The Web, containing a large amount of useful information and resources, is expanding rapidly. Collecting domain-specific documents/information from the Web is one of the most important methods to build digital libraries for the scientific community. Focused Crawlers can selectively retrieve Web documents relevant to a specific domain to build collections for domain-specific search engines or digital libraries. Traditional focused crawlers normally adopting the simple Vector Space Model and local Web search algorithms typically only find relevant Web pages with low precision. Recall also often is low, since they explore a limited sub-graph of the Web that surrounds the starting URL set, and will ignore relevant pages outside this sub-graph. In this work, we investigated how to apply an inductive machine learning algorithm and meta-search technique, to the traditional focused crawling process, to overcome the above mentioned problems and to improve performance. We proposed a novel hybrid focused crawling framework based on Genetic Programming (GP) and meta-search. We showed that our novel hybrid framework can be applied to traditional focused crawlers to accurately find more relevant Web documents for the use of digital libraries and domain-specific search engines. The framework is validated through experiments performed on test documents from the Open Directory Project. Our studies have shown that improvement can be achieved relative to the traditional focused crawler if genetic programming and meta-search methods are introduced into the focused crawling process. / Ph. D.

Studies show that software developers spend about 19% of their development time in web surfing. While collecting necessary information using traditional web search, they face several practical challenges. First, it does not consider context (i.e., surroundings, circumstances) of the programming problems during search unless the developers do so in search query formulation, and forces the developers to frequently switch between their working environment (e.g., IDE) and the web browser. Second, technical details (e.g., stack trace) of an encountered exception often contain a lot of information, and they cannot be directly used as a search query given that the traditional search engines do not support long queries. Third, traditional search generally returns hundreds of search results, and the developers need to manually analyze the result pages one by one in order to extract a working solution. Both manual analysis of a page for content relevant to the encountered exception (and its context) and working an appropriate solution out are non-trivial tasks. Traditional code search engines share the same set of limitations of the web search ones, and they also do not help much in collecting the code examples that can be used for handling the encountered exceptions. In this thesis, we present a context-aware and IDE-based approach that helps one overcome those four challenges above. In our first study, we propose and evaluate a context-aware meta search engine for programming errors and exceptions. The meta search collects results for any encountered exception in the IDE from three popular search engines- Google, Bing and Yahoo and one programming Q & A site- StackOverflow, refines and ranks the results against the detailed context of the encountered exception, and then recommends them within the IDE. From this study, we not only explore the potential of the context-aware and meta search based approach but also realize the significance of appropriate search queries in searching for programming solutions. In the second study, we propose and evaluate an automated query recommendation approach that exploits the technical details of an encountered exception, and recommends a ranked list of search queries. We found the recommended queries quite promising and comparable to the queries suggested by experts. We also note that the support for the developers can be further complemented by post-search content analysis. In the third study, we propose and evaluate an IDE-based context-aware content recommendation approach that identifies and recommends sections of a web page that are relevant to the encountered exception in the IDE. The idea is to reduce the cognitive effort of the developers in searching for content of interest (i.e., relevance) in the page, and we found the approach quite effective through extensive experiments and a limited user study. In our fourth study, we propose and evaluate a context-aware code search engine that collects code examples from a number of code repositories of GitHub, and the examples contain high quality handlers for the exception of interest. We validate the performance of each of our proposed approaches against existing relevant literature and also through several mini user studies. Finally, in order to further validate the applicability of our approaches, we integrate them into an Eclipse plug in prototype--ExcClipse. We then conduct a task-oriented user study with six participants, and report the findings which are significantly promising.

We developed a prototype information system with an integrated expert system for headache patients. The FITT (fit between individual, task and technology) framework was used to evaluate the prototype health information system and to determine which deltas to work on in future developments. We positively evaluated the system in all FITT dimensions. The framework provided a proper tool for evaluating the prototype health information system and determining which deltas to work on in future developments.

