Web competitive intelligence methodology

Master’s Degree Dissertation

GI Systems for public health with an ontology based approach

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Semantic relations extraction from unstructured information for domain ontologies enrichment

Based in internet growth, through semantic web, together with communication speed improvement and fast development of storage device sizes, data and information volume rises considerably every day. Because of this, in the last few years there has been a growing interest in structures for formal representation with suitable characteristics, such as the possibility to organize data and information, as well as the reuse of its contents aimed for the generation of new knowledge. Controlled Vocabulary, specifically Ontologies, present themselves in the lead as one of such structures of representation with high potential. Not only allow for data representation, as well as the reuse of such data for knowledge extraction, coupled with its subsequent storage through not so complex formalisms. However, for the purpose of assuring that ontology knowledge is always up to date, they need maintenance. Ontology Learning is an area which studies the details of update and maintenance of ontologies. It is worth noting that relevant literature already presents first results on automatic maintenance of ontologies, but still in a very early stage. Human-based processes are still the current way to update and maintain an ontology, which turns this into a cumbersome task. The generation of new knowledge aimed for ontology growth can be done based in Data Mining techniques, which is an area that studies techniques for data processing, pattern discovery and knowledge extraction in IT systems. This work aims at proposing a novel semi-automatic method for knowledge extraction from unstructured data sources, using Data Mining techniques, namely through pattern discovery, focused in improving the precision of concept and its semantic relations present in an ontology. In order to verify the applicability of the proposed method, a proof of concept was developed, presenting its results, which were applied in building and construction sector.

Semantic adaptability for the systems interoperability

In the current global and competitive business context, it is essential that enterprises adapt their knowledge resources in order to smoothly interact and collaborate with others. However, due to the existent multiculturalism of people and enterprises, there are different representation views of business processes or products, even inside a same domain. Consequently, one of the main problems found in the interoperability between enterprise systems and applications is related to semantics. The integration and sharing of enterprises knowledge to build a common lexicon, plays an important role to the semantic adaptability of the information systems. The author proposes a framework to support the development of systems to manage dynamic semantic adaptability resolution. It allows different organisations to participate in a common knowledge base building, letting at the same time maintain their own views of the domain, without compromising the integration between them. Thus, systems are able to be aware of new knowledge, and have the capacity to learn from it and to manage its semantic interoperability in a dynamic and adaptable way. The author endorses the vision that in the near future, the semantic adaptability skills of the enterprise systems will be the booster to enterprises collaboration and the appearance of new business opportunities.

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The use of the Internet now has a specific purpose: to find information. Unfortunately, the amount of data available on the Internet is growing exponentially, creating what can be considered a nearly infinite and ever-evolving network with no discernable structure. This rapid growth has raised the question of how to find the most relevant information. Many different techniques have been introduced to address the information overload, including search engines, Semantic Web, and recommender systems, among others. Recommender systems are computer-based techniques that are used to reduce information overload and recommend products likely to interest a user when given some information about the user's profile. This technique is mainly used in e-Commerce to suggest items that fit a customer's purchasing tendencies. The use of recommender systems for e-Government is a research topic that is intended to improve the interaction among public administrations, citizens, and the private sector through reducing information overload on e-Government services. More specifically, e-Democracy aims to increase citizens' participation in democratic processes through the use of information and communication technologies. In this chapter, an architecture of a recommender system that uses fuzzy clustering methods for e-Elections is introduced. In addition, a comparison with the smartvote system, a Web-based Voting Assistance Application (VAA) used to aid voters in finding the party or candidate that is most in line with their preferences, is presented.

Web semántica: RDF y SGBD que lo soportan

En aquest treball es fa una breu introducció a la web semàntica i el seu estat actual. S'analitzen els llenguatges que hi ha a la base del munt de recomanacions del World Wide Web Consortium (XML, XML Schema, RDF i RDF Schema) i s'examinen diferents sistemes de gestió de bases de dades que donen suport a les metadades, que són la base de la web semàntica.

RDF i Web Semàntica

En aquest treball s'explica el concepte de Web Semàntica, junt amb la seva estructura i els diferents termes relacionats amb aquesta idea. A més, es fa especial atenció al paper dels sistemes gestors de bases de dades en aquest camp, tenint en compte sobretot el nivell de compatibilitat que ofereixen aquests per a tracta dades en notació RDF, basada en el llenguatge XML.

Llenguatges de consulta en l'àmbit de la Web Semàntica : Cas d'estudi SPARQL

El projecte es basa en estudiar i avaluar diferents sistemes gestors de bases de dades (SGBD) per desar informació dins del context de la Web Semàntica., tal com es veurà en el capítol 4. La Web Semàntica permet dotar de significat al contingut textual de la web, permetent que sigui interpretable per una màquina.

