In many of the disputes concerning custody, residence and visitation determined by the court, some form of violence has been performed. The consequence of a child who has witnessed violence in their homes is a problem that is sometimes overlooked. It is not unusual that the violence will continue even after a separation. The law shows that the child´s need of both parents is to be met. This has according to previous studies resulted in the fact that courts do not always see visitation with a violent parent as a risk for the child. This is the reason why we wanted to investigate this further. The aim of our study was to examine and describe how courts argue for decisions regarding a child's contact with a parent who is suspected of having used violence in the family, based on current laws. The method of the study was document analysis and the material consisted of ten Swedish court cases from the years 2010 and 2011. The starting point of the analysis was the sociology of childhood together with the concepts “child’s perspective” and “the perspective of the child”. The court cases were analyzed on basis of the law, our analytical framework and previous research. Our study shows that the court considers it important for the child with a near and well contact with both parents. The results also show that the will of the child not seems as important to take into account as the child’s best interests or the risk that the child gets hurt.

Sweden currently has no legislated regulation of lobbying, but the professional lobbyist can voluntarily subscribe to, among others, the professional code of standars created by the trade association of Public Relations, Precis. There is an ongoing discussion in Sweden to regulate lobbying, both in mass media and in politics. This study examines this debate and focus on which arguments there are for and against lobbying regulation in Sweden. It also attempts to identify the differences, if there are any, between left and rights parties with regards to their views on regulation of lobbying. Tha main method used was document analysis of parliamentary bills which have been raised concerning a lobbying regulation in Sweden. In the theory section, I include four different types of requirements placed on democratic lobbying (se for example Jaatinen 1998, Kitchen 1999, Larsson 2005, Möller 2009 and Naurin 2001). The research showed the need for transparency to be the most prominent, followed by requirement of equal acces to diffrent social groups to lobby. The document analysis focus on the arguments that are given to regulate lobbying in Sweden. The arguments for regulating lobbying presented of the parliamentary bills include measures taken to prevent covert lobbying, to create more equal opportunities to lobby, to that the kind of self-regulation practiced by the proffesional lobbyists by Precis proffesional standars has shortcomings, to that the PR industry will expand and that lobbying is at least commom in Sweden as in other parlaments. Therefore, there is a need to review how other countries have regulated lobbying. The study shows that among the parliamentary bills, The European Parliament regulatory system is the largest role model of other parliaments regulating lobbying. Furtheremore it shows that a registration system is the type of regulation advocated by the most of the politicians behind the researched parliamentary bills. The counter-arguments to a lobbyng regulation in Sweden, identified trough the document analysis and interviews in this study, are that ethics and morality of the individual are more important than rules and laws and a skepticism that a registration system can record people's lifes, which from a democratic point of view is not desirable. Other counter-arguments are that the community allready has so many rules and laws and that a regulatory system can discriminate less economically affluent groups in society. The study has shown that one can devise some differences between left- and right-wing views concerning policies for regulating lobbying in Sweden. This because no parliamentary bills has brought on a lobbying regulation by any of the so- called red parties and the majority of the bills are raised by politicians from the right-wing Moderate Party. One can also see diffrences in the arguments of regulating lobbying by politicians. The bourgeous side seems tho think that the most important requirement of lobbying from a democratic perspective is transparency while the Swedish Green Party is focusing on the lack of equal access between different social groups to lobby.

Unlike single-label document classification, where each document exactly belongs to a single category, when the document is classified into two or more categories, known as multi-label file, how to classify such documents accurately has become a hot research topic in recent years. In this paper, we propose a algorithm named fuzzy similarity measure multi-label K nearest neighbors(FSMLKNN) which combines a fuzzy similarity measure with the multi-label K nearest neighbors(MLKNN) algorithm for multi-label document classification, the algorithm improved fuzzy similarity measure to calculate the similarity between a document and the center of cluster similarity, and proposed algorithm can significantly improve the performance and accuracy for multi-label document classification. In the experiment, we compare FSMLKNN and the existing classification methods, including decision tree C4.5, support vector machine(SVM) and MLKNN algorithm, the experimental results show that, FSMLKNN method is better than others.

Knowledge-based assets play a very important role in the Information Age. How to organize existing knowledge and present to the user properly are important research issue for decision support. Previous literature has indicated that multiple documents can be organized in different ways and different modes of knowledge presentation may result in different learning effects. Typical presentation modes include textual summarization and graphical presentation. The purpose of this thesis is to evaluate whether textual and graphical presentations of a news event may result in different effects for the user. In particular, this study is focused on comparing the textual summary and ontology-base graphical presentation and use the Bloom Theory of Educational Objectives to measure the learning effect of the user An experiment was conducted to assess the knowledge and cognitive process dimension in the Bloom¡¦s theory. We also measured the learning time, system quality, content quality, and overall satisfaction. The result shows that the textual system performed better in learning factual knowledge, and the ontology-base system performed better in learning conceptual and procedural knowledge.

