Aplicación de las wikis semánticas como herramienta de gestión del conocimiento operativo en un departamento de TICs

En este proyecto se ha tratado de estudiar la viabilidad de las wikis semánticas para el registro informal (pero consultable) de información operativa de un departamento de una empresa.

Uso de wikis semánticas

En el presente PFC vamos a estudiar a fondo las wikis semánticas, para tratar de plasmar primeramente el estado del arte de éstas, su aprovechamiento y uso real, más allá de su concepción teórica o prototípica. Posteriormente utilizaremos una de ellas para realizar un ejercicio práctico, cargando una ontología nueva desarrollada para ésta y probando la potencia de las consultas sobre ésta.

Herramientas de wikis semánticos

Este trabajo pretende hacer un análisis sobre la web semántica, centrándose en los wikis semánticos, definiendo qué son, cómo trabajan, estableciendo las situaciones en las que son necesarios..., y concluyendo con un estado del arte de las herramientas que se nos ofrecen y analizando una de ellas.

Wikis semàntiques : Què són? Com són? Com treballen? Quan calen?

En aquest treball s'analitza el funcionament de Semantic MediaWiki, que es basa en MediaWiki, una wiki tradicional mundialment coneguda per ser la base amb què es va desenvolupar Wikipedia. Abans s'identifiquen les principals tecnologies de la web semàntica i es defineix el propòsit de les wikis semàntiques.

Uso de wikis semánticas

En este trabajo se ha realizado una tarea de investigación con la finalidad de construir una ontología para cargarla en una wiki semántica y así analizar su funcionamiento.

Uso de wikis semánticas

Este es el producto obtenido del proyecto final de carrera sobre el uso de wikis semánticas en el que se describen lo que son ontologías, sus lenguajes, las wikis semánticas y un caso práctico.

Wikis semánticas

Introducción a las wikis semánticas: ¿Qué son? ¿Cómo son? ¿Cómo trabajan? ¿Cuándo hacen falta?

AgilITIL : creación de una wiki semántica de soporte a los procesos de control

Este trabajo tiene como objetivo crear una Wiki Semántica que sirva de soporte para un modelo de gestión de servicios ágil, colaborativo y fácilmente implantable en las organizaciones denominadas pymes. En este tipo de organizaciones el posicionamiento inicial, ante la adopción de políticas como las sugeridas en ITIL, suele ser de rechazo, por la cantidad de trabajo añadido que previsiblemente genera. La Web Semántica aporta al conjunto la capacidad para establecer reglas de gestión del conocimiento, factor determinante para el crecimiento de una organización. El marco de recomendaciones ITIL es muy extenso y en este trabajo se pretende dar respuesta a los procesos de control pertenecientes a la fase del ciclo de vida denominada "Transición del Servicio". Estos procesos son: la gestión de la configuración, la gestión del cambio y la gestión de la entrega y despliegue.

Personalized touristic routes implementing semantic web on GIS

Nowadays, when a user is planning a touristic route is very difficult to find out which are the best places to visit. The user has to choose considering his/her preferences due to the great quantity of information it is possible to find in the web and taking into account it is necessary to do a selection, within small time because there is a limited time to do a trip. In Itiner@ project, we aim to implement Semantic Web technology combined with Geographic Information Systems in order to offer personalized touristic routes around a region based on user preferences and time situation. Using ontologies it is possible to link, structure, share data and obtain the result more suitable for user's preferences and actual situation with less time and more precisely than without ontologies. To achieve these objectives we propose a web page combining a GIS server and a touristic ontology. As a step further, we also study how to extend this technology on mobile devices due to the raising interest and technological progress of these devices and location-based services, which allows the user to have all the route information on the hand when he/she does a touristic trip. We design a little application in order to apply the combination of GIS and Semantic Web in a mobile device.

Engaging students in an e-learning experience : how to manage information resources through wikis and web blogs

The purpose of this paper is to describe the collaboration between librarians and scholars, from a virtual university, in order to facilitate collaborative learning on how to manage information resources. The personal information behaviour of e-learning students when managing information resources for academic, professional and daily life purposes was studied from 24 semi-structured face-to-face interviews. The results of the content analysis of the interview' transcriptions, highlighted that in the workplace and daily life contexts, competent information behaviour is always linked to a proactive attitude, that is to say, that participants seek for information without some extrinsic reward or avoiding punishment. In the academic context, it was observed a low level of information literacy and it seems to be related with a prevalent uninvolved attitude.

Enterprise semantic Web

This document is a journey through Semantic Web principles and Microsoft SharePoint in order to come to understand some advantages and disadvantages of theirs, and how Semantic Web principles can be blended into an enterprise solution like Microsoft SharePoint.

A semantic model of selective dissemination of information for digital libraries

In this paper we present the theoretical and methodologicalfoundations for the development of a multi-agentSelective Dissemination of Information (SDI) servicemodel that applies Semantic Web technologies for specializeddigital libraries. These technologies make possibleachieving more efficient information management,improving agent–user communication processes, andfacilitating accurate access to relevant resources. Othertools used are fuzzy linguistic modelling techniques(which make possible easing the interaction betweenusers and system) and natural language processing(NLP) techniques for semiautomatic thesaurus generation.Also, RSS feeds are used as “current awareness bulletins”to generate personalized bibliographic alerts.

Definitional verbal patterns for semantic relation extraction

In this paper we present a description of the role of definitional verbal patterns for the extraction of semantic relations. Several studies show that semantic relations can be extracted from analytic definitions contained in machine-readable dictionaries (MRDs). In addition, definitions found in specialised texts are a good starting point to search for different types of definitions where other semantic relations occur. The extraction of definitional knowledge from specialised corpora represents another interesting approach for the extraction of semantic relations. Here, we present a descriptive analysis of definitional verbal patterns in Spanish and the first steps towards the development of a system for the automatic extraction of definitional knowledge.

A method for extracting semantic information from on-line art music discussion forums

In this paper a method for extracting semantic informationfrom online music discussion forums is proposed. The semantic relations are inferred from the co-occurrence of musical concepts in forum posts, using network analysis. The method starts by defining a dictionary of common music terms in an art music tradition. Then, it creates a complex network representation of the online forum by matchingsuch dictionary against the forum posts. Once the complex network is built we can study different network measures, including node relevance, node co-occurrence andterm relations via semantically connecting words. Moreover, we can detect communities of concepts inside the forum posts. The rationale is that some music terms are more related to each other than to other terms. All in all, this methodology allows us to obtain meaningful and relevantinformation from forum discussions.

Using qualia information to identify lexical semantic classes in an unsupervised clustering task

Acquiring lexical information is a complex problem, typically approached by relying on a number of contexts to contribute information for classification. One of the first issues to address in this domain is the determination of such contexts. The work presented here proposes the use of automatically obtained FORMAL role descriptors as features used to draw nouns from the same lexical semantic class together in an unsupervised clustering task. We have dealt with three lexical semantic classes (HUMAN, LOCATION and EVENT) in English. The results obtained show that it is possible to discriminate between elements from different lexical semantic classes using only FORMAL role information, hence validating our initial hypothesis. Also, iterating our method accurately accounts for fine-grained distinctions within lexical classes, namely distinctions involving ambiguous expressions. Moreover, a filtering and bootstrapping strategy employed in extracting FORMAL role descriptors proved to minimize effects of sparse data and noise in our task.