13 research outputs found

    Digital libraries and Web 3.0. The CallimachusDL approach

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    The constantly increasing volume of information available on the Internet is changing the forms of clas sification and access to data. Given the immense collection of information stored on the Internet, digital libraries constitute a fundamental subject of research. Among the challenges of classifying, locating and accessing knowledge in digital libraries tackling with the huge amount of resources the Web provides, improving digital libraries by means of different strategies, particularly, using semantics remains a prom ising and interesting approach. In this paper, CallimachusDL is presented, a semantics based digital library which provides faceted search, enhanced access possibilities and a proof of concept implementa tion. CallimachusDL represents a novel approach to digital libraries, integrating social web and multime dia elements in a semantically annotated repository. The results of the implementation indicate that the features proposed in CallimachusDL are encouraging and extendable in the use of digital libraries.Publicad

    Käsitteiden ”Web3”:n ja ”Web 3.0”:n määrittely ja niiden alle luokiteltujen teknologioiden soveltaminen

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    Tiivistelmä. Tässä tutkielmassa tutkittiin miten käsitteitä Web 3.0 ja Web3 käytettiin tieteellisissä tutkimuksissa, mitä niillä tarkoitetaan ja millaisia teknologioita niihin sisältyy. Lisäksi tarkasteltiin näiden teknologioiden potentiaalisia uhkia ja ongelmia. Tutkielma toteutettiin kirjallisuuskatsauksena. Tutkielman lähteiden perusteella selvisi, että Web 3.0 mielletään yhteneväisesti Web 2.0:n seuraajaksi, joka on puolestaan Web 1.0:n edeltäjä. Web 1.0 on käsitteenä määritelty määrittämään verkon alkuvaiheita, jolloin tieto liikkui pääasiassa yhteen suuntaan. Kun tiedon kuluttajat ottivat roolin myös sisällön tuottajina, alettiin tätä ajanjaksoa kutsua Web 2.0:ksi. Nyt nousseita uusia teknologioita halutaan luokitella uuden termin alle, joten termit Web 3.0 ja Web3 syntyivät. Ne toimivat usein synonyymeinä ja toisinaan myös eri teknologioita tarkoittavina termeinä. Yleisimmin Web 3.0:n alle luokitellaan lohkoketjuteknologiat ja hajautettu verkko. Web3 puolestaan liitetään yleisimmin semanttisten verkkojen yhteyteen. Näille teknologioille yhteistä on Web 2.0:n alle luokitelluista teknologioista eroavaisuus siinä, että tiedon omistajuusmalli muuttuisi hajautetuksi ja vapaammaksi. Uudet teknologiat tuovat mukanaan myös uusia käytännönsovellutuksia. Lohkoketjuteknologiat mahdollistavat uusia tapoja valmistaa sovelluksia, tallettaa tietoa, luoda maksuvälineitä, solmia terveysvakuutussopimuksia, suojella immateriaalioikeuksia, luoda uusia tapoja äänestää ja luoda peleihin uusia koukuttavia ominaisuuksia. Uudet ominaisuudet ja teknologiat tuovat kuitenkin mukanaan myös ongelmia ja uhkia. Semanttisen verkon ominaisuudet eivät toimi hyvin yhteen verkon nykyisen rakenteen kanssa ja lohkoketjuteknologian väärinkäytön mahdollisuus on korkea puutteellisten lainsäädännön ja standardien myötä. Nämä teknologiat ovat myös tuoneet mukanaan ympäristöongelmia valtavan resurssien kulutuksen ja elektroniikkajätteen myötä. Tutkielman tuloksena on katsaus verkon historiaan, siihen miten näitä käsitteitä käytetään ja millaisia teknologioita niihin liitetään. Tutkielma toimii nopeana tapana tutustua Web 3.0 ja Web 3 käsitteisiin ja niiden merkitykseen tieteellisessä kontekstissa

    Intelligent Knowledge Retrieval from Industrial Repositories

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    Actually, a large amount of information is stored in the industrial repositories. Accessing this information is complicated, and the techniques currently used in metadata and the material chosen by the user do not scale efficiently in large collections. The semantic Web provides a frame of reference that allows sharing and reusing knowledge efficiently. In our work, we present a focus for discovering information in digital repositories based on the application of expert system technologies, and we show a conceptual architecture for a semantic search engine. We used case-based reasoning methodology to create a prototype that supports efficient retrieval knowledge from digital repositories. OntoEnter is a collaborative effort that proposes a new form of interaction between users and digital enterprise repositories, where the latter are adapted to users and their surroundings

