Adaptive fuzzy knowledge-based systems for control metabots' mobility on virtual environments

The confluence of three-dimensional (3D) virtual worlds with social networks imposes on software agents, in addition to conversational functions, the same behaviours as those common to human-driven avatars. In this paper, we explore the possibilities of the use of metabots (metaverse robots) with motion capabilities in complex virtual 3D worlds and we put forward a learning model based on the techniques used in evolutionary computation for optimizing the fuzzy controllers which will subsequently be used by metabots for moving around a virtual environment.

Exploiting Structured Linked Data in Enterprise Knowledge Management Systems: An Idea Management Case Study

In parallel to the effort of creating Open Linked Data for the World Wide Web there is a number of projects aimed for developing the same technologies but in the context of their usage in closed environments such as private enterprises. In the paper, we present results of research on interlinking structured data for use in Idea Management Systems - a still rare breed of knowledge management systems dedicated to innovation management. In our study, we show the process of extending an ontology that initially covers only the Idea Management System structure towards the concept of linking with distributed enterprise data and public data using Semantic Web technologies. Furthermore we point out how the established links can help to solve the key problems of contemporary Idea Management Systems

Development of a Knowledge Base for smart screening of language disorders in primary care

Monitoring of neuro-evolutive development from birth until the age of six is a decisive factor in a child's quality of life. Early detection of development disorders in early childhood can facilitate necessary diagnosis and/or treatment. Primary-care pediatricians play a key role in early detection of development alterations as they can undertake the preventive and therapeutic actions necessary in the interest of a child's optimal development. The focus of this research paper is the construction of a Knowledge Base for smart screening aimed to assist pediatricians in processes of early referral in language disorders. The proposed model provides health professionals with a decision-making tool that supports referral processes. In this way, essential diagnostic and/or therapeutic actions are triggered for a comprehensive individual development. The resulting system was developed on the basis of an analysis and verification of 21 cases of children with language disorders.

Expert systems for quality prediction in structural engineering

This work deals with quality level prediction in concrete structures through the helpful assistance of an expert system wich is able to apply reasoning to this field of structural engineering. Evidences, hypotheses and factors related to this human knowledge field have been codified into a Knowledge Base in terms of probabilities for the presence of either hypotheses or evidences,and conditional presence of both. Human experts in structural engineering and safety of structures gave their invaluable knowledge and assistance necessary when constructing the "computer knowledge body".

Enabling folksonomies for knowledge extraction: A semantic grounding approach

Folksonomies emerge as the result of the free tagging activity of a large number of users over a variety of resources. They can be considered as valuable sources from which it is possible to obtain emerging vocabularies that can be leveraged in knowledge extraction tasks. However, when it comes to understanding the meaning of tags in folksonomies, several problems mainly related to the appearance of synonymous and ambiguous tags arise, specifically in the context of multilinguality. The authors aim to turn folksonomies into knowledge structures where tag meanings are identified, and relations between them are asserted. For such purpose, they use DBpedia as a general knowledge base from which they leverage its multilingual capabilities.

QL-CONST1: an expert system for quality level prediction in concrete structures

Current trends in the fields of artifical intelligence and expert systems are moving towards the exciting possibility of reproducing and simulating human expertise and expert behaviour into a knowledge base, coupled with an appropriate, partially ‘intelligent’, computer code. This paper deals with the quality level prediction in concrete structures using the helpful assistance of an expert system, QL-CONST1, which is able to reason about this specific field of structural engineering. Evidence, hypotheses and factors related to this human knowledge field have been codified into a knowledge base. This knowledge base has been prepared in terms of probabilities of the presence of either hypotheses or evidence and the conditional presence of both. Human experts in the fields of structural engineering and the safety of structures gave their invaluable knowledge and assistance to the construction of the knowledge base. Some illustrative examples for, the validation of the expert system behaviour are included.

