Mara Abel

Mara Abel
Universidade Federal do Rio Grande do Sul | UFRGS · Institute of Informatics

Dr.

About

173
Publications
39,519
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1,158
Citations
Introduction
Geologist and doctor in Computer Science. Researcher on Knowledge Engineering and ontology modelling. She has developed several ontology-based applications in Petroleum Geology. Recent projects are related to ontological foundation applied to petroleum data integration, specially reservoir modelling interoperability.
Additional affiliations
December 1989 - present
Universidade Federal do Rio Grande do Sul
Position
  • Professor (Full)
Description
  • Professor and PhD supervisor in Computing PG program.
Education
July 1995 - April 2020
Universidade Federal do Rio Grande do Sul
Field of study
  • Computer Science - Artificial Inteligence
March 1985 - September 1987
Universidade Federal do Rio Grande do Sul
Field of study
  • Computer Science - Artificial Inteligence
March 1978 - December 1982

Publications

Publications (173)
Article
Ontology development is a challenging task that encompasses many time-consuming activities. One of these activities is the classification of the domain entities (concepts and instances) according to top-level concepts. This activity is usually performed manually by an ontology engineer. However, when the set of entities increases in size, associati...
Article
Objetivo: Descrever, com ontologia, a representação de documentos de acordo com os princípios e conceitos da Arquivologia. A análise ontológica teve enfoque na produção documental de uma organização, permitindo que ontologias desenvolvidas para organizações possam ser compatibilizadas com os princípios e soluções da Arquivologia, quando a questão é...
Article
An ontology is a logical theory that accounts for a domain vocabulary’s intended meaning, allowing us to develop a computational artifact that explicitly and formally represents the community’s conceptualization related to a vocabulary. This paper presents the GeoReservoir ontology – the result of the ontological analysis of the terminology adopted...
Conference Paper
Full-text available
O artigo descreve estudo sobre representação da produção documental arquivística com ontologias de BFO. Partindo de análise conceitual na literatura arquivística o estudo analisa a representação do documento arquivístico e seu contexto de produção utilizando um contrato de partilha de exploração e produção de petróleo. São analisados os conceitos d...
Presentation
Petwin project presentation on the AI seminar on Oil and Gas. Development methodology and ddvances about ontology modeling of petroleum production plants to support optimization operations.
Data
Describes the competence questions and development process of an ontology for plant production in the scope of the PETWIN project. There are further publications.
Conference Paper
Full-text available
A competitividade na indústria de óleo e gás tem exigido altos investimentos tecnológicos para decisões centradas em dados. Uma das tendências são os Gêmeos Digitais, que se valem de espaços virtuais e de serviços analíticos avançados para monitorar e aprimorar os espaços físicos. Um Núcleo de Fusão de Dados (NFD) inter-relaciona estes sistemas. A...
Poster
Poster submitted to FOIS Early Career Symposium (ECS) 2021. This event is designed to provide an opportunity for graduate students to present their work at one of the leading conferences in formal ontology and to get first-hand feedback and mentorship from senior researchers in their field.
Article
Ontologies are computational artifacts that model consensual aspects of reality. In distributed contexts, applications often need to utilize information from several distinct ontologies. In order to integrate multiple ontologies, entities modeled in each ontology must be matched through an ontology alignment. However, imperfect alignments may intro...
Conference Paper
Full-text available
Weathering is an event that changes rocks and sediments when they are exposed to the Earth's surface conditions. This paper presents an ontological analysis and proposes a model for this type of event, based on the Unified Foundational Ontology and specializing concepts from the GeoCore ontology. The proposed model details the two main types of wea...
Conference Paper
Full-text available
In the construction of geological models, it is crucial to specify the spatial relations between the represented entities, which support the understanding of the 3D distribution of the rock bodies. In this paper, we propose an ontological model, based on the GeoCore ontology and the Basic Formal Ontology (BFO), which defines a set of spatial relati...
Conference Paper
Full-text available
Due to the increasing size of the datasets, instance selection techniques have been applied for reducing the computational resources involved in data mining and machine learning tasks. In this paper, we propose an attraction-based approach for selecting instances. The algorithm adopts the notion of attraction for selecting the most representative i...
Presentation
Full-text available
Ontologies are usually focused on describing the things that exist in time (i.e., continuants, objects), but the things that happen (i.e., occurrents, processes, events) also play an important role in representing the world. This paper explores the view of occurrents as transitions between situations to propose a framework for the ontological analy...
Conference Paper
Full-text available
One of the main challenges in building a domain ontology is to define what are the set of relevant terms to formally define and include in the conceptual model. The goal is that the selected terms provide good coverage on the required view over the domain and represent the common shared knowledge. In this work, we combine the examination of a techn...
Preprint
Full-text available
Ontologies are usually focused on describing the things that exist in time (i.e., continuants, objects), but the things that happen (i.e., occurrents, processes, events) also play an important role in representing the world. This paper explores the view of occurrents as transitions between situations to propose a framework for the ontological analy...
Conference Paper
Due to the increasing size of the datasets, prototype selection techniques have been applied for reducing the computational resources involved in data mining and machine learning tasks. In this paper, we propose a density-based approach for selecting prototypes. Firstly, it finds the density peaks in each dimension of the dataset. After that, it bu...