This thesis proposes some novel approaches for feature reduction and multi-label classification for text datasets. In text processing, the bag-of-words model is commonly used, with each document modeled as a vector in a high dimensional space. This model is often called the vector-space model. Usually, the dimensionality of the document vector is huge. Such high-dimensionality can be a severe obstacle for text processing algorithms. To improve the performance of text processing algorithms, we propose a feature clustering approach to reduce the dimensionality of document vectors. We also propose an efficient algorithm for text classification. Feature clustering is a powerful method to reduce the dimensionality of feature vectors for text classification. We propose a fuzzy similarity-based self-constructing algorithm for feature clustering. The words in the feature vector of a document set are grouped into clusters based on similarity test. Words that are similar to each other are grouped into the same cluster. Each cluster is characterized by a membership function with statistical mean and deviation. When all the words have been fed in, a desired number of clusters are formed automatically. We then have one extracted feature for each cluster. The extracted feature corresponding to a cluster is a weighted combination of the words contained in the cluster. By this algorithm, the derived membership functions match closely with and describe properly the real distribution of the training data. Besides, the user need not specify the number of extracted features in advance, and trial-and-error for determining the appropriate number of extracted features can then be avoided. Experimental results show that our method can run faster and obtain better extracted features than other methods. We also propose a fuzzy similarity clustering scheme for multi-label text categorization in which a document can belong to one or more than one category. Firstly, feature transformation is performed. An input document is transformed to a fuzzy-similarity vector. Next, the relevance degrees of the input document to a collection of clusters are calculated, which are then combined to obtain the relevance degree of the input document to each participating category. Finally, the input document is classified to a certain category if the associated relevance degree exceeds a threshold. In text categorization, the number of the involved terms is usually huge. An automatic classification system may suffer from large memory requirements and poor efficiency. Our scheme can do without these difficulties. Besides, we allow the region a category covers to be a combination of several sub-regions that are not necessarily connected. The effectiveness of our proposed scheme is demonstrated by the results of several experiments.

When users are searching for documents, they must sift through a collection of potentially relevant documents assessing, categorizing and prioritizing them based on the current task at hand, a process we refer to as document triage. Since users' time is precious, as much information as possible should be presented to them to aid the process of document triage. This thesis presents a simple visualization and a set of features that can help users in identifying information of interest. As a part of this thesis, the System Layer of the Visual Knowledge Builder (VKB) was developed as a tab strip container. Each of the tabs presents a different type of information about Web Documents. The types of information currently included in VKB are: a summary of the Web Document, keywords based on users' interests provided by the Interest Profile Manager (IPM), popular keywords from a social bookmarking site, metadata about the Web Document, a list of outgoing links of the Web Document, and the history of the Web Document. We performed a heuristic evaluation to assess the usefulness of the new visualization and features. During the evaluation, participants were asked to rate the usefulness of each of the new web document features over a scale of 1 to 7, where a value of 1 indicated strong disagreement, and 7 indicated strong agreement. Our results indicate that the document summary, the keywords from IPM, popular tags, and the history of the Web Document are expected to be most useful during the process of document triage.

Observations of textual document management by individuals and organizations have suggested the popularity of using categories to organize, archive and access documents. The adequacy of an existing category understandably may diminish as it includes influxes of new documents over time or retains only a part of existing documents, bringing about significant changes to its content. Thus, the existing document categories have to be evolved over time as new documents are acquired. Following an evolution-based approach for document-category management, this dissertation extends Category Evolution (CE) technique by addressing its inherent limitations. The proposed technique (namely, CE2) automatically re-organizes document categories while taking into account those previously established. Furthermore, we propose the Ontology-based Category Evolution technique (namely, ONCE) to overcome the problems of word mismatch and ambiguity encountered by the lexicon-based category evolution approach (e.g., CE and CE2). Facilitated by a domain ontology, ONCE can evolve document categories on the conceptual rather the lexical level. Finally, this dissertation further considers the evolution of category hierarchy and proposes Category Hierarchy Evolution technique (CHE) and Ontology-based Category Hierarchy Evolution technique (OCHE) to evolve from an existing category hierarchy. We empirically evaluate the effectiveness of our proposed CE2, ONCE, CHE, and OCHE in different category evolution scenarios, respectively. Our analysis results show CE2 to be more effective than CE and the category discovery approach (specifically, HAC). The ontology-based category evolution approach, ONCE, shows its advantage over CE2 which represents the lexicon-based approach. Finally, the effectiveness attained by CHE and OCHE are satisfactory; and similarly, the ontology-based approach, OCHE, also outperforms the lexicon-based one. This dissertation has contributed to the text mining, document management, and ontology learning research and practice.

