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Archivo Digital UPM (50,467 recursos)
This is an institutional repository providing access to the research output of the institution. Primarily contains thesis.

Materia = Informática

Mostrando recursos 1 - 20 de 2,809

1. Towards measuring the complexity of introducing semantics into a company - Alvarez de Mon Rego, Inmaculada; Barbosa Santillán, Liliana Ibeth
The Semantics Difficulty Model (SDM) is a model that measures the difficult of introducing semantics technology into a company. SDM manages three descriptions of stages, which we will refer to as ?snapshots?: a company semantic snapshot, data snapshot and semantic application snapshot. Understanding a priory the complexity of introducing semantics into a company is important because it allows the organization to take early decisions, thus saving time and money, mitigating risks and improving innovation, time to market and productivity. SDM works by measuring the distance between each initial snapshot and its reference models (the company semantic snapshots reference model, data...

2. La programación de ordenadores es una especie de actividad literaria. - Serradilla García, Francisco
Entrevista a Francisco Serradilla sobre las relaciones entre literatura y computación, creatividad e ingeniería.

3. Integration of wearable devices in a wireless sensor network for an e-health application - Castillejo Parrilla, Pedro; Martínez Ortega, José Fernán; Rodríguez Molina, Jesús; Cuerva García, Alexandra
Applications based on Wireless Sensor Networks for Internet of Things scenarios are on the rise. The multiple possibilities they offer have spread towards previously hard to imagine fields, like e-health or human physiological monitoring. An application has been developed for its usage in scenarios where data collection is applied to smart spaces, aiming at its usage in fire fighting and sports. This application has been tested in a gymnasium with real, non-simulated nodes and devices. A Graphic User Interface has been implemented to suggest a series of exercises to improve a sportsman/woman s condition, depending on the context and their profile....

4. Knowledge-based spatiotemporal linear abstraction - Shahar, Yuval; Molina, Martin
We present a theoretical framework and a case study for reusing the same conceptual and computational methodology for both temporal abstraction and linear (unidimensional) space abstraction, in a domain (evaluation of traffic-control actions) significantly different from the one (clinical medicine) in which the method was originally used. The method, known as knowledge-based temporal abstraction, abstracts high-level concepts and patterns from time-stamped raw data using a formal theory of domain-specific temporal-abstraction knowledge. We applied this method, originally used to interpret time-oriented clinical data, to the domain of traffic control, in which the monitoring task requires linear pattern matching along both space and...

5. Knowledge-based models for adaptive traffic management systems - Cuena, Jose; Hernandez, Josefa; Molina, Martin
This paper describes a general approach for real time traffic management support using knowledge based models. Recognizing that human intervention is usually required to apply the current automatic traffic control systems, it is argued that there is a need for an additional intelligent layer to help operators to understand traffic problems and to make the best choice of strategic control actions that modify the assumption framework of the existing systems.

6. Combining Text and Graphics for Interactive Exploration of Behavior Datasets - Molina, Martin; Parodi, Enrique; Stent, Amanda
Modern sensor technologies and simulators applied to large and complex dynamic systems (such as road traffic networks, sets of river channels, etc.) produce large amounts of behavior data that are difficult for users to interpret and analyze. Software tools that generate presentations combining text and graphics can help users understand this data. In this paper we describe the results of our research on automatic multimedia presentation generation (including text, graphics, maps, images, etc.) for interactive exploration of behavior datasets. We designed a novel user interface that combines automatically generated text and graphical resources. We describe the general knowledge-based design of...

7. Generating descriptions that summarize geospatial and temporal data - Molina, Martin; Stent, Amanda
Effective data summarization methods that use AI techniques can help humans understand large sets of data. In this paper, we describe a knowledge-based method for automatically generating summaries of geospatial and temporal data, i.e. data with geographical and temporal references. The method is useful for summarizing data streams, such as GPS traces and traffic information, that are becoming more prevalent with the increasing use of sensors in computing devices. The method presented here is an initial architecture for our ongoing research in this domain. In this paper we describe the data representations we have designed for our method, our implementations...

