@unpublished{Nassourou2011, author = {Nassourou, Mohamadou}, title = {A Knowledge-based Hybrid Statistical Classifier for Reconstructing the Chronology of the Quran}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-54712}, year = {2011}, abstract = {Computationally categorizing Quran's chapters has been mainly confined to the determination of chapters' revelation places. However this broad classification is not sufficient to effectively and thoroughly understand and interpret the Quran. The chronology of revelation would not only improve comprehending the philosophy of Islam, but also the easiness of implementing and memorizing its laws and recommendations. This paper attempts estimating possible chapters' dates of revelation through their lexical frequency profiles. A hybrid statistical classifier consisting of stemming and clustering algorithms for comparing lexical frequency profiles of chapters, and deriving dates of revelation has been developed. The classifier is trained using some chapters with known dates of revelation. Then it classifies chapters with uncertain dates of revelation by computing their proximity to the training ones. The results reported here indicate that the proposed methodology yields usable results in estimating dates of revelation of the Quran's chapters based on their lexical contents.}, subject = {Text Mining}, language = {en} } @unpublished{Nassourou2011, author = {Nassourou, Mohamadou}, title = {A Rule-based Statistical Classifier for Determining a Base Text and Ranking Witnesses In Textual Documents Collation Process}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-57465}, year = {2011}, abstract = {Given a collection of diverging documents about some lost original text, any person interested in the text would try reconstructing it from the diverging documents. Whether it is eclecticism, stemmatics, or copy-text, one is expected to explicitly or indirectly select one of the documents as a starting point or as a base text, which could be emended through comparison with remaining documents, so that a text that could be designated as the original document is generated. Unfortunately the process of giving priority to one of the documents also known as witnesses is a subjective approach. In fact even Cladistics, which could be considered as a computer-based approach of implementing stemmatics, does not present or recommend users to select a certain witness as a starting point for the process of reconstructing the original document. In this study, a computational method using a rule-based Bayesian classifier is used, to assist text scholars in their attempts of reconstructing a non-existing document from some available witnesses. The method developed in this study consists of selecting a base text successively and collating it with remaining documents. Each completed collation cycle stores the selected base text and its closest witness, along with a weighted score of their similarities and differences. At the end of the collation process, a witness selected more often by majority of base texts is considered as the probable base text of the collection. Witnesses' scores are weighted using a weighting system, based on effects of types of textual modifications on the process of reconstructing original documents. Users have the possibility to select between baseless and base text collation. If a base text is selected, the task is reduced to ranking the witnesses with respect to the base text, otherwise a base text as well as ranking of the witnesses with respect to the base text are computed and displayed on a histogram.}, subject = {Textvergleich}, language = {en} } @unpublished{Nassourou2011, author = {Nassourou, Mohamadou}, title = {Assisting Analysis and Understanding of Quran Search Results with Interactive Scatter Plots and Tables}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-55840}, year = {2011}, abstract = {The Quran is the holy book of Islam consisting of 6236 verses divided into 114 chapters called suras. Many verses are similar and even identical. Searching for similar texts (e.g verses) could return thousands of verses, that when displayed completely or partly as textual list would make analysis and understanding difficult and confusing. Moreover it would be visually impossible to instantly figure out the overall distribution of the retrieved verses in the Quran. As consequence reading and analyzing the verses would be tedious and unintuitive. In this study a combination of interactive scatter plots and tables has been developed to assist analysis and understanding of the search result. Retrieved verses are clustered by chapters, and a weight is assigned to each cluster according to number of verses it contains, so that users could visually identify most relevant areas, and figure out the places of revelation of the verses. Users visualize the complete result and can select a region of the plot to zoom in, click on a marker to display a table containing verses with English translation side by side.