<p>Denna rapport presenterar en undersökning av sex olika objekt-relationsmappningsramverk, nämligen Entity Framework, LINQ to SQL, NHibernate, Castle ActiveRecord, MyGeneration Doodads och Subsonic. Undersökningen redogör för styrkor och svagheter hos de olika ramverken samt diskuterar när respektive ramverk är lämpligt att använda.</p><p>De ramverk som bedömdes vara mest intressanta var NHibernate och Entity Framework, då de erbjuder flexibel mappning mellan domänmodellen och det underliggande databasschemat samt god tillgång till dokumentation och litteratur.</p><p>Undersökningen användes som grund för att besluta vilket av de aktuella ramverken som skulle användas vid en omskrivning av en existerande applikation för IT-konsultföretaget Sogeti. Det ramverk som ansågs mest lämpligt för applikationen var NHibernate.</p> / <p>This report presents a study of six different object-relational mapping frameworks, namely Entity Framework, LINQ to SQL, NHibernate, Castle ActiveRecord, MyGeneration Doodads and Subsonic. The study describes the strengths and weaknesses of the various frameworks and discusses when each framework is appropriate to use.</p><p>The frameworks that were judged to be the most interesting were NHibernate and Entity Framework, since they provide flexible mapping between the domain model and the underlying database schema as well as good availability of documentation and literature.</p><p>The study was used as a basis for deciding which of the frameworks that should be used in a rewrite of an existing application for the IT consulting company Sogeti. The framework that was considered the most appropriate for the application was NHibernate.</p>

[pt] Com o surgimento da Linked (Open) Data, uma série de novos e importantes desafios de pesquisa vieram à tona. A abertura de dados, como muitas vezes a Linked Data é conhecida, oferece uma oportunidade para integrar e conectar, de forma homogênea, fontes de dados heterogêneas na Web. Como diferentes fontes de dados, com recursos em comum ou relacionados, são publicados por diferentes editores, a sua integração e consolidação torna-se um verdadeiro desafio. Outro desafio advindo da Linked Data está na criação de um grafo denso de dados na Web. Com isso, a identificação e interligação, não só de recursos idênticos, mas também dos recursos relacionadas na Web, provê ao consumidor (data consumer) uma representação mais rica dos dados e a possibilidade de exploração dos recursos conectados. Nesta tese, apresentamos três abordagens para enfrentar os problemas de integração, consolidação e interligação de dados. Nossa primeira abordagem combina técnicas de informação mútua e programação genética para solucionar o problema de alinhamento complexo entre fontes de dados, um problema raramente abordado na literatura. Na segunda e terceira abordagens, adotamos e ampliamos uma métrica utilizada em teoria de redes sociais para enfrentar o problema de consolidação e interligação de dados. Além disso, apresentamos um aplicativo Web chamado Cite4Me que fornece uma nova perspectiva sobre a pesquisa e recuperação de conjuntos de Linked Open Data, bem como os benefícios da utilização de nossas abordagens. Por fim, uma série de experimentos utilizando conjuntos de dados reais demonstram que as nossas abordagens superam abordagens consideradas como estado da arte. / [en] With the emergence of Linked (Open) Data, a number of novel and notable research challenges have been raised. The openness that often characterises Linked Data offers an opportunity to homogeneously integrate and connect heterogeneous data sources on the Web. As disparate data sources with overlapping or related resources are provided by different data publishers, their integration and consolidation becomes a real challenge. An additional challenge of Linked Data lies in the creation of a well-interlinked graph of Web data. Identifying and linking not only identical Web resources, but also lateral Web resources, provides the data consumer with richer representation of the data and the possibility of exploiting connected resources. In this thesis, we present three approaches that tackle data integration, consolidation and linkage problems. Our first approach combines mutual information and genetic programming techniques for complex datatype property matching, a rarely addressed problem in the literature. In the second and third approaches, we adopt and extend a measure from social network theory to address data consolidation and interlinking. Furthermore, we present a Web-based application named Cite4Me that provides a new perspective on search and retrieval of Linked Open Data sets, as well as the benefits of using our approaches. Finally, we validate our approaches through extensive evaluations using real-world datasets, reporting results that outperform state of the art approaches.

