Automatic evaluation of complex alignments: An instance-based approach

Semantic Web ◽  
2021 ◽  
pp. 1-21
Author(s):  
Elodie Thiéblin ◽  
Ollivier Haemmerlé ◽  
Cássia Trojahn
Keyword(s):  
Evaluation System ◽  
State Of The Art ◽  
Ontology Matching ◽  
Automatic Evaluation ◽  
Single Entity ◽  
Evaluation Task ◽  
Transformation Functions ◽  
New Strategies

Ontology matching is the task of generating a set of correspondences (i.e., an alignment) between the entities of different ontologies. While most efforts on alignment evaluation have been dedicated to the evaluation of simple alignments (i.e., those linking one single entity of a source ontology to one single entity of a target ontology), the emergence of matchers providing complex alignments (i.e., those composed of correspondences involving logical constructors or transformation functions) requires new strategies for addressing the problem of automatically evaluating complex alignments. This paper proposes (i) a benchmark for complex alignment evaluation composed of an automatic evaluation system that relies on queries and instances, and (ii) a dataset about conference organisation. This dataset is composed of populated ontologies and a set of competency questions for alignment as SPARQL queries. State-of-the-art alignments are evaluated and a discussion on the difficulties of the evaluation task is provided.

A consensual dataset for complex ontology matching evaluation

2020 ◽  
Vol 35 ◽  
Author(s):  
Elodie Thiéblin ◽  
Michelle Cheatham ◽  
Cassia Trojahn ◽  
Ondrej Zamazal
Keyword(s):  
Lessons Learned ◽  
Ontology Matching ◽  
Single Entity ◽  
Transformation Functions

Abstract Simple ontology alignments, largely studied in the literature, link one single entity of a source ontology to one single entity of a target ontology. One of the limitations of these alignments is, however, their lack of expressiveness, which can be overcome by complex alignments, which are composed of correspondences involving logical constructors or transformation functions. While most work on complex ontology matching has been dedicated to the development of complex matching approaches, there is still a lack of benchmarks on which the complex approaches can be systematically evaluated. The aim of this paper is to present the process of constructing the consensual complex Conference dataset, describing the design choices and the methodology followed for constructing it. We discuss the issues the experts were faced with during the process and discuss the lessons learned and perspectives in the field.

scholarly journals Ultraviolet-C as a Viable Reprocessing Method for Disposable Masks and Filtering Facepiece Respirators

Polymers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 801
Author(s):  
Talita Nicolau ◽  
Núbio Gomes Filho ◽  
Andrea Zille
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Personal Protective Equipment ◽  
State Of The Art ◽  
Protective Equipment ◽  
Multiple Methods ◽  
Ultraviolet C ◽  
Single Use ◽  
Uv C ◽  
New Strategies

In normal conditions, discarding single-use personal protective equipment after use is the rule for its users due to the possibility of being infected, particularly for masks and filtering facepiece respirators. When the demand for these protective tools is not satisfied by the companies supplying them, a scenario of shortages occurs, and new strategies must arise. One possible approach regards the disinfection of these pieces of equipment, but there are multiple methods. Analyzing these methods, Ultraviolet-C (UV-C) becomes an exciting option, given its germicidal capability. This paper aims to describe the state-of-the-art for UV-C sterilization in masks and filtering facepiece respirators. To achieve this goal, we adopted a systematic literature review in multiple databases added to a snowball method to make our sample as robust as possible and encompass a more significant number of studies. We found that UV-C’s germicidal capability is just as good as other sterilization methods. Combining this characteristic with other advantages makes UV-C sterilization desirable compared to other methods, despite its possible disadvantages.

scholarly journals Automatic Evaluation System of FISH Images in Breast Cancer

2014 ◽  
pp. 332-339 ◽  
Author(s):  
Tomasz Les ◽  
Tomasz Markiewicz ◽  
Stanislaw Osowski ◽  
Marzena Cichowicz ◽  
Wojciech Kozlowski
Keyword(s):  
Breast Cancer ◽  
Evaluation System ◽  
Automatic Evaluation

scholarly journals Alin: improving interactive ontology matching by interactively revising mapping suggestions

2020 ◽  
Vol 35 ◽  
Author(s):  
Jomar Da Silva ◽  
Kate Revoredo ◽  
Fernanda Baião ◽  
Jérôme Euzenat
Keyword(s):  
State Of The Art ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Ontology Matching ◽  
New Techniques ◽  
Domain Experts ◽  
Matching Process ◽  
Heterogeneous Data Sources ◽  
Expert Answer ◽  
Comparable Quality

Abstract Ontology matching aims at discovering mappings between the entities of two ontologies. It plays an important role in the integration of heterogeneous data sources that are described by ontologies. Interactive ontology matching involves domain experts in the matching process. In some approaches, the expert provides feedback about mappings between ontology entities, that is, these approaches select mappings to present to the expert who replies which of them should be accepted or rejected, so taking advantage of the knowledge of domain experts towards finding an alignment. In this paper, we present Alin, an interactive ontology matching approach which uses expert feedback not only to approve or reject selected mappings but also to dynamically improve the set of selected mappings, that is, to interactively include and to exclude mappings from it. This additional use for expert answers aims at increasing in the benefit brought by each expert answer. For this purpose, Alin uses four techniques. Two techniques were used in the previous versions of Alin to dynamically select concept and attribute mappings. Two new techniques are introduced in this paper: one to dynamically select relationship mappings and another one to dynamically reject inconsistent selected mappings using anti-patterns. We compared Alin with state-of-the-art tools, showing that it generates alignment of comparable quality.

scholarly journals An overview of current ontology meta-matching solutions

2012 ◽  
Vol 27 (4) ◽  
pp. 393-412 ◽  
Author(s):  
Jorge Martinez-Gil ◽  
José F. Aldana-Montes
Keyword(s):  
Dynamic Systems ◽  
State Of The Art ◽  
Ontology Matching ◽  
Complex Nature ◽  
Matching Problem ◽  
Global Strategies

AbstractNowadays, there are a lot of techniques and tools for addressing the ontology matching problem; however, the complex nature of this problem means that the existing solutions are unsatisfactory. This work intends to shed some light on a more flexible way of matching ontologies using ontology meta-matching. This emerging technique selects appropriate algorithms and their associated weights and thresholds in scenarios where accurate ontology matching is necessary. We think that an overview of the problem and an analysis of the existing state-of-the-art solutions will help researchers and practitioners to identify the most appropriate specific features and global strategies in order to build more accurate and dynamic systems following this paradigm.

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