Villegas Niño, Antonio
Total activity: 10
Research group
MPI - Information Modelling and Processing
Department
Department of Information Services and Systems Engineering
E-mail
antonio.villegasestudiant.upc.edu
Contact details
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Scientific and technological production
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1 to 10 of 10 results
  • A Filtering Engine for Large Conceptual Schemas  Open access

     Villegas Niño, Antonio
    Defense's date: 2013-01-29
    Department of Software, Universitat Politècnica de Catalunya
    Theses

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  • On computing the importance of associations in large conceptual schemas

     Villegas Niño, Antonio; Olive Ramon, Antoni; Sancho Samsó, Maria Ribera
    Date of publication: 2012-01-01
    Book chapter

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    The visualization and the understanding of large conceptual schemas require the use of specific methods. These methods generate clustered, summarized or focused schemas that are easier to visualize and to understand. All of these methods require computing the importance of the elements in the schema but, up to now, only the importance of entity types has been taken into account. In this paper, we present three methods for computing the importance of associations by taking into account the knowledge defined in the structural and behavioral parts of the schema. We experimentally evaluate these methods with large real-world schemas and present the main conclusions we have drawn from the experiments.

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    Understanding constraint expressions in large conceptual schemas by automatic filtering  Open access

     Villegas Niño, Antonio; Olive Ramon, Antoni; Sancho Samsó, Maria Ribera
    International Conference on Conceptual Modeling
    Presentation's date: 2012-10-15
    Presentation of work at congresses

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    Human understanding of constraint expressions (also called schema rules) in large conceptual schemas is very di cult. This is due to the fact that the elements (entity types, attributes, relationship types) involved in an expression are de ned in di fferent places in the schema, which may be very distant from each other and embedded in an intricate web of irrelevant elements. The problem is insignifi cant when the conceptual schema is small, but very signi cant when it is large. In this paper we describe a novel method that, given a set of constraint expressions and a large conceptual schema, automatically filters the conceptual schema, obtaining a smaller one that contains the elements of interest for the understanding of the expressions. We also show the application of the method to the important case of understanding the specication of event types, whose constraint expressions consists of a set of pre and postconditions. We have evaluated the method by means of its application to a set of large conceptual schemas. The results show that the method is eff ective and e cient. We deal with conceptual schemas in UML/OCL, but the method can be adapted to other languages.

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    A web-based filtering engine for understanding event specifications in large conceptual schemas  Open access

     Villegas Niño, Antonio; Olive Ramon, Antoni; Sancho Samsó, Maria Ribera
    International Conference on Conceptual Modeling
    Presentation's date: 2012-10-16
    Presentation of work at congresses

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    A complete conceptual schema must include all relevant general static and dynamic aspects of an information system. Event types describe a nonempty set of allowed changes in the population of entity or relationship types in the domain of the conceptual schema. The conceptual schemas of many real-world information systems that include the speci cation of event types are too large to be easily managed or understood. There are many information system development activities in which people need to understand the eff ect of a set of events. We present an information filtering tool in which a user focuses on one or more event types of interest for her task at hand, and the tool automatically filters the schema in order to obtain a reduced conceptual schema that illustrates all the elements affected by the given events.

  • A tool for filtering large conceptual schemas

     Villegas Niño, Antonio; Sancho Samsó, Maria Ribera; Olive Ramon, Antoni
    International Conference on Conceptual Modeling
    Presentation's date: 2011-10-31
    Presentation of work at congresses

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    The wealth of knowledge the conceptual schemas of many real-world information systems contain makes them very useful to their potential target audience. However, the sheer size of those schemas makes it difficult to extract knowledge from them. There are many information system development activities in which people needs to get a piece of the knowledge contained in a large conceptual schema. We present an information filtering tool in which a user focuses on one or more entity types of interest for her task at hand, and the tool automatically filters the schema in order to obtain a reduced conceptual schema including a set of entity and relationship types (and other knowledge) relevant to that task.

