<p>Nowadays there are different forms and technologies for implementing web applications without much concern for their architectural model. Without a good and stable architecture those applications may fail during their operations. Thus, this thesis project is focused on exploring different architectural models for creation of web solutions. Moreover, this thesis project is also part of the collaboration between Linnaeus University and Ljungby municipality with the aim to create a system that grow up local economies by showing the local producers’ locations, providing customers with different information about the products etc. The result of the thesis shows that an application can be developed in various architectural models. The choice of one architectural model over another depends on the project needs. I found that by using ASP.NET MVC framework there is more separation of concerns, easy maintenance of the code, and unit testing for an application. Search engine of find local food system can be used to search for different local producer’s location and their services.</p><p> </p>

Nowadays there are different forms and technologies for implementing web applications without much concern for their architectural model. Without a good and stable architecture those applications may fail during their operations. Thus, this thesis project is focused on exploring different architectural models for creation of web solutions. Moreover, this thesis project is also part of the collaboration between Linnaeus University and Ljungby municipality with the aim to create a system that grow up local economies by showing the local producers’ locations, providing customers with different information about the products etc. The result of the thesis shows that an application can be developed in various architectural models. The choice of one architectural model over another depends on the project needs. I found that by using ASP.NET MVC framework there is more separation of concerns, easy maintenance of the code, and unit testing for an application. Search engine of find local food system can be used to search for different local producer’s location and their services.

Web forms are one of the main points of user interaction on the internet. It is important that these forms are developed to be accessible to as many people as possible. The project aims to reduce the complexity for application developers when developing accessible web forms that conform to the Web Content Accessibility Guidelines (WCAG) using HTML and React. The result is a prototype library that creates an abstraction that application developers can use to build accessible web forms that conform to the WCAG.

Web forms development for Web based applications is often expensive, laborious, error-prone, time consuming and requires a lot of effort. Web forms are used by many different people with different backgrounds and a lot of demands. There is a very high cost associated with the need to update the Web application systems to achieve these demands. A wide range of techniques and ideas to automate the generation of Web forms exist. These techniques and ideas however, are not capable of generating the most dynamic behaviour of form elements, and make Insufficient use of database metadata to control Web forms' generation and appearance. In this thesis different techniques are proposed that use RuleML and database metadata to build rulebases to improve the automatic and dynamic generation of Web forms. First this thesis proposes the use of a RuleML format rulebase using Reaction RuleML that can be used to support the development of automated Web interfaces. Database metadata can be extracted from system catalogue tables in typical relational database systems, and used in conjunction with the rulebase to produce appropriate Web form elements. Results show that this mechanism successfully insulates application logic from code and suggests that Abstract iii the method can be extended from generic metadata rules to more domain specific rules. Second it proposes the use of common sense rules and domain specific rules rulebases using Reaction RuleML format in conjunction with database metadata rules to extend support for the development of automated Web forms. Third it proposes the use of rules that involve code to implement more semantics for Web forms. Separation between content, logic and presentation of Web applications has become an important issue for faster development and easy maintenance. Just as CSS applied on the client side to control the overall presentation of Web applications, a set of rules can give a similar consistency to the appearance and operation of any set of forms that interact with the same database. We develop rules to order Web form elements and query forms using Reaction RuleML format in conjunction with database metadata rules. The results show the potential of RuleML formats for representing database structural and active semantics. Fourth it proposes the use of a RuleML based approach to provide more support for greater semantics for example advanced domain support even when this is not a DBMS feature. The approach is to specify most of the semantics associated with data stored in RDBMS, to overcome some RDBMSs limitations. RuleML could be used to represent database metadata as an external format.