    SOLAR: Social Link Advanced recommendation system

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    In today’s information society, precise descriptions of the massive volume of online content available are crucial for responding to user needs adequately and efficiently. The Semantic Web Paradigm has recently advanced across many domains for the assignment of metadata to Internet content, in order to define it with explicit, machine-readable meaning. This content has become so extensive that it must be refined according to user preferences to avoid information overload. The current paper proposes a framework for the association of semantic data to webpage links based on a specific domain ontology, additionally permitting the user to express his opinion regarding his emotions about the content of the link. This data is further exploited to suggest additional links to the user, based on the semantic metadata and the level of user satisfaction with previously viewed content. A comprehensive evaluation of the tool has demonstrated a high level of user satisfaction with the features of the system.This work is supported by the Spanish Ministry of Industry, Tourism, and Commerce under the project SONAR (TSI-340000-2007-212), GODO2 (TSI-020100-2008-564) and SONAR2 (TSI-020100-2008-665), under the PIBES project of the Spanish Committee of Education & Science (TEC2006-12365-C02-01) and the MID-CBR project of the Spanish Committee of Education & Science (TIN2006-15140-C03-02)

    Pengalaman Informasi Pemilih Pemula Menggunakan Media Sosial sebagai Sarana Pembelajaran Politik dalam Menentukan Pilihan Calon Presiden

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    Media sosial merupakan suatu hal yang tidak dapat dipisahkan dari kehidupan sehari-hari para pemilih pemula (digital native). Digital native cenderung menggunakan media sosial sebagai wadah belajar, tidak terkecuali dalam konteks mencari informasi mengenai politik. Media sosial digunakan sebagai media untuk belajar dan mengenal pasangan calon persiden dan wakil presiden. Melalui media sosial tersebut para pemilih pemula baik secara sengaja ataupun tidak, pasti akan berinteraksi dengan informasi seputar politik pencalonan presiden dan wakil presiden. Penelitian ini bertujuan untuk menangkap gambaran pengalaman informasi pemilih pemula menggunakan media sosial sebagai sarana pembelajaran politik dalam menentukan pilihan calon presiden dan wakil presiden. Metode penelitian yang digunakan adalah metode kualitatif dengan pendekatan fenomenografi. Wawancara semi terstruktur digunakan sebagai teknik pengumpulan data. Hasil penelitian menujukan bahwa pengalaman informasi para pemilih pemula menggunakan media sosial sebagai media untuk mempelajari profil calon presiden, belajar berdemokrasi dengan berpendapat dalam kolom komentar, serta belajar menganalisis dan mengidentifikasi berita palsu seputar pemilu.ABSTRACTSocial media has become an important part for most of people nowadays. It has been used for many purposes such as sharing and looking for information. This research is looking for the information experience of first-time voters after the presidential election. It seeks to understand how this group of voters have used social media for finding and using information about the Indonesian Presidential Candidates, and to what extend the information they get have influenced their opinion about the two candidates. This research employed qualitative methods by using phenomenography approach. A semi-structured interview was used to collect data. The findings show that most of the first-time voters used social media to get to know better about the two candidates. It was one of their information sources when they need information about the presidential candidate profiles. Secondly, social media is the common place for most of the participants for sharing and expressing their opinions and ideas related to the candidates. Most interestingly, it was through social media that some participants have recognized that some information that are available online not necessarily valid. They found that some of them are fake news, and they even have identified some accounts were intentionally distributing fake news publicly

    SEAN: multi-ontology semantic annotation for highly accurate closed domains

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    Semantic annotation has gained momentum with the emergence of the current user-generated content paradigm on the Web. The ever-growing quantity of collaborative data sources has resulted in the requirement for efficient approaches to create, integrate and retrieve information more efficiently in an environment where the users ask for accurate information. The main research challenge of the current work is using manual semantic annotation in a highly accurate closed domain, a conceptual domain with a minimal set of concepts where the benefits of adding semantics, search efficiency, optimization and the cost estimations are viable. This paper presents a semantic annotation approach for highly accurate closed domain based on multi-ontology annotation (domain and application ontologies).Publicad

    PB-ADVISOR: A private banking multi-investment porfolio.