Adding semantic annotations into (Geospatial) RESTful services

In this paper the authors present an approach for the semantic annotation of RESTful services in the geospatial domain. Their approach automates some stages of the annotation process, by using a combination of resources and services: a cross-domain knowledge base like DBpedia, two domain ontologies like GeoNames and the WGS84 vocabulary, and suggestion and synonym services. The authors’ approach has been successfully evaluated with a set of geospatial RESTful services obtained from ProgrammableWeb.com, where geospatial services account for a third of the total amount of services available in this registry.

Knowledge representation tool for cognitiveprocesses modeling

In the last decades, neuropsychological theories tend to consider cognitive functions as a result of the whole brainwork and not as individual local areas of its cortex. Studies based on neuroimaging techniques have increased in the last years, promoting an exponential growth of the body of knowledge about relations between cognitive functions and brain structures [1]. However, so fast evolution make complicated to integrate them in verifiable theories and, even more, translated in to cognitive rehabilitation. The aim of this research work is to develop a cognitive process-modeling tool. The purpose of this system is, in the first term, to represent multidimensional data, from structural and functional connectivity, neuroimaging, data from lesion studies and derived data from clinical intervention [2][3]. This will allow to identify consolidated knowledge, hypothesis, experimental designs, new data from ongoing studies and emerging results from clinical interventions. In the second term, we pursuit to use Artificial Intelligence to assist in decision making allowing to advance towards evidence based and personalized treatments in cognitive rehabilitation. This work presents the knowledge base design of the knowledge representation tool. It is compound of two different taxonomies (structure and function) and a set of tags linking both taxonomies at different levels of structural and functional organization. The remainder of the abstract is organized as follows: Section 2 presents the web application used for gathering necessary information for generating the knowledge base, Section 3 describes knowledge base structure and finally Section 4 expounds reached conclusions.

Towards concept identification using a knowledge-intensive approach

This paper presents a method for identifying concepts in microposts and classifying them into a predefined set of categories. The method relies on the DBpedia knowledge base to identify the types of the concepts detected in the messages. For those concepts that are not classified in the ontology we infer their types via the ontology properties which characterise the type.

ExperNet: An Intelligent Multiagent System for WAN Management

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 into the system through sophisticated information exchange interfaces. For the implementation of the agents, a distributed Prolog system enhanced with networking facilities was developed. The agents’ knowledge base is developed in an extensible and reactive knowledge base system capable of handling multiple types of knowledge representation. ExperNet has been developed, installed and tested successfully in an experimental network zone of Ukraine.

Género y transporte: análisis de la movilidad del cuidado como punto de partida para construir una base de conocimiento más amplia de los patrones de movilidad. El caso de Madrid

