30 research outputs found

    Seismicity and distribution of maximum intensity in territory of Kosovo, Period 2008- 2014

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    In this scientific work are presented basic characteristics of the seismicity of Kosovo, for the period 2008 to 2014 with emphasis on the most active regions. The territory of Kosovo is characterized by a relatively high seismic activity. Compilation, study and updating of earthquake data was made in order to define intensity distribution for territory of Kosovo, which will provide a basis for determination of the main characteristics of the seismicity in territory of Kosovo. These investigations have great significance from scientific and applied aspect and provide reliable of Kosovo seismicity. Results can be used as input for further investigations in the field of seismic hazard, risk assessment, engineering seismology as well for physical and urban land use planning and design in seismic prone areas

    Search and Delivery of Standardized Learning Resources Based on SOAP Messaging and Native XML Databases

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    With the progress of Web-based learning technologies, standardized digital repositories and learning management systems are becoming prevalent over time. The heterogeneity in underlying databases and access methods, however, makes it difficult to share and exchange the learning resources between them. In this paper, we propose an architecture for the search and delivery of learning resources. Based on the SOAP transmission protocol, the architecture seeks to improve interoperability between heterogeneous E-Learning implementations. We also present a general-purpose query language as a building block of the architecture. The language provides a unified query interface for resource repositories, thereby shielding the users from the differences in underlying databases and metadata schemas. To highlight our design, an implementation using LOM, native XML database and XPath is presented. The last part of this paper discusses technical and pedagogical issues of concern regarding the launching of contents from within standardized LMSs

    Service interdependencies: insight into use cases for service composition

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    The paper analyses several most appealing use cases for Semantic Web services and their composition. They are considered from the perspective of service types, QoS parameters, semantic description and user preferences. We introduce different levels of service composition and discuss implications of the above.Applications in Artificial Intelligence - Ontologies and Intelligent WebRed de Universidades con Carreras en Informática (RedUNCI

    Transformation and revitalization approach of cultural heritage in Prizren in the 20th century

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    It is well known that cultural heritage is said to have never reached to now its source state. Over time they have undergone changes depending on the circumstances of the time. Changes and modifications that affect the monuments can be divided into two main groups. The first group comprises mainly privately owned buildings, especially residential buildings where the owners have made various arbitrary modifications depending on their needs. The second group includes state-owned public buildings or various religious-social communities that have served the general public. Interventions in this group (second) were mainly carried out by the competent institutions that were obliged to preserve and promote cultural heritage. So there are times when monuments, ensembles or entire complexes have been demolished to pave the way for new urban planning with new buildings for the general good of the population . Monuments that have survived new urban adjustments, conflicts and wars, and natural disasters, some of them have been abandoned at the mercy of time while the rest have been reused for different cultural, tourist and commercial needs. During the reuse process the “restoration” interventions were different depending on the ultimate purpose planned for the monument. In general the preservation of the originality and the identity of the monument was the criterion that was least important during restoration-conservation and revitalization interventions. The main focus was on the new function of the monument, thus mutilating the original parts and elements of the monument. These modifications were made in order to change the source identity of the monument, to adopt the monument as a legacy of their culture, and to make the monument adopted for a new function as functional as possible. Of course these changes have often not been the proposals of heritage specialists and they have usually been opposed by them, but the social system and various national and commercial interests have ignored their suggestions. In this study we will analyze some of the buildings of various public and private typologies in Prizren that have been restored and revitalized in the XX and XXI century. A brief analysis of the interventions will be made for: Archaeological Museum, Church of St. Spas, Gazi Mehmed Pasha\u27s Hammam, Church of St. Friday, Complex of Prizren League, City Fortress, Beledije Building, Shehzada House, Complex Arasta, Shadervan Square, etc

    Beyond Harvesting: Digital Library Components as OAI Extensions

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    Reusability always has been a controversial topic in Digital Library (DL) design. While componentization has gained momentum in software engineering in general, there has not yet been broad DL standardization in component interfaces. Recently, the Open Archives Initiative (OAI) has begun to address this by creating a standard protocol for accessing metadata archives. It is proposed that this protocol be extended to act as the glue that binds together various components of a typical DL. In order to test the feasibility of this approach, a set of protocol extensions was created, implemented, and integrated as components of production and research DLs. The performance of these components was analyzed from the perspective of execution speed, network traffic, and data consistency. On the whole, this work has simultaneously revealed the feasibility of such OAI extensions for component interaction, and has identified aspects of the OAI protocol that constrain such extensions

    Overview of Digital Library Components and Developments

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    Digital libraries are being built upon a firm foundation of prior work as the high-end information systems of the future. A component architecture approach is becoming popular, with well established support for key components like the repository, especially through the Open Archives Initiative. We consider digital objects, metadata, harvesting, indexing, searching, browsing, rights management, linking, and powerful interfaces. Flexible interaction will be possible through a variety of architectures, using buses, agents, and other technologies. The field as a whole is undergoing rapid growth, supported by advances in storage, processing, networking, algorithms, and interaction. There are many initiatives and developments, including those supporting education, and these will certainly be of benefit in Latin America

    A Scalable Architecture for Harvest-Based Digital Libraries

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    This article discusses the requirements of current and emerging applications based on the Open Archives Initiative (OAI) and emphasizes the need for a common infrastructure to support them. Inspired by HTTP proxy, cache, gateway and web service concepts, a design for a scalable and reliable infrastructure that aims at satisfying these requirements is presented. Moreover, it is shown how various applications can exploit the services included in the proposed infrastructure. The article concludes by discussing the current status of several prototype implementations

    Mondatrész-felfedezés önszervező tanulással

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    A cikkben egy újszer gépi tanulási módszer elméleti hátterét és az első kísérlet végrehajtását ismertetjük. A módszer lényege, hogy a nyelvmodellben nem valamilyen generatív nyelvtant, hanem pusztán mondattani mintákat feltételezünk, és a rendszert nem elemzési vagy eldöntési feladattal teszteljük, hanem mondatok hasonlóságának felismerésével

    Identifying Features and Predicting Consumer Helpfulness of Product Reviews

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    Major corporations utilize data from online platforms to make user product or service recommendations. Companies like Netflix, Amazon, Yelp, and Spotify rely on purchasing trends, user reviews, and helpfulness votes to make content recommendations. This strategy can increase user engagement on a company\u27s platform. However, misleading and/or spam reviews significantly hinder the success of these recommendation strategies. The rise of social media has made it increasingly difficult to distinguish between authentic content and advertising, leading to a burst of deceptive reviews across the marketplace. The helpfulness of the review is subjective to a voting system. As such, this study aims to predict product reviews that are helpful and enable strategies to moderate a user review post to improve the helpfulness quality of a review. The prediction of review helpfulness will utilize NLP methods against Amazon product review data. Multiple machine learning principles of different complexities will be implemented in this review to compare the results and ease of implementation (e.g., Naïve Bayes and BERT) to predict a product review\u27s helpfulness. The result of this study concludes that review helpfulness can be effectively predicted through the deployment of model features. The removal of duplicate reviews, the imputing of review helpfulness based on word count, and the inclusion of lexical elements are recommended to be included in review analysis. The results of this research indicate that the deployment of these features results in a high F1-Score of 0.83 for predicting helpful Amazon product reviews
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