Práce se zabývá problematikou měření ukazatelů souvisejících s provozem webových stránek a aplikací a technologickými prostředky k tomu sloužícími ? Web Analytics (WA). Hlavním cílem práce je otestovat a porovnat vybrané zástupce těchto nástrojů a podrobit je srovnání podle objektivních kriterií, dále také kritické zhodnocení možností WA nástrojů obecně. V první části se práce zaměřuje na popis různých způsobů měření provozu na WWW a definuje související metriky. Poskytuje také přehled dostupných WA nástrojů. Následně je vytvořen hodnotící model pro WA nástroje a podle něj je ohodnoceno šest zástupců těchto nástrojů. Hodnocení má podobu uživatelského testování na datech ze dvou reálných webových stránek. Majitelům těchto dvou webových stránek je učiněno doporučení pro volbu vhodného WA nástroje na základě jejich preferencí. Dalším výstupem práce jsou reporty, vygenerované testovanými nástroji, popisující aktivity na zkoumaných webových stránkách.

Segmentace uživatelů vyhledávačů. Charakteristika trhu, základní druhy internetové reklamy, teoretický podklad pro segmentaci trhu, dotazníkové šetření, vymezení segmentů pomocí shlukové analýzy. Popis segmentů a marketingová doporučení.

In all natural languages, ambiguity is a universal phenomenon. When a word has multiple meaning depending on its contexts it is called an ambiguous word. The process of determining the correct meaning of a word (formally named word sense) in a given context is word sense disambiguation(WSD). WSD is one of the most fundamental problems in natural language processing. If properly addressed, it could lead to revolutionary advancement in many other technologies such as text search engine technology, automatic text summarization and classification, automatic lexicon construction, machine translation and automatic learning agent technology. One difficulty that has always confronted WSD researchers is the lack of high quality sense specific information. For example, if the word "power" Immediately preceds the word "plant", it would strongly constrain the meaning of "plant" to be "an industrial facility". If "power" is replaced by the phrase "root of a", then the sense of "plant" is dictated to be "an organism" of the kingdom Planate. It is obvious that manually building a comprehensive sense specific information base for each sense of each word is impractical. Researchers also tried to extract such information from large dictionaries as well as manually sense tagged corpora. Most of the dictionaries used for WSD are not built for this purpose and have a lot of inherited peculiarities. While manual tagging is slow and costly, automatic tagging is not successful in providing a reliable performance. Furthermore, it is often the case that for a randomly chosen word (to be disambiguated), the sense specific context corpora that can be collected from dictionaries are not large enough. Therefore, manually building sense specific information bases or extraction of such information from dictionaries are not effective approaches to obtain sense specific information. A web text, due to its vast quantity and wide diversity, becomes an ideal source for extraction of large quantity of sense specific information. In this thesis, the impacts of Web texts on various aspects of WSD has been investigated. New measures and models are proposed to tame enormous amount of Web texts for the purpose of WSD. They are formally evaluated by experimenting their disambiguation performance on about 70 ambiguous nouns. The results are very encouraging and have helped revealing the great potential of using Web texts for WSD. The results are published in three papers at Australia national and international level (Wang&Hoffmann,2004,2005,2006)[42][43][44].