8. MSB: Una aplicacion WWW para generación de resúmenes de comportamiento - Flores, Victor; Molina, Martin
La disponibilidad en Internet de grandes volúmenes de información en los que se basan decisiones relacionadas con el funcionamiento de sistemas dinámicos hace que cada vez sean más necesarios métodos efectivos de generación automáti-ca de resumen de información de comportamiento. En este artículo se describe la aplicación MSB (Multimedia Summari-zer of Behavior) como una herramienta software que genera presentaciones multimedia de resumen de comportamiento de sistemas dinámicos para ser presentadas en la Web. MSB usa como entrada datos de comportamiento de fuentes remo-tas (medidos por sensores) que pueden estar disponibles en diferentes servidores Web. Estas fuentes de información se interpretan...

9. A Knowledge-based Approach for Automatic Generation of Summaries of Behavior - Molina, Martin; Flores Fonseca, Víctor Manuel
Effective automatic summarization usually requires simulating human reasoning such as abstraction or relevance reasoning. In this paper we describe a solution for this type of reasoning in the particular case of surveillance of the behavior of a dynamic system using sensor data. The paper first presents the approach describing the required type of knowledge with a possible representation. This includes knowledge about the system structure, behavior, interpretation and saliency. Then, the paper shows the inference algorithm to produce a summarization tree based on the exploitation of the physical characteristics of the system. The paper illustrates how the method is used...

10. Generating Adaptive Presentations of Hydrologic Behavior - Molina, Martin; Flores, Victor
This paper describes a knowledge-based approach for summarizing and presenting the behavior of hydrologic networks. This approach has been designed for visualizing data from sensors and simulations in the context of emergencies caused by floods. It follows a solution for event summarization that exploits physical properties of the dynamic system to automatically generate summaries of relevant data. The summarized information is presented using different modes such as text, 2D graphics and 3D animations on virtual terrains. The presentation is automatically generated using a hierarchical planner with abstract presentation fragments corresponding to discourse patterns, taking into account the characteristics of the...

11. KATS: A Knowledge Acquisition Tool Based on Electronic Document Processing - Molina, Martin; Blasco Moratilla, Gemma
This paper describes a particular knowledge acquisition tool for the construction and maintenance of the knowledge model of an intelligent system for emergency management in the field of hydrology. This tool has been developed following an innovative approach directed to end-users non familiarized in computer oriented terminology. According to this approach, the tool is conceived as a document processor specialized in a particular domain (hydrology) in such a way that the whole knowledge model is viewed by the user as an electronic document. The paper first describes the characteristics of the knowledge model of the intelligent system and summarizes the...

12. Using Electronic Documents for Knowledge Acquisition and Model Maintenance - Molina, Martin; Blasco Moratilla, Gemma
Knowledge acquisition and model maintenance are key problems in knowledge engineering to improve the productivity in the development of intelligent systems. Although historically a number of technical solutions have been proposed in this area, the recent experience shows that there is still an important gap between the way end-users describe their expertise and the way intelligent systems represent knowledge. In this paper we propose an original way to cope with this problem based on electronic documents. We propose the concept of intelligent document processor as a tool that allows the end-user to read/write a document explaining how an intelligent system...

13. ExperNet: An Intelligent Multiagent System for WAN Management - Vlahavas, Ioannis; Bassilliades, Nick; Sakellariou, Ilias; Molina, Martin; Ossowski, Sascha; Futo, Ivan; Pasztor, Zoltan; Szeredi, Janos; Velbitskiyi, Igor; Yershov, Sergey; Netesin, Igor
This paper describes ExperNet, an intelligent multi-agent system that was developed under an EU funded project to assist in the management of a large-scale data network. ExperNet assists network operators at various nodes of a WAN to detect and diagnose hardware failures and network traffic problems and suggests the most feasible solution, through a web-based interface. ExperNet is composed by intelligent agents, capable of both local problem solving and social interaction among them for coordinating problem diagnosis and repair. The current network state is captured and maintained by conventional network management and monitoring software components, which have been smoothly integrated...