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    Improving the usability of HL7 information models by automatic filtering  Open access

     Villegas Niño, Antonio; Olive Ramon, Antoni; Vilalta, Josep
    IEEE World Congress on Services
    Presentation's date: 2010-07-07
    Presentation of work at congresses

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    The amount of knowledge represented in the Health Level 7 International (HL7) information models is very large. The sheer size of those models makes them very useful for the communities for which they are developed. However, the size of the models and their overall organization makes it difficult to manually extract knowledge from them. We propose to extract that knowledge by using a novel filtering method that we have developed. Our method is based on the concept of class interest as a combination of class importance and class closeness. The application of our method automatically obtains a filtered information model of the whole HL7 models according to the user preferences. We show that the use of a prototype tool that implements that method and produces such filtered model improves the usability of the HL7 models due to its high precision and low computational time.

  • A method for filtering large conceptual schemas

     Villegas Niño, Antonio; Olive Ramon, Antoni
    International Conference on Conceptual Modeling
    Presentation's date: 2010-11-03
    Presentation of work at congresses

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    We focus on the problem of filtering a fragment of the knowledge contained in a large conceptual schema. The problem appears in many information systems development activities in which people need to operate with a piece of the knowledge contained in that schema. We propose a new method in which a user focuses on one or more entity types of interest for her task at hand, and the method automatically filters the schema in order to obtain a set of entity and relationship types (and other knowledge) relevant to that task, taking into account the interest of each entity type with respect to the focus, computed from the measures of importance and closeness of entity types. The method has been implemented in a prototype tool, and it has been experimented with the schema of the osCommerce and the ResearchCyc ontology.

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    Extending the methods for computing the importance of entity types in large conceptual schemas  Open access

     Villegas Niño, Antonio; Olive Ramon, Antoni
    Journal of universal computer science
    Date of publication: 2010-11-01
    Journal article

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    Visualizing and understanding large conceptual schemas requires the use of specific methods. These methods generate clustered, summarized, or focused schemas that are easier to visualize and understand. All of these methods require computing the importance of each entity type in the schema. In principle, the totality of knowledge defined in the schema could be relevant for the computation of that importance but, up to now, only a small part of that knowledge has been taken into account. In this paper, we extend seven existing methods for computing the importance of entity types by taking into account more relevant knowledge defined in the structural and behavioural parts of the schema. We experimentally evaluate the original and extended versions of these methods with three large real-world schemas. We present the two main conclusions we have drawn from the experiments.

  • On computing the importance of entity types in large conceptual schemas

     Villegas Niño, Antonio; Olive Ramon, Antoni
    International Conference on Conceptual Modeling
    Presentation's date: 2009-11-09
    Presentation of work at congresses

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    The visualization and the understanding of large conceptual schemas require the use of specific methods. These methods generate clustered, summarized or focused schemas that are easier to visualize and to understand. All of these methods require computing the importance of each entity type in the schema. In principle, the totality of knowledge defined in the schema could be relevant for the computation of that importance but, up to now, only a small part of that knowledge has been taken into account. In this paper, we extend six existing methods for computing the importance of entity types by taking into account all the relevant knowledge defined in the structural and behavioural parts of the schema. We experimentally evaluate the original and the extended versions of those methods with two large real-world schemas. We present the two main conclusions we have drawn from the experiments.

  • DISEÑO Y CONSTRUCCION DE UN ASISTENTE AL MODELADO CONCEPTUAL

     Pastor Collado, Juan Antonio; Tort Pugibet, Albert; Conesa Caralt, Jordi; Queralt Calafat, Anna; Sancho Samsó, Maria Ribera; Villegas Niño, Antonio; Raventós Pagès, Ruth; Gómez Seoane, Cristina; Costal Costa, Maria Dolors; Mayol Sarroca, Enric; Aguilera Moncusi, David; Olive Ramon, Antoni
    Participation in a competitive project

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