搜尋引擎已成為大多數人普遍使用的電子服務項目。Google是全球網路搜尋的龍頭，但是Google在中國、南韓和俄羅斯三個國家未竟全功，而分別由百度、Naver和 Yandex三個搜尋引擎獨占鰲頭，有著相同語言和文化知識的本國搜尋引擎，成為當地使用網路者之首選。Yandex是俄羅斯排行第一搜尋引擎，尤其是使用俄文搜尋時；也是俄羅斯最具創新的公司。本研究藉由分析Yandex本身及進一步比較如百度和Naver的本土搜尋引擎，探討Yandex成為俄羅斯網路搜尋龍頭的最主要因素。 百度、Naver和Yandex這三間公司會成為當地最重要的搜尋引擎，其原因最大的共通性是「高度本地化的服務」。相較於Google這類外國公司，更了解當地市場的需求。以Yandex為例，其擁有突破性的技術，專注於搜集且貼近當地需求，充分發揮在地化的服務，進而保持在市場上的領導地位。 Yandex未來發展將專注於擴大搜尋服務到新興市場，精進其於移動應用服務及因應全球趨勢。身為一個在俄羅斯網路搜尋界的領導者，沒有其他競爭者比Yandex更會培訓旗下的企業者，運用機會，成功地吸引到本地網路使用者。 / Search engines have become usual service for the large majority of people. Google is acknowledged leader in global Internet search. There are three countries where Google has failed to dominate the search market. Baidu, Naver and Yandex are clear market leaders in China, South Korea and Russia respectively, where local language and cultural knowledge has made them first choice for many web users in those markets.Yandex is a Russian based search engine focused on search in Russian language and number one innovative company in Russia.Through business analysis of Yandex itself, and other local search engines Baidu and Naver, and their further comparison, this research discusses the main factors that made Yandex a leader in Russian Internet search. Through the case study the author concluded the factors led to dominance on local markets of each search engines discussed have similarity among three companies Yandex, Naver and Baidu. Their highly localized services brought them comparatively stable and long-term market leadership. All of those companies know local markets better than foreign based competitors such as Google. As for Yandex, breakthrough technology, focus on search and better market understanding and localizing all the services played sufficient role in keeping a leadership position on the market. This study suggested Yandex future development should be focused on expanding into new geographical markets in search industry, as well as will be highlighted with expanding its mobile applications service along with global mobilization trend. As a leader in Russian Internet search, there is nobody better placed than Yandex to educate business practitioners in the Internet on how to tap into those opportunities and successfully target the local audience.

<p>Science is changing. Computers, fast communication, and  new technologies have created new ways of conducting research.  For  instance, researchers from different disciplines are processing and  analyzing scientific data that is increasing at an exponential rate.  This kind of research requires that the scientists have access to  tools that can handle huge amounts of data, enable access to vast  computational resources, and support the collaboration of large  teams of scientists. This thesis focuses on tools that help support  scientific collaboration.</p><p>Workflows and provenance are two concepts that have proven useful in  supporting scientific collaboration.  Workflows provide a formal  specification of scientific experiments, and provenance offers a  model for documenting data and process dependencies.  Together, they  enable the creation of tools that can support collaboration through  the whole scientific life-cycle, from specification of experiments  to validation of results.  However, existing models for workflows  and provenance are often specific to particular tasks and tools.  This makes it hard to analyze the history of data that has been  generated over several application areas by different tools.  Moreover, workflow design is a time-consuming process and often  requires extensive knowledge of the tools involved and collaboration  with researchers with different expertise. This thesis addresses  these problems.</p><p>Our first contribution is a study of the differences between two  approaches to interoperability between provenance models: direct  data conversion, and mediation. We perform a case study where we  integrate three different provenance models using the mediation  approach, and show the advantages compared to data conversion.  Our  second contribution serves to support workflow design by allowing  multiple users to concurrently design workflows. Current workflow  tools lack the ability for users to work simultaneously on the same  workflow.  We propose a method that uses the provenance of workflow  evolution to enable real-time collaborative design of workflows.  Our third contribution considers supporting workflow design by  reusing existing workflows. Workflow collections for reuse are  available, but more efficient methods for generating summaries of  search results are still needed. We explore new summarization  strategies that considers the workflow structure.</p><p><img src="data:image/png;base64,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%3D" /></p>

Diese Marktstudie vermittelt einen Überblick über Software, die zur Unterstützung von Wissensmanagement eingesetzt werden kann und berücksichtigt dabei die Spannweite von spezialisierten Suchmaschinen bis zu umfassenden integrierten Wissensmanagementsystemen. Die untersuchte Software bietet sowohl Unterstützung bei Community-orientierten Wissensmanagementansätzen als auch bei Information Retrieval. Die Einsatzmöglichkeiten sind genauso unterschiedlich wie die heterogenen Anforderungen von Unternehmen und Organisationen, die diese an Wissensmanagement stellen. Eine direkte Vergleichbarkeit aller untersuchten Softwareprodukte ist daher nicht sinnvoll. / Applications and systems for knowledge management : a market survey: <br><br> This market survey gives an overview on software for the support of knowledge management. The survey overlooks the span from specialized search engines to integrated knowledge management systems with a broad range of functions. The investigated software supports community-oriented approaches as well as information retrieval. Usage possibilities are as different as the heterogenous requirements of enterprises and organizations for knowledge management. Therefore a direct comparison between the investigated tools is not useful.<br> -----<br> © GITO mbH Berlin

