We discuss the performance results of the systems and summarize the general trends.Conclusions: About 50 systems have participated in the Anatomy track. Many different techniques were used. The most popular matching techniques are string-based strategies and structure-based techniques. Many systems also use auxiliary information. The quality of the alignment has increased for the best performing systems since the beginning of the track and more and more systems check the coherence of the proposed alignment and implement a repair strategy.Further, interacting with an oracle is beneficial.
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| 10. |
- Dragisic, Zlatan, et al.
(författare)
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Integrating Ontology Debugging and Matching into the eXtreme Design Methodology
- 2015
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Ingår i: Proceedings of the 6th Workshop on Ontology and Semantic Web Patterns (WOP 2015). - : Rheinisch-Westfaelische Technische Hochschule Aachen University.
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Konferensbidrag (refereegranskat)abstract
- Ontology design patterns (ODPs) and related ontology development methodologies were designed as ways of sharing and reusing best practices in ontology engineering. However, while the use of these reduces the number of issues in the resulting ontologies defects can still be introduced into the ontology due to improper use or misinterpretation of the patterns. Thus, the quality of the developed ontologies is still a major concern. In this paper we address this issue by describing how ontology debugging and matching can be integrated in a state-of-the-art ontology development methodology based on ontology design patterns- the eXtreme Design methodology, and show the advantages in a case study based on a real world ontology.
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