Las limitaciones en la capacidad de movilidad pueden ser consideradas en la actualidad como una forma de discriminación tremenda y a la vez invisible dentro de la sociedad. Para poder evitar esta discriminación es necesario que las políticas de transporte, que hasta ahora han basado sus actuaciones particularmente sobre las necesidades de acceso al empleo, reconozcan las exigencias de las personas dependientes y de aquellas que realizan las tareas no remuneradas del cuidado de otros y de atención a la familia. Las personas que trabajan en las tareas domésticas, en la mayoría de los casos mujeres, tienen muchas dificultades para sincronizar sus obligaciones con los tiempos y las distancias. Estas personas desempeñan un trabajo diario, que tiene lugar tanto fuera como dentro del hogar y tienen necesidades específicas de movilidad. El problema principal es que este tipo de trabajo no suele ser tomado en consideración, ya que no entra en la esfera del trabajo remunerado. Pero es una labor que está estrictamente ligada a la actividad de la sociedad y es un elemento indispensable para el funcionamiento de la vida urbana. Es un trabajo real, que tiene lugar en el espacio urbano, que exige un considerable esfuerzo físico y emocional, y que ayuda a garantizar la calidad de la vida cotidiana. Es un aspecto indispensable a tener en cuenta en el ejercicio de las políticas públicas y sociales. Sobre la base de estas consideraciones se introduce el concepto “Movilidad del cuidado” (Sánchez de Madariaga, 2009a y 2009b), mediante el cual se reconoce la necesidad de evaluar y hacer visible los desplazamientos diarios asociados con el trabajo del cuidado. Por trabajo del cuidado se entiende el trabajo no remunerado, realizado por los adultos para los niños u otras personas dependientes, incluido el trabajo relacionado con el mantenimiento del hogar. El análisis de este tipo de viajes exige ciertos cambios significativos en las formas de recoger datos estadísticos. No se trata solo de sumar los desplazamientos que actualmente aparecen en las estadísticas como viajes de compras, acompañamiento, gestiones, cuidado de otros, etc. El problema es que los datos sobre movilidad se recogen con una serie de sesgos que infravaloran los viajes de cuidado: las estadísticas no cuentan los viajes cortos a pie y tampoco reflejan bien los viajes encadenados, ambos típicamente femeninos; no se deslindan con precisión los viajes de cuidado de otro tipo de viajes, de manera que muchos desplazamientos relacionados con la esfera reproductiva aparecen como viajes personales o de ocio y en muchos casos se encasillan en la categoría otros. Mediante esta investigación se pretende estimar el peso que la movilidad del cuidado tiene en el total de la movilidad y describirla de manera precisa en un contexto geográfico determinado, en el caso específico Madrid. Los estudios sobre el tema realizados hasta el momento reconocen la necesidad de llevar a cabo encuestas de movilidad que tengan en cuenta las variables socio económicas que caracterizan a la población y también se demanda la segregación de los datos recogidos por sexo, así como el uso del género como una categoría analítica. Igualmente es indispensable atribuir la misma importancia que tienen los viajes relacionados con la esfera productiva a los que están relacionados con la esfera reproductiva. No obstante, es solo mediante la introducción del concepto de “movilidad del cuidado” que se propone una nueva categorización de los motivos de desplazamiento dentro de las “clásicas” encuestas de movilidad y, por primera vez, mediante esta investigación se aplica este concepto a un ejemplo práctico a partir del cual queda en evidencia la necesidad de un cambio de enfoque en las políticas de transporte. Así, a través el uso de encuestas cuantitativas y cualitativas realizadas ad hoc sobre la base de la metodología propuesta, se capturan los patrones de viajes significativos para poder describir en maneara exhaustiva la movilidad de las personas que tienen responsabilidades de cuidado. El objetivo es crear una base de conocimiento más amplia sobre los patrones de movilidad, comportamientos y necesidades, además de mejorar los conceptos operacionales y establecer políticas de transporte más equitativas, que respondan de mejor manera a las necesidades de género, beneficiando así a toda la sociedad. ABSTRACT Nowadays, limitations in urban mobility can be considered as some type of extreme discrimination, which remains invisible to the society. In order to avoid this kind of discrimination, new transport policies are required, especially considering that so far they have been based and organized particularly in relation to the needs derived from the access to employment. These policies must take into account the demands of people depending on the support of others as well as of unpaid caregivers in charge of looking after other individuals and taking care of the family. Most of the people devoted to domestic work, which in the vast majority of cases is carried out by women, find it difficult to coordinate their obligations with time and distances. These people carry out a daily job that takes place both inside their homes as well as outside, and they have specific mobility needs. The main issue is that this type of work is usually not taken into consideration, since it is not included under the scope of paid employment. However, this work is strictly related to the activities of society and is therefore a crucial element in the functioning of urban life. It is an actual job that takes place in an urban space, requires a considerable amount of physical and emotional effort and guarantees quality of life on a daily basis. This is an important aspect that should be taken into account when drafting public and social policies. The concept of “Mobility of care” (Sánchez de Madariaga, 2009a and 2009b) is introduced under these considerations. This concept acknowledges the need to evaluate and identify daily movements from one place to another that are related to caregiving. Caregiving is understood, in this case, as unpaid work that is carried out by adults for children and other people that depend on the support of others, and it also includes duties related to home maintenance. The analysis of these types of movements requires some significant changes in the way in which statistic data is gathered. The idea is to not only add up the movements that appear in statistics such as shopping trips, accompanying someone, dealings, caregiving, etc. The problem with data on mobility is that it is gathered with bias that undervalues mobility related to caregiving: statistics do not take into consideration short trips that are made walking nor do they properly reflect connected trips, both of which are typically feminine; moreover, there is an imprecise differentiation of trips related to caregiving and other kind of trips, and because of that, many of the trips related to the reproductive sphere are considered personal or recreational trips, and are many times labelled as others. This investigation aims to evaluate the importance that mobility of care has in mobility in general, describing it in a precise manner within a specific geographical context that in this case is Madrid. To this date, most of the studies on this subject have acknowledged the need to carry out mobility surveys that include socio economic variables that characterize the population and they have also requested that collected data is segregated by sex and that gender is used as an analytical category. Likewise, it is fundamental to give the same importance to mobility related to the sphere of reproduction as to that related to the sphere of productiveness. However, it is only through the implementation of the concept of “mobility of care” that a new categorization of mobility, within classic mobility surveys, is proposed. Also, for the first time and by this investigation, this concept is applied to a practical case, shining a light on the need to change the focus of transport policies. Through the use of ad hoc quantitative and qualitative surveys based on the proposed methodology, the patterns of relevant movements are identified in order to thoroughly describe the mobility of people responsible of caregiving. The aim is to create a broader knowledge base on patterns of mobility, behaviour and necessities, in addition to improving functional concepts and transport policies to make them more equitable and responsive to gender needs, thus benefitting society as a whole.