14. Modeling Commercial Knowledge to Develop Advanced Agent-based Marketplaces for E-commerce - Molina, Martin
This paper argues about the utility of advanced knowledge-based techniques to develop web-based applications that help consumers in finding products within marketplaces in e-commerce. In particular, we describe the idea of model-based approach to develop a shopping agent that dynamically configures a product according to the needs and preferences of customers. Finally, the paper summarizes the advantages provided by this approach.

15. Increasing the Intelligence of Virtual Sales Assistants through Knowledge Modeling Techniques - Molina, Martin
Shopping agents are web-based applications that help consumers to find appropriate products in the context of e-commerce. In this paper we argue about the utility of advanced model-based techniques that recently have been proposed in the fields of Artificial Intelligence and Knowledge Engineering, in order to increase the level of support provided by this type of applications. We illustrate this approach with a virtual sales assistant that dynamically configures a product according to the needs and preferences of customers.

16. Knowledge Modelling in Multiagent Systems: The Case of the Management of a National Network - Molina, Martin; Ossowski, Sascha
This paper presents the knowledge model of a distributed decision support system, that has been designed for the management of a national network in Ukraine. It shows how advanced Artificial Intelligence techniques (multiagent systems and knowledge modelling) have been applied to solve this real-world decision support problem: on the one hand its distributed nature, implied by different loci of decision-making at the network nodes, suggested to apply a multiagent solution; on the other, due to the complexity of problem-solving for local network administration, it was useful to apply knowledge modelling techniques, in order to structure the different knowledge types and...

17. Terminological Importation for Adapting Reusable Knowledge Representation Components in the KSM Environment - Sierra, José Luis; Molina, Martin
This paper describes the adaptation approach of reusable knowledge representation components used in the KSM environment for the formulation and operationalisation of structured knowledge models. Reusable knowledge representation components in KSM are called primitives of representation. A primitive of representation provides: (1) a knowledge representation formalism (2) a set of tasks that use this knowledge together with several problem-solving methods to carry out these tasks (3) a knowledge acquisition module that provides different services to acquire and validate this knowledge (4) an abstract terminology about the linguistic categories included in the representation language associated to the primitive. Primitives of representation...

18. The Role of Knowledge Modeling Techniques in Software Development: A General Approach Based on a Knowledge Management Tool - Cuena, Jose; Molina, Martin
The aim of the paper is to discuss the use of knowledge models to formulate general applications. First, the paper presents the recent evolution of the software field where increasing attention is paid to conceptual modeling. Then, the current state of knowledge modeling techniques is described where increased reliability is available through the modern knowledge acquisition techniques and supporting tools. The KSM (Knowledge Structure Manager) tool is described next. First, the concept of knowledge area is introduced as a building block where methods to perform a collection of tasks are included together with the bodies of knowledge providing the basic...

19. A Propose-and-revise System for Real-time Traffic Management - Molina, Martin; Robledo, Monica; Fernandez, Alberto
The aim of this paper is to describe an intelligent system for the problem of real time road traffic control. The purpose of the system is to help traffic engineers in the selection of the state of traffic control devices on real time, using data recorded by traffic detectors on motorways. The system follows an advanced knowledge-based approach that implements an abstract generic problem solving method, called propose-and-revise, which was proposed in Artificial Intelligence, within the knowledge engineering field, as a standard cognitive structure oriented to solve configuration design problems. The paper presents the knowledge model of such a system...

20. A Knowledge Model for Automatic Configuration of Traffic Messages - Molina, Martin; Robledo, Monica
This paper describes a knowledge model for a configuration problem in the do-main of traffic control. The goal of this model is to help traffic engineers in the dynamic selection of a set of messages to be presented to drivers on variable message signals. This selection is done in a real-time context using data recorded by traffic detectors on motorways. The system follows an advanced knowledge-based solution that implements two abstract problem solving methods according to a model-based approach recently proposed in the knowledge engineering field. Finally, the paper presents a discussion about the advantages and drawbacks found for this...

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