The search for structural fragments (substructures) of compounds is very important in medicinal chemistry, QSAR, spectroscopy, and many other fields. In the last decade, with the development of hardware and evolution of database technologies, more and more chemical compound database applications have been developed along with interfaces of searching for targets based on user input. Due to the algorithmic complexity of structure comparison, essentially a graph isomorphism problem, the current applications mainly work by the approximation of the comparison problem based on certain chemical perceptions and their search interfaces are often e-mail based. The procedure of approximation usually invokes subjective assumption. Therefore, the accuracy of the search is undermined, which may not be acceptable for researchers because in a time-consuming drug design, accuracy is always the first priority. In this dissertation, a design of a search engine for chemical compound database is presented.The design focuses on providing a solution to develop an accurate and fast search engine without sacrificing performance. The solution is comprehensive in a way that a series of related problems were addressed throughout the dissertation with proposed methods. Based on the design, a flexible computing model working for compound search engine can be established and the model can be easily applied to other applications as well. To verify the solution in a practical manner, an implementation based on the presented solution was developed. The implementation clarifies the coupling between theoretic design and technique development. In addition, a workable implementation can be deployed to test the efficiency and effectiveness of the design under variant of experimental data.

With rapid growth of information on the Web, Web search engines have gained great momentum for exploiting valuable Web resources. Although keywords-based Web search engines provide relevant search results in response to users’ queries, future enhancement is still needed. Three important issues include (1) search results can be diverse because ambiguous keywords in queries can be interpreted to different meanings; (2) indentifying keywords in long queries is difficult for search engines; and (3) generating query-specific Web page summaries is desirable for Web search results’ previews. Based on clickthrough data, this thesis proposes a query-concept bipartite graph for representing queries’ relations, and applies the queries’ relations to applications such as (1) personalized query suggestions, (2) long queries Web searches and (3) query-specific Web page summarization. Experimental results show that query-concept bipartite graphs are useful for performance improvement for the three applications.

This essay explores to what extent the Swedish language version of Google Images meets the usability requirements of average everyday users. Previously published studies on user behaviour and users‟ interface and search option preferences define the usability requirements, which are matched against Google Images‟ actual interface and search options. The retrieval method of Google Images is also briefly discussed, and users‟ opinions about Google Images too, as they come across in the previously published user studies. The findings are that Google Images lack some of the things that users ask for, but it still seems to be the most used image search engine among average internet users and more appreciated than other search engines. Since the user studies were conducted, Google Images has changed its interface and added new options in a way that indicates that the developers have read and taken inspiration from the user-oriented image retrieval research, and still do so. This should mean that Google Images is even more user-oriented and therefore appreciated today, and it might improve even more in the near future.

Successful strategy of E-commerce is an important research topic in the passed decades. Understanding the relationship between order of entry and competitive advantage is the main purpose of this research. In this research, it collected a lot of survey reports, press releases, financial information and market research data from well-known online research companies, consultant companies and the Securities and Exchange Commission (SEC). This research focus on three kinds of internet business models such as search engine service, online shop and e-auction. After analyzing the data, the market pioneers have better performance in present than the market followers. It can conclude that there is relative pioneer advantage in the Internet business. However the entry of order has different influence on different business models. For search engine service and e-auction, they have the advantage of taking first. But there is no apparent preponderating first in the on-line shop. The types of online shop and product characteristics also affect the performance under different entry of order. Keywords¡GPioneer Advantage¡Bonline shop¡BSearch engine¡Be-auction¡B E-commerce¡Be-business¡Be-business model