Eine stetig wachsende Zahl von Nutzern sucht im Internet nach Gesundheitsinformationen. Hierzu steht ihnen eine Vielzahl ganz unterschiedlicher Anbieter zur Verfügung, die bei divergierenden Interessen gesundheitsrelevante Angebote im Internet vorhalten. Abgesehen von der Informationsflut, mit der die Nutzer bei der Suche überhäuft werden, erhalten sie auch falsche, irreführende, veraltete und sogar gesundheitsgefährdende Informationen. In den letzten zehn Jahren haben verschiedene Wissenschaftler die Anforderungen an ein ideales Gesundheitsinformationssystem ermittelt. Im Rahmen des in diesem Beitrag beschriebenen Projekts wurde ein Gesundheitsinformationssystem als Prototyp zur anamnesebezogenen, internetbasierten Patienteninformation entwickelt und anhand einer Studie evaluiert. Dabei wird die Untersuchung auf deutschsprachige Erwachsene mit Kopfschmerzen eingegrenzt. Insgesamt wird die Hypothese überprüft, dass eine angeleitete, anamnesebezogene Internetsuche für den Patienten bessere Ergebnisse liefert, als dies durch die herkömmliche Nutzung von Gesundheitsportalen oder Suchmaschinen erreicht werden kann. Zur Evaluation wurde eine kontrollierte Zweigruppenstudie mit insgesamt 140 Teilnehmern in zwei Studienabschnitten durchgeführt. Dabei wurde im ersten Abschnitt festgestellt, dass bei einfach strukturierten Krankheitsfällen das Informationssystem gleichgute Ergebnisse liefert wie die herkömmliche Suche. Im zweiten Abschnitt konnte allerdings festgestellt werden, dass bei komplexen Kopfschmerzfällen mit Hilfe des Prototyps signifikant (P=0,031) bessere Diagnosen gestellt werden konnten als ohne. Medizinische Expertensysteme in Kombination mit einer Meta-Suche nach maßgeschneiderten qualitätsgesicherten Informationen erweisen sich als probate Möglichkeit, den Ansprüchen an eine geeignete Versorgung mit Gesundheitsinformationen gerecht zu werden. / A steadily increasing number of users search for health information online. Therefore, a multitude of totally different providers with diverging interests offer information. Apart from the information overload the users are flooded with, they may access false, misleading or even life threatening information. In the last 10 years scientists have determined the requirements of an ideal health information system. In the study described in this paper a prototype health information system providing anamnesis related internet-based consumer health information is evaluated. In total, the hypothesis that a computer-aided anamnesis-related internet search provides better results than the use of conventional search engines or health portals is evaluated. For evaluation a randomised controlled study with 140 participants has been conducted in two study sections. In the first section it was found, that for a less complex diagnosis the prototype information system did equally well as the conventional information retrieval. In the second study section it was found, that dealing with complex headache cases participants using the prototype determined significantly better (P=0.031) diagnoses than the control group did without prototype support. It has been shown, that medical expert systems in combination with a meta-search for tailored quality controlled information represents a feasible strategy to provide reliable health information.

We developed a prototype information system with an integrated expert system for headache patients. The FITT (fit between individual, task and technology) framework was used to evaluate the prototype health information system and to determine which deltas to work on in future developments. We positively evaluated the system in all FITT dimensions. The framework provided a proper tool for evaluating the prototype health information system and determining which deltas to work on in future developments.