The graduation thesis is focused above analysis of Legal Entity Income Tax and include new trends aplicated in the Czech Tax Administration. First there is described tax audit general procedure, including operations that are necesarry to do before of initiation of tax audit. Next there is carried out of tax audit till its finishing. After I try to meet readers with implementation of new audit instruments used in tax audit. In the practical part of my thesis there are the most frequent tax frauds and mistakes, from those I aimed for analysis for the problem of the rectyfiing items to claims of course all this operations are carried out with e-audit instruments, especially with analytic software IDEA.

Denna rapport presenterar en undersökning av sex olika objekt-relationsmappningsramverk, nämligen Entity Framework, LINQ to SQL, NHibernate, Castle ActiveRecord, MyGeneration Doodads och Subsonic. Undersökningen redogör för styrkor och svagheter hos de olika ramverken samt diskuterar när respektive ramverk är lämpligt att använda. De ramverk som bedömdes vara mest intressanta var NHibernate och Entity Framework, då de erbjuder flexibel mappning mellan domänmodellen och det underliggande databasschemat samt god tillgång till dokumentation och litteratur. Undersökningen användes som grund för att besluta vilket av de aktuella ramverken som skulle användas vid en omskrivning av en existerande applikation för IT-konsultföretaget Sogeti. Det ramverk som ansågs mest lämpligt för applikationen var NHibernate. / This report presents a study of six different object-relational mapping frameworks, namely Entity Framework, LINQ to SQL, NHibernate, Castle ActiveRecord, MyGeneration Doodads and Subsonic. The study describes the strengths and weaknesses of the various frameworks and discusses when each framework is appropriate to use. The frameworks that were judged to be the most interesting were NHibernate and Entity Framework, since they provide flexible mapping between the domain model and the underlying database schema as well as good availability of documentation and literature. The study was used as a basis for deciding which of the frameworks that should be used in a rewrite of an existing application for the IT consulting company Sogeti. The framework that was considered the most appropriate for the application was NHibernate.

The aim of this thesis is evaluation of synergy effects existence in a chosen consolidations subject. Joining of enterprises focuses on attaining certain advantage – synergy effect. This effect should be achieved in various fields. Financial indicators were chosen from theoretical presumptions and it will be finding, if there is a synergy effect in chosen consolidated groups.

This diploma thesis is focused on an evaluation of existence of synergic effects within consolidating subjects. Consolidated groups are defined by theoretical knowledge. Suitable indicators for evaluation of achieved synergic effects are suggested in the next step. Synergic effects are being observed by comparison of parent undertaking and consolidated group in chosen sphere. Based on an analysis, results are evaluated if the synergic effects are achieved.

