Abstract Knowledge map, like the ¡§Yellow Pages¡¨ of knowledge, indicates where knowledge is and how to get it, but doesn¡¦t contain knowledge. The principal purpose of a knowledge map is to show domain expert when someone need expertise. The principal purpose of a knowledge map is to enhance the efficiency to find the exact expertise someone need. In this digital age, it is a trend for e-learning learners to search knowledge on the Internet. However, when learners try to explore knowledge, they will confront the two important problems:¡ucognitive disorientation¡v and ¡uinformation overloading¡v. This research bases on the function of search engine on the Internet, extract the keywords on the web document, and then analyze the relationship between the keywords appearing on web page. So, we can develop the process of knowledge mapping to construct integrated Knowledge Map (KM). It can reduce the cost and time that is essential for the traditional method. With guidance of the KM, learners can find specific knowledge or discover knowledge relationships more effectively when exploring on the Internet. The contributions of this survey are as followings: Collecting keywords of knowledge automatically, Constructing knowledge relation graph, Constructing knowledge hierarchy graph, and Constructing knowledge time trend graph.

By means of data mining techniques development these days, the knowledge discovered by virtue of data mining has ranging from business application to fraud detection. However, too often, we see only the profit-making justification for investing in data mining while losing sight of the fact that they can help resolve issues of global or national importance. In this research, we propose the architecture for issue oriented information construction and knowledge discovery that related to political or public policy issues. In this architecture, we adopt issue networks as the description model and data mining as the core technique. This study is also performed and verified with prototype system constructing and case data analyzing. There are three main topics in our research. The issue networks information construction starts with text files information retrieving of specified issue from news reports. Keywords retrieved from news reports are converted into structuralized network nodes and presented in the form of issue networks. The second topic is the clustering of network actors. We adopt an issue-association clustering method to provide views of clustering of issue participators based on relations of issues. In third topic, we use specified link analysis method to compute the importance of actors and sub-issues. Our study concludes with performance evaluation via domain experts. We conduct recall, precision evaluation for first topic above and certainty, novelty, utility evaluation for others.

Literature digital libraries are the source of digitalized literature data, from which Researchers can search for articles that meet their personal interest. However, Users often confused by the large number of articles stored in a digital library and a single query will typically yield a large number of articles, among which only a small subset will indeed interest the user. To provide more effective and efficient information search, many systems are equipped with a recommendation subsystem that recommends articles that users might be interested. In this thesis, we aim to research a number of recommendation techniques for making personalized recommendation. In light of the previous work that used collaborative approach for making recommendation for literature digital libraries, in this thesis, we first propose three content-based recommendation approaches, followed by a set of hybrid approaches that combine both content-based and collaborative methods. These alternatives and approaches were evaluated using the web log of an operational electronic thesis system at NSYSU. It has been found the hybrid approaches yields better quality of articles recommendation.

Readers often encounter the need to explore a document only for a specific point of interest. We call the phenomena of approaching a narrative not for its entirety, but for a thread of a particular topic, thematic reading. Present reading tools and information retrieval techniques provide only limited assistance to readers in such a situation. Our research centers on this phenomenon. We conducted investigations on both human behavior and machine automation, with a goal of better meeting the requirements of thematic reading. To observe readers? behavior and understand their expectations, we implemented a reader?s interface with designs targeting the predicted needs of thematic readers. We conducted user studies using both the system and Microsoft Word. We proved that thematic reading is capable of achieving the goal of understanding a specific topic, at least to a degree that succeeds in topic-wise tasks. We also reached guidelines for designing future reading platforms in major aspects such as view, navigation, and contextual awareness. As for machine automation, we investigated the potential to automatically locate thematically relevant excerpts. This investigation was inspired by the editorial compilation of a textbook index. To increase the search performance, we proposed a two-step methodology which first expands the query with expansion and then filters the intermediate results by checking the term-occurrence proximity. For query expansion, we compared the query expansion with WordNet, morphological inflections, and both processes together. Our results show that in the context of our study, WordNet made almost no contribution to the enhancement of recall, while expansion with the inflectional variants turned out to be a successful and essential scheme. For the refinement section, the results show that the proximity check on the alternative phrases formed after inflectional expansion can effectively increase the precision of the previously acquired return results. We further tested a different scheme ? using sliding window ? of defining target and verification units in the methodology. Our findings show that the structural delimitations (sentences and chapters) outperformed sliding windows. The first scheme was able to achieve consistently desirable results, while the results from the second were inconclusive.

Die automatische Klassifikation von Musik in Genres wird seit einigen Jahren systematisch erforscht. In dieser Zeit wurden Genre-Klassifikationssysteme und ihre Komponenten immer weiter verbessert, wofür die verschiedensten Richtungen eingeschlagen wurden. Diese Arbeit gibt deshalb im ersten Teil einen umfassenden Überblick über das Forschungsgebiet der Genre-Klassifikation, von den grundlegenden Techniken bis zum aktuellen Forschungsstand. Im zweiten Teil der Arbeit wird ein neuartiger Ansatz vorgestellt, der das Ziel hat, die Genre-Klassifikation gegen eventuelle Störungen robuster zu machen. Dies soll durch die gezielte Erkennung und Ausfilterung von Bereichen, in denen das Musikstück einer Veränderung seiner Charakteristik unterliegt, realisiert werden. Eine Implementation dieses Ansatzes wird an einer Musikkollektion mit fünf Genres evaluiert und die Ergebnisse werden ausführlich analysiert.

This article describes the Xtrieval framework - a flexible platform for testing and evaluating different aspects of retrieval systems. The background for the design of the framework is to develop an extensible platform for the combination of text and content-based multimedia retrieval. We describe the general composition of the framework and its main functionality. An evaluation of the framework capabilities is given with two exemplary retrieval evaluation tasks.

Project report (M.S.)--San Jose State University, 2000. / Includes abstract. Includes bibliographical references (leaves 37-40).

Thèse doctorat : Informatique : Villeurbanne, INSA : 2008. / Thèse entièrement rédigée en anglais. Résumé étendu en français. Titre provenant de l'écran-titre. Bibliogr. p. 199-210.

Thesis (Ph. D.)--Rutgers University, 2009. / "Graduate Program in Communication, Information and Library Studies." Includes bibliographical references (p. 164-171).

Thesis (Ph. D.)--Rutgers University, 2009. / "Graduate Program in Communication, Information and Library Studies." Includes bibliographical references (p. 115-126).