Eine stetig wachsende Zahl von Nutzern sucht im Internet nach Gesundheitsinformationen. Hierzu steht ihnen eine Vielzahl ganz unterschiedlicher Anbieter zur Verfügung, die bei divergierenden Interessen gesundheitsrelevante Angebote im Internet vorhalten. Abgesehen von der Informationsflut, mit der die Nutzer bei der Suche überhäuft werden, erhalten sie auch falsche, irreführende, veraltete und sogar gesundheitsgefährdende Informationen. In den letzten zehn Jahren haben verschiedene Wissenschaftler die Anforderungen an ein ideales Gesundheitsinformationssystem ermittelt. Im Rahmen des in diesem Beitrag beschriebenen Projekts wurde ein Gesundheitsinformationssystem als Prototyp zur anamnesebezogenen, internetbasierten Patienteninformation entwickelt und anhand einer Studie evaluiert. Dabei wird die Untersuchung auf deutschsprachige Erwachsene mit Kopfschmerzen eingegrenzt. Insgesamt wird die Hypothese überprüft, dass eine angeleitete, anamnesebezogene Internetsuche für den Patienten bessere Ergebnisse liefert, als dies durch die herkömmliche Nutzung von Gesundheitsportalen oder Suchmaschinen erreicht werden kann. Zur Evaluation wurde eine kontrollierte Zweigruppenstudie mit insgesamt 140 Teilnehmern in zwei Studienabschnitten durchgeführt. Dabei wurde im ersten Abschnitt festgestellt, dass bei einfach strukturierten Krankheitsfällen das Informationssystem gleichgute Ergebnisse liefert wie die herkömmliche Suche. Im zweiten Abschnitt konnte allerdings festgestellt werden, dass bei komplexen Kopfschmerzfällen mit Hilfe des Prototyps signifikant (P=0,031) bessere Diagnosen gestellt werden konnten als ohne. Medizinische Expertensysteme in Kombination mit einer Meta-Suche nach maßgeschneiderten qualitätsgesicherten Informationen erweisen sich als probate Möglichkeit, den Ansprüchen an eine geeignete Versorgung mit Gesundheitsinformationen gerecht zu werden. / A steadily increasing number of users search for health information online. Therefore, a multitude of totally different providers with diverging interests offer information. Apart from the information overload the users are flooded with, they may access false, misleading or even life threatening information. In the last 10 years scientists have determined the requirements of an ideal health information system. In the study described in this paper a prototype health information system providing anamnesis related internet-based consumer health information is evaluated. In total, the hypothesis that a computer-aided anamnesis-related internet search provides better results than the use of conventional search engines or health portals is evaluated. For evaluation a randomised controlled study with 140 participants has been conducted in two study sections. In the first section it was found, that for a less complex diagnosis the prototype information system did equally well as the conventional information retrieval. In the second study section it was found, that dealing with complex headache cases participants using the prototype determined significantly better (P=0.031) diagnoses than the control group did without prototype support. It has been shown, that medical expert systems in combination with a meta-search for tailored quality controlled information represents a feasible strategy to provide reliable health information.

This bachelor thesis in applied mathematics and industrial engineering and management aimed to identify relationships between search parameters in flight comparison search engines and the exit conversion rate, while also investigating how the emergence of such comparison search engines has impacted the airline industry. To identify such relationships, several classification models were employed in conjunction with several sampling methods to produce a predictive model using the program R. To investigate the impact of the emergence of comparison websites, Porter's 5 forces and a SWOT - analysis were employed to analyze findings of a literature study and a qualitative interview. The classification models developed performed poorly with regards to several assessments metrics which suggested that there were little to no significance in the relationship between the search parameters investigated and exit conversion rate. Porter's 5 forces and the SWOT-analysis suggested that the competitive landscape of the airline industry has become more competitive and that airlines which do not manage to adapt to this changing market environment will experience decreasing profitability. / Detta kandidatexamensarbete inriktat på tillämpad matematik och industriell ekonomi syftade till att identifiera samband mellan sökparametrar från flygsökmotorer och konverteringsgraden för utträde till ett flygbolags hemsida, och samtidigt undersöka hur uppkomsten av flygsökmotorer har påverkat flygindustrin för flygbolag. För att identifiera sådana samband, tillämpades flera klassificeringsmodeller tillsammans med stickprovsmetoder för att bygga en predikativ modell i programmet R. För att undersöka påverkan av flygsökmotorer tillämpades Porters 5 krafter och SWOT-analys som teoretiska ramverk för att analysera information uppsamlad genom en litteraturstudie och en intervju. Klassificeringsmodellerna som byggdes presterade undermåligt med avseende på flera utvärderingsmått, vilket antydde att det fanns lite eller inget samband mellan de undersökta sökparametrarna och konverteringsgraden för utträde. Porters 5 krafter och SWOT-analysen visade att flygindustrin hade blivit mer konkurrensutsatt och att flygbolag som inte lyckas anpassa sig efter en omgivning i ändring kommer att uppleva minskande lönsamhet.