Ontologías Turísticas Geográficas : creación de una ontología sobre rutas turísticas (a Pie o en Bicicleta) por espacios naturales

El turismo es un área en constante crecimiento en la cual, la aparición de las nuevas tecnologías y, fundamentalmente, de Internet, ha tenido un gran impacto en los procedimientos internos de los agentes turísticos y en los métodos de contratación y de búsqueda de información por parte de los usuarios. Por otro lado, la cantidad ingente de información disponible en Internet y el gran desorden existente, provoca la aparición del concepto de Web semántica, una tecnología que dota a las máquinas de un nivel de compresión de la Web suficiente como para hacer de la búsqueda y el acceso a la información una tarea sencilla y natural. Este artículo trata, en primer lugar, de analizar el estado del arte de la Web semántica relacionada con el ámbito del turismo, presentando las ontologías turísticas disponibles en la actualidad para, a continuación, describir el desarrollo de una ontología específica dentro del dominio de las rutas turísticas. Con esta ontología, a través de un ejemplo, se trata de demostrar la utilidad de esta tecnología a la hora de catalogar información relacionada, disponible y dispersa por páginas Web en Internet.

An Ontology for Open Rubric Exchange on the Web

While the Internet has given educators access to a steady supply of Open Educational Resources, the educational rubrics commonly shared on the Web are generally in the form of static, non-semantic presentational documents or in the proprietary data structures of commercial content and learning management systems.With the advent of Semantic Web Standards, producers of online resources have a new framework to support the open exchange of software-readable datasets. Despite these advances, the state of the art of digital representation of rubrics as sharable documents has not progressed.This paper proposes an ontological model for digital rubrics. This model is built upon the Semantic Web Standards of the World Wide Web Consortium (W3C), principally the Resource Description Framework (RDF) and Web Ontology Language (OWL).

Llenguatges de consulta a l'àmbit de la Web Semàntica : Cas d'estudi SPARQL

El projecte es basa en estudiar i avaluar diferents sistemes gestors de bases de dades (SGBDs) per desar informació dins el context de la Web Semàntica. Els SGBDs hauran de tractar, emmagatzemar i gestionar la informació classificada segons uns criteris semàntics i interrelacionada amb conceptes afins, alhora que permetin la comunicació entre sistemes de manera transparent a l'usuari.

Desarrollo de una web semántica

Amb aquest projecte es vol solucionar aquesta manca d'accés a la informació i sobretot disposar d'un sistema que relacioni "tot amb tot", és a dir, muntar un sistema únic per documentar xarxa (física) independentment de l'element que es vulgui documentar. La idea és basar el projecte de documentació en una web semàntica basada en wiki semàntica amb un motor de cerca MediaWiki.

Composing Web Services

Web-palvelut muodostavat keskeisen osan semanttista web:iä. Ne mahdollistavat nykyaikaisen ja tehokkaan välineistön hajautettuun laskentaan ja luovat perustan palveluperustaisille arkkitehtuureille. Verkottunut automatisoitu liiketoiminta edellyttää jatkuvaa aktiivisuutta kaikilta osapuolilta. Lisäksi sitä tukevan järjestelmäntulee olla joustava ja sen tulee tukea monipuolista toiminnallisuutta. Nämä tavoitteet voidaan saavuttamaan yhdistämällä web-palveluita. Yhdistämisprosessi muodostuu joukosta tehtäviä kuten esim. palveluiden mallintaminen, palveluiden koostaminen, palveluiden suorittaminen ja tarkistaminen. Työssä on toteutettu yksinkertainen liiketoimintaprosessi. Toteutuksen osalta tarkasteltiin vaihtoehtoisia standardeja ja toteutustekniikoita. Myös suorituksen optimointiin liittyvät näkökulmat pyrittiin ottamaan huomioon.

A Semantic wiki for quality management in software development projects

Quality management has become a strategic issue for organisations and is very valuable to produce quality software. However, quality management systems (QMS) are not easy to implement and maintain. The authors' experience shows the benefits of developing a QMS by first formalising it using semantic web ontologies and then putting them into practice through a semantic wiki. The QMS ontology that has been developed captures the core concepts of a traditional QMS and combines them with concepts coming from the MPIu'a development process model, which is geared towards obtaining usable and accessible software products. Then, the ontology semantics is directly put into play by a semantics-aware tool, the Semantic MediaWiki. The developed QMS tool is being used for 2 years by the GRIHO research group, where it has manages almost 50 software development projects taking into account the quality management issues. It has also been externally audited by a quality certification organisation. Its users are very satisfied with their daily work with the tool, which manages all the documents created during project development and also allows them to collaborate, thanks to the wiki features.

Search and Discovery : OER's Open Loop

Open educational resources (OER) promise increased access, participation, quality, and relevance, in addition to cost reduction. These seemingly fantastic promises are based on the supposition that educators and learners will discover existing resources, improve them, and share the results, resulting in a virtuous cycle of improvement and re-use. By anecdotal metrics, existing web scale search is not working for OER. This situation impairs the cycle underlying the promise of OER, endangering long term growth and sustainability. While the scope of the problem is vast, targeted improvements in areas of curation, indexing, and data exchange can improve the situation, and create opportunities for further scale. I explore the way the system is currently inadequate, discuss areas for targeted improvement, and describe a prototype system built to test these ideas. I conclude with suggestions for further exploration and development.