The amount of data available on the web is constantly growing, and e-commerce websites are no exception. Considering the abundance of available information, finding offers for the same product in the catalogue of different retailers represents a challenge. This problem is an interesting one and addresses the needs of multiple actors. A customer is interested in finding the best deal for the product they want to buy. A retailer wants to keep up to date with the competition and adapt its pricing strategy accordingly. Various services already offer the possibility of finding duplicate products in catalogues of e-commerce retailers, but their solutions are based on matching a Global Trade Identification Number (GTIN). This strategy is limited because a GTIN may not be made publicly available by a competitor, may be different for the same product exported by the manufacturer to different markets or may not even exist for low-value products. The field of Entity Resolution (ER), a sub-branch of Natural Language Processing (NLP), focuses on solving the issue of matching duplicate database entries when a deterministic identifier is not available. We investigate various solutions from the the field and present a new model called Spring R-SupCon that focuses on low volume datasets. Our work builds upon the recently introduced model, R-SupCon, introducing a new learning scheme that improves R-SupCon’s performance by up to 74.47% F1 score, and surpasses Ditto by up 12% F1 score for low volume datasets. Moreover, our experiments show that smaller language models can be used for ER with minimal loss in performance. This has the potential to extend the adoption of Transformer-based solutions to companies and markets where datasets are difficult to create, like it is the case for the Swedish marketplace Fyndiq. / Mängden data på internet växer konstant och e-handeln är inget undantag. Konsumenter har idag många valmöjligheter varifrån de väljer att göra sina inköp från. Detta gör att det blir svårare och svårare att hitta det bästa erbjudandet. Även för återförsäljare ökar svårigheten att veta vilken konkurrent som har lägst pris. Det finns tillgängliga lösningar på detta problem men de använder produktunika identifierare såsom Global Trade Identification Number (förkortat “GTIN”). Då det finns en rad utmaningar att bara förlita sig på lösningar som baseras på GTIN behövs ett alternativt tillvägagångssätt. GTIN är exempelvis inte en offentlig information och identifieraren kan dessutom vara en annan när samma produkt erbjuds på en annan marknad. Det här projektet undersöker alternativa lösningar som inte är baserade på en deterministisk identifierare. Detta projekt förlitar sig istället på text såsom produktens namn för att fastställa matchningar mellan olika erbjudanden. En rad olika implementeringar baserade på maskininlärning och djupinlärning studeras i detta projekt. Projektet har dock ett särskilt fokus på “Transformer”-baserade språkmodeller såsom BERT. Detta projekt visar hur man generera proprietär data. Projektet föreslår även ett nytt inlärningsschema och bevisar dess fördelar. / Le volume des données qui se trouve sur l’internet est en une augmentation constante et les commerces électroniques ne font pas note discordante. Le consommateur a aujourd’hui beaucoup des options quand il decide d’où faire son achat. Trouver le meilleur prix devient de plus en plus difficile. Les entreprises qui gerent cettes plates-formes ont aussi la difficulté de savoir en tous moments lesquels de ses concurrents ont le meilleur prix. Il y-a déjà des solutions en ligne qui ont l’objectif de résoudre ce problème, mais ils utilisent un identifiant de produit unique qui s’appelle Global Trade identification number (ou GTIN). Plusieurs difficultés posent des barriers sur cette solution. Par exemple, GTIN n’est pas public peut-être, ou des GTINs différents peut-être assigne par la fabricante au même produit pour distinguer des marchés différents. Ce projet étudie des solutions alternatives qui ne sont pas basées sur avoir un identifiant unique. On discute des methods qui font la décision en fonction du nom des produits, en utilisant des algorithmes d’apprentissage automatique ou d’apprentissage en profondeur. Le projet se concentre sur des solutions avec ”Transformer” modèles de langages, comme BERT. On voit aussi comme peut-on créer un ensemble de données propriétaire pour enseigner le modèle. Finalement, une nouvelle method d’apprentissage est proposée et analysée.

Goal of research is to analyze the organizational and legal foundations of the development of the institute of children's self-government at the level of the municipality, determine the social technologies of its implementation and develop recommendations for the development of the institute of children's self-government for municipal authorities. In the course of research, the current state of the institution of children's self-government in Russia was analyzed; the main problems of the development of the institute of children's self-government are identified and the causes of these problems are established; recommendations were developed to overcome the identified problems in the development of the institute of children's self-government for municipal authorities. / Цель работы − проанализировать организационные и правовые основы развития института детского самоуправления на уровне муниципального образования, определить социальные технологии его реализации и разработать рекомендации развития института детского самоуправления для органов муниципального управления. В процессе исследования проанализировано текущее состояние института детского самоуправления в России; выявлены основные проблемы развития института детского самоуправления и установлены причины этих проблем; разработаны рекомендации по преодолению выявленных проблем в развитии института детского самоуправления для органов муниципального управления.

The purpose of this study is to design a database of resources for rational therapy. An investigation of the current health situation and reorientation towards primary health care (PHC) in South Africa evidenced the need for a database of resources which would meet the demand for rational therapy information made on the Helderberg College Library by various user groups as well as make a contribution to the national health information infrastructure. Rational therapy is viewed as an approach within PHC that is rational, common-sense, wholistic and credible, focusing on the prevention and maintenance of health. A model of the steps in database design was developed. A user study identified users' requirements for design and the conceptual schema was developed. The entities, attributes, relationships and policies were presented and graphically summarised in an Entity-Relationship (E-R) diagram. The conceptual schema is the blueprint for further design and implementation of the database. / Information Science / M.Inf.

This study analyses the nature and implementation of electronic commerce in order to identify possible problems for taxation and pinpoint those problems which may be relevant to South Africa. Solutions suggested by certain countries and institutions are evaluated for possible implementation in South Africa. The study suggests that although current taxation legislation in South Africa is apP'icable to electronic commerce transactions it is not sufficient to cater effectively for this type of business. The conclusion reached Is that international co-operation is essential in finding solutions. A number of recommendations are made regarding aspects of South African taxation legislation which need to be clarified through policy decisions. Title of / Taxation / M.Comm.