Chapter
Full-text available
Ontologies are usually focused on describing the things that exist in time (i.e., continuants, objects), but the things that happen (i.e., occurrents, processes, events) also play an important role in representing the world. This paper explores the view of occurrents as transitions between situations to propose a framework for the ontological analy...
Experiment Findings
Ontological definition of the main entities on Geology domain that can be used to specialize the whole entities. Based on BFO upper ontology. Define Rock, Geological unit, structure, texture, boundaries, contact, age and process. Phd Project of Luan Garcia
Conference Paper
Full-text available
Process design requires a well understanding of the application domain. In practice, business analysts interview the domain experts and translate their understanding to process models. Often, the vocabulary used by the domain expert is very specific and difficult to understand by process analysts. Therefore, the process model elements can be named...
Code
The source code of the Density-based Prototype Selection (DPS) algorithm, proposed in the paper "A density-based prototype selection approach", which as published in the proceedings of ICAISC 2020
Code
Source code of the LDIS (local density-based instance selection) algorithm, presented in the following paper: Carbonera, Joel Luis, and Mara Abel. "A density-based approach for instance selection." 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2015.
Presentation
Full-text available
Presentation of the paper "A SUBSPACE HIERARCHICAL CLUSTERING ALGORITHM FOR CATEGORICAL DATA", published in ICTAI 2019.
Conference Paper
Full-text available
In this paper, we propose a soft subspace hierarchical clustering for dealing with categorical data. The proposed algorithm extends the traditional agglomerative hierarchical clustering approach for identifying clusters of categorical data in sub-spaces. The algorithm adopts a correlation-based approach for measuring the relevance of each categoric...
Conference Paper
Full-text available
In the context of natural language processing and information retrieval, ontologies can improve the results of the word sense disambiguation (WSD) techniques. By making explicit the semantics of the term, ontology-based semantic measures play a crucial role to determine how different ontology classes have a similar meaning. In this context, it is c...
Article
Domain ontologies assume the role of representing, in a formal way, a consensual knowledge of a community over a domain. This task is especially difficult in a wide domain like Geology, which is composed of diversified science resting on a large variety of conceptual models that were developed over time. The meaning of the concepts used by the vari...
Chapter
We propose an ontological pattern for dealing with the material constitution relation in Geology domain. This is important because geologists are often interested only in properties that are dependent to the matter (the rock, the minerals) or to the object (a geological unit, a grain). The scale of analysis is very important in Geology and may rang...
Article
Full-text available
This work presents a review of the ideas that are currently in use on the ontology-based conceptual modeling of occurrents (sometimes referred to as “events”, “perdurants”, or “processes”). It collects such ideas from a set of 11 ontologies, which includes some of the most important and widely used upper ontologies (i.e., BFO, UFO, DOLCE, YAMATO, S...
Code
Code of the SSHC (soft subspace hierarchical clustering) algorithm, proposed in the paper "A subspace hierarchical clustering algorithm for categorical data", which was published in the proceedings of ICTAI 2019
Presentation
Ontologies have been used as artifacts for promoting the mutual agreement among humans and for ensuring the semantic interoperability among systems. In this context, several works have been advocating for the application of ontological analysis as a general approach for developing ontologies that fit better to the domain conceptualization and that...
Conference Paper
Full-text available
Machine learning approaches have been applied in huge volumes of data. In order to deal with this big data, techniques for instance selection have been applied for reducing the data to a manageable volume and, consequently, for reducing the computational resources that are necessary to apply machine learning approaches. In this paper, we propose an...
Presentation
Full-text available
Presentation of the paper "AN EFFICIENT PROTOTYPE SELECTION ALGORITHM BASED ON SPATIAL ABSTRACTION", in DaWak 2018. The paper can be found in: https://www.springerprofessional.de/en/an-efficient-prototype-selection-algorithm-based-on-spatial-abst/16055754
Technical Report
Full-text available
Technology is a strong ally for the acquisition of geological data. With the huge demand for fast and reliable results, changes and updates in the tools used by geologists are necessary. Investing in the generation of relevant data for aiding the interpretation and decision making during the exploration for oil reservoirs is critical for reducing t...
Article
Full-text available
Nowadays, data mining approaches have been applied for extracting useful knowledge from a huge volume of data. In order to deal with this big data, techniques for prototype (or instance) selection have been applied for reducing the data to a manageable volume and, consequently, for reducing the computational resources that are necessary to apply da...
Conference Paper
Full-text available
There is a somewhat widespread view that objects are ontologically prior to events. Nevertheless, much of our world seems to be largely dependent on events, so that we have much to gain with an ontological analysis of this dynamic aspect of reality. This is particularly true in the case of urinalysis i.e. the laboratory test of urine that aims to i...
Article
In the domain of E&P petroleum chain, the authors have developed a study and proposed a conceptual framework for inserting direct rock data into reservoir models, through calibration of well logs. This type of data is often ignored or manual processed in actual petroleum reservoir modeling activities, due to its high cost of acquisition, or due to...
Conference Paper