Muitas informações disponíveis na Web estão armazenadas em bancos de dados on-line e são acessíveis somente após um usuário enviar uma consulta por meio de uma interface de busca. Essas informações estão localizadas em uma parte da Web conhecida como Web Oculta ou Web Profunda e, geralmente, são inacessíveis por máquinas de busca tradicionais. Uma vez que a forma de acessar os dados na Web Oculta se dá por intermédio de submissões de consultas, muitos trabalhos têm focado em como preencher automaticamente campos de formulários. Esta tese apresenta uma metodologia para o preenchimento de formulários na Web Oculta. Além disso, descreve uma categorização das técnicas de preenchimento de formulários existentes no estado da arte de coleta na Web Oculta, produzindo uma análise comparativa entre elas. A solução proposta descreve um método automático para seleção de valores para campos de formulários combinando heurísticas e técnicas de aprendizagem de máquina. Experimentos foram realizados em formulários reais da Web, de vários domínios, e os resultados indicam que a abordagem proposta apresenta desempenho comparável aos obtidos pelas técnicas do estado da arte, sendo inclusive significativamente diferente com base em avaliação estatística. / A large portion of the information on the Web is stored inside online databases. Such information is accessible only after the users submit a query through a search interface. TheWeb portion in which that information is located is called HiddenWeb or DeepWeb, and generally this part is inaccessible by traditional search engines crawlers. Since the only way to access the Hidden Web pages is through the query submissions, many works have focused on how to fill in form fields automatically, aiming at enhancing the amount of distinct information hidden behind Web forms. This thesis presents an automatic solution to value selection for fields in Web forms. The solution combines heuristics and machine learning techniques for improving the selection of values. Furthermore, this proposal also describes a categorization of form filling techniques and a comparative analysis between works in the state of the art. Experiments were conducted on real Web sites and the results indicated that our approach significantly outperforms a baseline method in terms of coverage without additional computational cost.

Muitas informações disponíveis na Web estão armazenadas em bancos de dados on-line e são acessíveis somente após um usuário enviar uma consulta por meio de uma interface de busca. Essas informações estão localizadas em uma parte da Web conhecida como Web Oculta ou Web Profunda e, geralmente, são inacessíveis por máquinas de busca tradicionais. Uma vez que a forma de acessar os dados na Web Oculta se dá por intermédio de submissões de consultas, muitos trabalhos têm focado em como preencher automaticamente campos de formulários. Esta tese apresenta uma metodologia para o preenchimento de formulários na Web Oculta. Além disso, descreve uma categorização das técnicas de preenchimento de formulários existentes no estado da arte de coleta na Web Oculta, produzindo uma análise comparativa entre elas. A solução proposta descreve um método automático para seleção de valores para campos de formulários combinando heurísticas e técnicas de aprendizagem de máquina. Experimentos foram realizados em formulários reais da Web, de vários domínios, e os resultados indicam que a abordagem proposta apresenta desempenho comparável aos obtidos pelas técnicas do estado da arte, sendo inclusive significativamente diferente com base em avaliação estatística. / A large portion of the information on the Web is stored inside online databases. Such information is accessible only after the users submit a query through a search interface. TheWeb portion in which that information is located is called HiddenWeb or DeepWeb, and generally this part is inaccessible by traditional search engines crawlers. Since the only way to access the Hidden Web pages is through the query submissions, many works have focused on how to fill in form fields automatically, aiming at enhancing the amount of distinct information hidden behind Web forms. This thesis presents an automatic solution to value selection for fields in Web forms. The solution combines heuristics and machine learning techniques for improving the selection of values. Furthermore, this proposal also describes a categorization of form filling techniques and a comparative analysis between works in the state of the art. Experiments were conducted on real Web sites and the results indicated that our approach significantly outperforms a baseline method in terms of coverage without additional computational cost.

Muitas informações disponíveis na Web estão armazenadas em bancos de dados on-line e são acessíveis somente após um usuário enviar uma consulta por meio de uma interface de busca. Essas informações estão localizadas em uma parte da Web conhecida como Web Oculta ou Web Profunda e, geralmente, são inacessíveis por máquinas de busca tradicionais. Uma vez que a forma de acessar os dados na Web Oculta se dá por intermédio de submissões de consultas, muitos trabalhos têm focado em como preencher automaticamente campos de formulários. Esta tese apresenta uma metodologia para o preenchimento de formulários na Web Oculta. Além disso, descreve uma categorização das técnicas de preenchimento de formulários existentes no estado da arte de coleta na Web Oculta, produzindo uma análise comparativa entre elas. A solução proposta descreve um método automático para seleção de valores para campos de formulários combinando heurísticas e técnicas de aprendizagem de máquina. Experimentos foram realizados em formulários reais da Web, de vários domínios, e os resultados indicam que a abordagem proposta apresenta desempenho comparável aos obtidos pelas técnicas do estado da arte, sendo inclusive significativamente diferente com base em avaliação estatística. / A large portion of the information on the Web is stored inside online databases. Such information is accessible only after the users submit a query through a search interface. TheWeb portion in which that information is located is called HiddenWeb or DeepWeb, and generally this part is inaccessible by traditional search engines crawlers. Since the only way to access the Hidden Web pages is through the query submissions, many works have focused on how to fill in form fields automatically, aiming at enhancing the amount of distinct information hidden behind Web forms. This thesis presents an automatic solution to value selection for fields in Web forms. The solution combines heuristics and machine learning techniques for improving the selection of values. Furthermore, this proposal also describes a categorization of form filling techniques and a comparative analysis between works in the state of the art. Experiments were conducted on real Web sites and the results indicated that our approach significantly outperforms a baseline method in terms of coverage without additional computational cost.