Multipedia: Enriching DBpedia with Multimedia Information

Enriching knowledge bases with multimedia information makes it possible to complement textual descriptions with visual and audio information. Such complementary information can help users to understand the meaning of assertions, and in general improve the user experience with the knowledge base. In this paper we address the problem of how to enrich ontology instances with candidate images retrieved from existing Web search engines. DBpedia has evolved into a major hub in the Linked Data cloud, interconnecting millions of entities organized under a consistent ontology. Our approach taps into the Wikipedia corpus to gather context information for DBpedia instances and takes advantage of image tagging information when this is available to calculate semantic relatedness between instances and candidate images. We performed experiments with focus on the particularly challenging problem of highly ambiguous names. Both methods presented in this work outperformed the baseline. Our best method leveraged context words from Wikipedia, tags from Flickr and type information from DBpedia to achieve an average precision of 80%.

A Multi-Agent System for the Solution of Fuzzy Incidents in Telecommunications

This article presents a multi-agent expert system (SMAF) , that allows the input of incidents which occur in different elements of the telecommunications area. SMAF interacts with experts and general users, and each agent with all the agents? community, recording the incidents and their solutions in a knowledge base, without the analysis of their causes. The incidents are expressed using keywords taken from natural language (originally Spanish) and their main concepts are recorded with their severities as the users express them. Then, there is a search of the best solution for each incident, being helped by a human operator using a distancenotions between them.

A Multiagent system model which suggests solutions to fuzzy incidents in the field of telecommunications

This article presents the model of a multi-agent system (SMAF), which objectives are the input of fuzzy incidents as the human experts express them with different severities degrees and the further search and suggestion of solutions. The solutions will be later confirm or not by the users. This model was designed, implemented and tested in the telecommunications field, with heterogeneous agents in a cooperative model. In the design, different abstract levels where considered, according to the agents? objectives, their ways to carry it out and the environment in which they act. Each agent is modeled with different spectrum of the knowledge base

Solving Incidents in Telecommunications Using a Multiagent System

This article presents the model and implementation of a multiagent fuzzy system (MAFS), to automate the search of solutions of incidents in telecommunications, expressed by the users in an imprecise way and, later, registered in a a knowledge base keeping their original vaguenesses and the relationships between the incidents considered as ancestors and descendants. The process of the fuzzy incidents, no matter their causes, is based on the application of a formula which transforms the intervals of the fuzzy incidents to a computational language and in the interaction between the different kinds of software agents and the humans. To search and suggest solutions of the incident originally stated, a search algorithm is used and illustrated with an example. The preliminary results obtained show the users' satisfaction, in a great percentage of the presented cases. The system is adaptive and allows to record new solutions for future users.