Full-text available
The concept of a well in petroleum industry changes according to the sector that is operating and producing data. A geologist, reservoir engineer, mechanical engineer, field operator and business manager can have a particular view over the well and the related information. PPDM Association Work Group has created baseline definitions for the most im...
Conference Paper
Full-text available
Due to the increasing of the size of the datasets, techniques for instance selection have been applied for reducing the data to a manageable volume, leading to a reduction of the computational resources that are necessary for performing the learning process. Besides that, algorithms of instance selection can also be applied for removing useless, er...
Poster
Um método para detecção automática de tipos litológicos e contatos foi desenvolvido através da combinação de análises estatísticas de um conjunto de perfis geofísicos de poço convencionais, calibradas por descrições sistemáticas de testemunhos. O intuito desse projeto é permitir a integração de dados de rocha em modelos de reservatório. Os testemun...
Presentation
Sequential descriptions or logs of outcrops and borehole cores provide key information for understanding the processes of generation and evolution of the rocks and their resources, such as accumulations of ores or petroleum. Currently, most sequential descriptions are still created using non-standardized data formats, in which geologists use free t...
Presentation
Full-text available
A modelagem e simulação de processos diagenéticos requerem o entendimento dos processos químicos, físicos e biológicos atuantes em sedimentos a partir de sua deposição, durante e após a sua litificação e antes de seu metamorfismo. Para isto, diversos parâmetros devem ser especificados, incluindo a composição da água e dos minerais, e as condições d...
Conference Paper
Full-text available
A geochemical speciation modelling software is responsible for calculating the distribution of dissolved species between solutes and aqueous complexes, and also computes saturation indexes for different minerals. In this work we introduce SHPECK, a software developed to model geochemical equilibrium systems using the mass-balance conditions based o...
Conference Paper
Full-text available
xploration and production workflows presently involve increasing volumes of data and interpretations that must be shared and exchanged between a variety of software applications throughout the reservoir life cycle. RESQML is the data exchange format used in the upstream oil and gas ndustry for transferring earth models between software applicati...
Conference Paper
Recent advances in seismic inversion have made it possible to integrate geophysical Elasto-Facies Associations (EFAs) into a more sophisticated workflow that allows for improved reservoir characterization. However, performing inversion still requires well data for the calibration of low frequency input models. Innovative solutions are therefore req...
Chapter
Full-text available
Resumo. A cadeia de petróleo consiste em uma sequência de tarefas que inicia com a exploração de áreas potencialmente econômicas por geólogos e geofísicos, produzindo dados que são utilizadas para subsidiar as decisões dos engenheiros de petróleo sobre colocar ou não um determinado reservatório em produção. Cada um desses profissionais possui difer...
Article
In visual domains, such as Medicine, Meteorology and Geology, the tasks are accomplished through intensive use of visual knowledge. In this work, we focus in an essential kind of task that is performed in many visual domains: the visual interpretation task. We call visual interpretation the expert reasoning process that starts with the perception o...
Conference Paper
Full-text available
Instance selection is an important preprocessing step that can be applied in many machine learning tasks. Due to the increasing of the size of the datasets, techniques for instance selection have been applied for reducing the data to a manageable volume, leading to a reduction of the computational resources that are necessary for performing the lea...
Conference Paper
Full-text available
Within the Knowledge representation community, in general, an ontology is considered as a formal specification of a shared conceptualization. In this sense, ontologies would be constituted of concepts and could be understood as an approach of representing knowledge. In general, ontologies represent concepts in a logical way, adopting the so-called...
Conference Paper
Full-text available
Ontologies have been growing in importance regarding their reusability for distinct applications, since this allows amortizing the significant cost of development of a knowledge base. Large portions of knowledge models now are modelled as ontologies and these portions are shared through several applications. Considering the immature stage of the me...
Article
Full-text available
Diagenetic reactions, characterized by the dissolution and precipitation of minerals at low temperatures, control the quality of sedimentary rocks as hydrocarbon reservoirs. Geochemical modeling, a tool used to understand diagenetic processes, is performed through computer codes based on thermodynamic and kinetic parameters. In a comparative study,...
Conference Paper
Full-text available
In this thesis, I investigate a hybrid knowledge representation approach that combines classic knowledge representations, such as rules and ontolo-gies, with other cognitively plausible representations , such as prototypes and exemplars. The resulting framework can combine the strengths of each approach of knowledge representation, avoiding their w...
Conference Paper
Full-text available
When the size of an ontology increases, it becomes hard to be managed. Ontology view extraction is an approach that can be used for overcoming the challenges that arise in this scenario. In this context, an ontology view is a subset of an ontology tailored to a specific set of user requirements. Well-founded ontology views were recently proposed as...
Conference Paper
Full-text available
We propose a hybrid approach for knowledge representation that combines classic representations (such as rules and ontologies) with cognitively plausible representations, such as prototypes and exemplars. The resulting framework can be used for developing knowledge-based systems that combine knowledge-driven and data-driven techniques. We also pres...