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Web forms development for Web based applications is often expensive, laborious, error-prone, time consuming and requires a lot of effort. Web forms are used by many different people with different backgrounds and a lot of demands. There is a very high cost associated with the need to update the Web application systems to achieve these demands. A wide range of techniques and ideas to automate the generation of Web forms exist. These techniques and ideas however, are not capable of generating the most dynamic behaviour of form elements, and make Insufficient use of database metadata to control Web forms¿ generation and appearance. In this thesis different techniques are proposed that use RuleML and database metadata to build rulebases to improve the automatic and dynamic generation of Web forms. First this thesis proposes the use of a RuleML format rulebase using Reaction RuleML that can be used to support the development of automated Web interfaces. Database metadata can be extracted from system catalogue tables in typical relational database systems, and used in conjunction with the rulebase to produce appropriate Web form elements. Results show that this mechanism successfully insulates application logic from code and suggests that Abstract iii the method can be extended from generic metadata rules to more domain specific rules. Second it proposes the use of common sense rules and domain specific rules rulebases using Reaction RuleML format in conjunction with database metadata rules to extend support for the development of automated Web forms. Third it proposes the use of rules that involve code to implement more semantics for Web forms. Separation between content, logic and presentation of Web applications has become an important issue for faster development and easy maintenance. Just as CSS applied on the client side to control the overall presentation of Web applications, a set of rules can give a similar consistency to the appearance and operation of any set of forms that interact with the same database. We develop rules to order Web form elements and query forms using Reaction RuleML format in conjunction with database metadata rules. The results show the potential of RuleML formats for representing database structural and active semantics. Fourth it proposes the use of a RuleML based approach to provide more support for greater semantics for example advanced domain support even when this is not a DBMS feature. The approach is to specify most of the semantics associated with data stored in RDBMS, to overcome some RDBMSs limitations. RuleML could be used to represent database metadata as an external format.

This study explored the design and development of an electronic performance enhancement tool that can assist a person with limited programming skills to create a variety of simple customized information management websites. In particular, this study was modeled after needs within an Instruction Technology department in which individuals were able to create pre-functional web pages with various elements such as textboxes and dropdown menus but lacked the programming skills necessary to add functionality to these web forms. Skilled programmers could add functionality to these pre-functioning web forms or create customized information management websites from scratch. However, programmers are not always available when needed. At the time of this study, there was no readily available way for persons to create customized information management websites without the services of a programmer or without needing to learn programming skills themselves. This study sought to determine what functionalities, characteristics and capabilities could be included in an electronic performance enhancement tool to assist non-programmers to create simple customized information management websites and how a tool with such functionalities, characteristics and capabilities could be designed and developed. A prototype version of such tool (named the Form And DataBase Interaction Tool or "FADBIT") was designed and developed in this study. This tool asks users who have created simple pre-functional web forms to answer a series of questions related to those webforms. Given the user's responses to these questions, this tool is able to form a metalanguage representation of the user's intentions for the web form and can translate this representation into useful programming code to add the desired functionality. The tool was successfully designed and developed using a generalized modular framework, and a Create-Adapt-Generalize model, with each module addressing one or more patterns common to web programming. The prototype tool successfully allowed non-programmers to create functional information websites for two structured evaluation projects, and achieved some level of success and encountered some difficulties with an unstructured project. Proposed modifications and extensions to the tool to address the difficulties encountered are presented. / Ph. D.