Recent advances in information and networking technologies have contributed significantly to global connectivity and greatly facilitated and fostered information creation, distribution, and access. The resultant ever-increasing volume of online textual documents creates an urgent need for new text mining techniques that can intelligently and automatically extract implicit and potentially useful knowledge from these documents for decision support. This research focuses on identifying and discovering event episodes together with their temporal relationships that occur frequently (referred to as evolution patterns in this study) in sequences of documents. The discovery of such evolution patterns can be applied in such domains as knowledge management and used to facilitate existing document management and retrieval techniques (e.g., event tracking). Specifically, we propose and design an evolution pattern (EP) discovery technique for mining evolution patterns from sequences of documents. We experimentally evaluate our proposed EP technique in the context of facilitating event tracking. Measured by miss and false alarm rates, the evolution-pattern supported event-tracking (EPET) technique exhibits better tracking effectiveness than a traditional event-tracking technique. The encouraging performance of the EPET technique demonstrates the potential usefulness of evolution patterns in supporting event tracking and suggests that the proposed EP technique could effectively discover event episodes and evolution patterns in sequences of documents.

With the emergence of the Internet, many innovative and interesting applications from different countries have been stimulated and e-commerce is also getting more and more pervasive. Under this scenario, tremendous amount of information expressed in different languages are exchanged and shared by not only organizations but also individuals in the modern global environment. A large proportion of information is typically formatted and available as textual documents and managed by using categories. Consequently, the development of a practical and effective technique to deal with the problem of cross-lingual category integration (CLCI) becomes a very essential and important issue. Several category integration techniques have been proposed, but all of them deal with category integration involving only monolingual documents. In response, in this study, we combine the existing cross-lingual text categorization techniques with an existing monolingual category integration technique (specifically, Enhanced Naive Bayes) and proposed a CLCI solution to address cross-lingual category integration. Our empirical evaluation results show that our proposed CLCI technique demonstrates its feasibility and superior effectiveness.

Assessment of Civil Servants¡¦ Satisfaction with Electronic Official Document Exchange System: The Case of Kaohsiung City Government Abstract This study aims to understand the assessment from Kaohsiung city government civil servants to the performance of Electronic Official Document Exchange System, probing key factors which affect the executing of electronic official document. It will serves as further validation of the impact from executing of Electronic Official Document Exchange System on Administrative Efficiency. This study used the methods of quantitative for survey, and qualitative research for comprehension. 254 organizations and schools of Kaohsiung City Government were the research targets, namely comparing the variables of E-policy, information system software and hardware and E-efficiency. 254 questionnaires were sent out and all were returned, although 230 questionnaires were valid and 24 were invalid. The response rate was 90.55%. Valid responses were collated and analyzed using statistical evaluating software systems of SPSS and AMOS, testing the relationships between different variables. Several findings can be reported as follows: 1¡BThe results of assessing the key factors, such as E-policy, Information system software and hardware and E-efficiency, which affect the performance of the Electronic Official Document Exchange System, are beyond the medium level. The assessment was conducted by questionnaires completed by Kaohsiung city government civil servants. Kaohsiung city government civil servants are satisfied with the performance of the Electronic Official Document Exchange System. 2¡BThe key factors affecting the executing of electronic official document system are as follows: (1)E-policy aspect There are two factors including decision-makers focusing much attention on and completing work plans. (2)Information system software and hardware aspect There are four factors including the operating stability, accuracy, security and ease of use of information system facilities. (3)E-efficiency aspect Only the Administrative Efficiency aspect. 3¡BThe impact on Administrative Efficiency coming from executing the electronic document system is as follows¡G (1)Due to the different characteristics of organizations and schools of Kaohsiung City Government, it brings about significant discrepancies between variables of E-policy, information software systems and E-efficiency for checking the executing efficiency of pushing forward the executing of electronic official documents. (2)There is positive impact between E-policy and Information system software and hardware. (3)There is positive impact between E-policy and E-efficiency. (4)There is positive impact between Information system software and hardware and E-efficiency. Keywords: Electronic Official Document Exchange System¡BE-policy¡BE-efficiency Information system software and hardware¡BAdministrative Efficiency¡BOrganization Characteristics