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Dr. Mari Carmen Suárez-Figueroa
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Representative Publications
View All Publications1 April 2014 in International Journal on Semantic Web and Information Systems
Journal Article
MPMaría Poveda-Villalón
María Poveda-Villalón
AGAsunción Gómez-Pérez
Asunción Gómez-PérezMSMari Carmen Suárez-Figueroa
Mari Carmen Suárez-FigueroaThis paper presents two contributions to the field of Ontology Evaluation. First, a live catalogue of pitfalls that extends previous works on modeling errors with new pitfalls resulting from an empirical analysis of over 693 ontologies. Such a catalogue classifies pitfalls according to the Structural, Functional and Usability-Profiling dimensions. For each pitfall, we incorporate the value of its importance level (critical, important and minor) and the number of ontologies where each pitfall has been detected. Second, OOPS! (OntOlogy Pitfall Scanner!), a tool for detecting pitfalls in ontologies and targeted at newcomers and domain experts unfamiliar with description logics and ontology implementation languages. The tool operates independently of any ontology development platform and is available online. The evaluation of the system is provided both through a survey of users' satisfaction and worldwide usage statistics. In addition, the system is also compared with existing ontology evaluation tools in terms of coverage of pitfalls detected.
1 December 2011
Book Chapter
MSMari Carmen Suárez-Figueroa
Mari Carmen Suárez-FigueroaAGAsunción Gómez-Pérez
Asunción Gómez-PérezMLMariano Fernández López
Mariano Fernández López15 September 2015 in Applied Ontology
Journal Article
MSMari Carmen Suárez-Figueroa
Mari Carmen Suárez-FigueroaAGAsunción Gómez-Pérez
Asunción Gómez-PérezMLMariano Fernández López
Mariano Fernández LópezASAsunción
Asunción
This paper describes a scenario-based methodology called the NeOn Methodology framework. The aim of this framework is to speed up the construction of ontologies and ontology networks by reusing available knowledge resources (ontologies, non-ontologic
1 January 2009
Book Chapter
MSMari Carmen Suárez-Figueroa
Mari Carmen Suárez-FigueroaAGAsunción Gómez-Pérez
Asunción Gómez-PérezBVBoris Villazón-Terrazas
Boris Villazón-Terrazas
The goal of the ontology requirements specification activity is to state why the ontology is being built, what its intended uses are, who the end-users are, and which requirements the ontology should fulfill. The novelty of this paper lies in the systematization of the ontology requirements specification activity since the paper proposes detailed methodological guidelines for specifying ontology requirements efficiently. These guidelines will help ontology engineers to capture ontology requirements and produce the ontology requirements specification document (ORSD). The ORSD will play a key role during the ontology development process because it facilitates, among other activities, (1) the search and reuse of existing knowledge-aware resources with the aim of re-engineering them into ontologies, (2) the search and reuse of existing ontological resources (ontologies, ontology modules, ontology statements as well as ontology design patterns), and (3) the verification of the ontology along the ontology development. In parallel to the guidelines, we present the ORSD that resulted from the ontology requirements specification activity within the SEEMP project, and how this document facilitated not only the reuse of existing knowledge-aware resources but also the verification of the SEEMP ontologies. Moreover, we present some use cases in which the methodological guidelines proposed here were applied.
1 January 2012
Book Chapter
MPMaría Poveda-Villalón
María Poveda-VillalónMSMari Carmen Suárez-Figueroa
Mari Carmen Suárez-FigueroaAGAsunción Gómez-Pérez
Asunción Gómez-Pérez1 August 2019 in Journal of Web Semantics
Journal Article
MLMariano Fernández López
Mariano Fernández LópezMPMaría Poveda-Villalón
María Poveda-Villalón
MSMari Carmen Suárez-Figueroa
Mari Carmen Suárez-FigueroaAGAsunción Gómez-Pérez
Asunción Gómez-Pérez
About Me
Mari Carmen Suárez-Figueroa, PhD. has been a Senior Lecturer lecturer in the Artificial Intelligence Department of the Escuela Técnica Superior de Ingenieros Informáticos, Universidad Politécnica de Madrid (UPM) since 2008 and a senior researcher at the Ontology Engineering Group (OEG) since 2002. In addition, she has been Academic Secretary of the Artificial Intelligence Department at UPM since 2017. She graduated in Computer Science in 2001 and got a PhD in Artificial Intelligence, with European mention, in 2010. She received an Outstanding Award granted by the UPM PhD Commission. Her research lines included ontology development methodologies, ontology evaluation, ontology reuse and ontology design patterns. In these areas, she has participated in several European and Spanish projects (SlideWiki, BuscaMedia, mIO!, NeOn, SEEMP, REIMDOC, OntoGrid, Knowledge Web, PIKON, Esperonto and OntoWeb). Currently, her research is focused (a) on applying artificial intelligence techniques to achieve so-called cognitive accessibility, and (b) on investigating different aspects of inclusive artificial intelligence. She is co-editor of the book "Ontology Engineering in a Networked World" (Springer 2012). In addition, she published her PhD thesis in IOS Press in 2012. She co-organized sessions, conferences, workshops, and tutorials at international events such as ISWC 2019, ISWC 2018, ICTERI 2018, EKAW 2016, ESWC 2014, TKE 2012, ISWC 2012, EKAW 2012, EKAW 2008, ESWC 2008, and WWW 2006.