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    Private banking is a business area in which the investor requires tailor-made advice. Because of the current market situation, investors are requiring answers to difficult questions and looking for assurance from wealth managers. Private bankers need to have deep knowledge about an innumerable list of products and their characteristics as well as the suitability of each product for the client’s characteristics to be able to offer an optimal portfolio according to client expectations. Client and portfolio diversity calls for new recommendation and advice systems focused on their specific characteristics. This paper presents PB-ADVISOR, a system aimed at recommending investment portfolios based on fuzzy and semantic technologies to private bankers. The proposed system provides private bankers with a powerful tool to support their decision process and help deal with complex investment portfolios. The system has been evaluated in a real scenario obtaining promising results

    Gestão de riscos viários utilizando gestão de conhecimento por indicadores

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    Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia e Gestão do Conhecimento, Florianópolis, 2011O objetivo desta dissertação é a melhoria do apoio a tomada de decisão em atividades de prevenção, atendimento e recuperação, visando agilizar as diferentes etapas de um processo de gestão de risco de malhas viárias. Para tanto, é efetuada a análise de um modelo de Gestão de Riscos Viários, que se utiliza de Geointeligência (Sistema de Informações Geográfica - GIS + Inteligência Artificial - IA), através da gestão de conhecimento. Cinco alterações foram implantadas no sistema analisado: Inserção de Novas Fontes de Dados, Mapeamento de Situações de Risco de Desastres Pluviais, Automatização de Análises de Riscos Pluviais, Alteração de Indicadores e Ações de Prevenção Existentes e Visualização dos Riscos e Ações de Prevenção. Estas implementações proporcionaram um ganho de aproximadamente 74% na redução do tempo de identificação de riscos e suas possíveis soluções.The purpose of this dissertation is to improve support to decision making activities of prevention, care and recovery, streamline order the different steps of a process of risk management road network. To this end, the analysis is made of a model Risk Management Road, which uses Geointeligência (Geographic Information System - GIS + Artificial Intelligence - AI), through knowledge management. Five changes were implemented in the system analised: Inserting New Data Sources, Mapping of Storm Disaster Risk Situations, Automation Storm Risk Analysis, Change of Indicators and Preventive Actions and Existing View of Risk and Prevention Actions. These implementations reduced about 74% of the time needed to identify risks and their possible solutions

    An approach to the semantic intelligence cloud

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    Cloud computing is a disruptive technology that aims to provide a utility approach to computing, where users can obtain their required computing resources without investment in infrastructure, computing platforms or services. Cloud computing resources can be obtained from a number internal or external sources. The heterogeneity of cloud service provision makes comparison of services difficult, with further complexity being introduced by a number of provision approaches such as reserved purchase, on-demand provisioning and spot markets.The aim of the research was to develop a semantic framework for cloud computing services which incorporated Cloud Service Agreements, requirements, pricing and Benefits Management.The proposed approach sees the development of an integrated framework where Cloud Service Agreements describe the relationship between cloud service providers and cloud service users. Requirements are developed from agreements and can use the concepts, relationships and assertions provided as requirements. Pricing in turn is established from requirements. Benefits Management is pervasive across the semantic framework developed.The methods used were to provide a comprehensive review of literature to establish a good theoretical basis for the research undertaken. Then problem solving ontology was developed that defined concepts and relationships for the proposed semantic framework. A number of case studies were used to populate the developed ontology with assertions. Reasoning was used to test the framework was correct.The results produced were a proposed framework of concepts, relationships and assertions for a cloud service descriptions, which are presented as ontology in textual and graphical form. Several parts of the ontology were published on public ontology platforms and, in journal and conference papers.The original contribution to knowledge is seen in the results produced. The proposed framework provides the foundations for development of a unified semantic framework for cloud computing service description and has been used by other researchers developing semantic cloud service description.In the area of Cloud Service Agreements a full coverage of the documents described by major standards organisations have been encoded into the framework. Requirements have been modelled as a unique multilevel semantic representation. Pricing of cloud services has been developed using semantic description that can be mapped to requirements. The existing Benefits Management approach has been reimplemented using semantic description.In conclusion a proposed framework has been developed that allows the semantic description of cloud computing services. This approach provides greater expression than simplistic frameworks that use mathematical formulas or models with simple relationships between concepts. The proposed framework is limited to a narrow area of service description and requires expansion to be viable in a commercial setting.Further work sees the development of software toolsets based on the semantic description developed to realise a viable product for mapping high level cloud service requirements to low level cloud resources
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