}, subject = {Text Mining}, language = {en} } @unpublished{Nassourou2011, author = {Nassourou, Mohamadou}, title = {Assisting Understanding, Retention, and Dissemination of Religious Texts Knowledge with Modeling, and Visualization Techniques: The Case of The Quran}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-55927}, year = {2011}, abstract = {Learning a book in general involves reading it, underlining important words, adding comments, summarizing some passages, and marking up some text or concepts. Once deeper understanding is achieved, one would like to organize and manage her/his knowledge in such a way that, it could be easily remembered and efficiently transmitted to others. In this paper, books organized in terms of chapters consisting of verses, are considered as the source of knowledge to be modeled. The knowledge model consists of verses with their metadata and semantic annotations. The metadata represent the multiple perspectives of knowledge modeling. Verses with their metadata and annotations form a meta-model, which will be published on a web Mashup. The meta-model with linking between its elements constitute a knowledge base. An XML-based annotation system breaking down the learning process into specific tasks, helps constructing the desired meta-model. The system is made up of user interfaces for creating metadata, annotating chapters' contents according to user selected semantics, and templates for publishing the generated knowledge on the Internet. The proposed software system improves comprehension and retention of knowledge contained in religious texts through modeling and visualization. The system has been applied to the Quran, and the result obtained shows that multiple perspectives of information modeling can be successfully applied to religious texts. It is expected that this short ongoing study would motivate others to engage in devising and offering software systems for cross-religions learning.}, subject = {Wissensmanagement}, language = {en} } @misc{Schmidt2011, type = {Master Thesis}, author = {Schmidt, Nils}, title = {Chatakronyme in der deutschen Gegenwartssprache. Untersuchungen zur m{\"u}ndlichen Verwendung und Lexikalisierung}, isbn = {978-3-923959-83-9}, doi = {10.25972/OPUS-5448}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-67156}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2011}, abstract = {Hauptgegenstand dieser Arbeit ist die Untersuchung des Ph{\"a}nomens der m{\"u}ndlichen Ver-wendung von im Chat gebr{\"a}uchlichen akronymischen Kurzformen wie lol und omg im Deut-schen. Da die Chatkommunikation trotz ihrer schriftlichen Realisierung einige Merkmale m{\"u}ndlicher Kommunikation aufweist, scheint eine Integration der zun{\"a}chst rein graphischen K{\"u}rzungen in die gesprochene Sprache außerhalb des Chats nicht abwegig. Dar{\"u}ber hinaus lassen sich in j{\"u}ngster Zeit sowohl eine Flexibilisierung der Verwendungsweise der K{\"u}rzel als auch Wortbildungsprozesse mithilfe der entsprechenden Formen konstatieren. Es handelt sich dabei um ein jugendsprachliches Ph{\"a}nomen; dies gilt vor allem f{\"u}r den Bereich der Wortbildung. In dieser Arbeit werden die Ergebnisse einer empirischen Erhebung der Relevanz sechs g{\"a}ngiger K{\"u}rzel und abgeleiteter Formen vorgestellt und interpretiert. Dar{\"u}ber hinaus erfolgt eine Bestandsaufnahme aller analysierten Formen in Standardnachschlagewerken und diversen W{\"o}rterb{\"u}chern zu den Soziolekten der Jugend- und Internetsprache.}, subject = {Akronym}, language = {de} } @unpublished{Nassourou2011, author = {Nassourou, Mohamadou}, title = {Computer-based Textual Documents Collation System for Reconstructing the Original Text from Automatically Identified Base Text and Ranked Witnesses}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-65749}, year = {2011}, abstract = {Given a collection of diverging documents about some lost original text, any person interested in the text would try reconstructing it from the diverging documents. Whether it is eclecticism, stemmatics, or copy-text, one is expected to explicitly or indirectly select one of the documents as a starting point or as a base text, which could be emended through comparison with remaining documents, so that a text that could be designated as the original document is generated. Unfortunately the process of giving priority to one of the documents also known as witnesses is a subjective approach. In fact even Cladistics, which could be considered as a computer-based approach of implementing stemmatics, does not present or recommend users to select a certain witness as a starting point for the process of reconstructing the original document. In this study, a computational method using a rule-based Bayesian classifier is used, to assist text scholars in their attempts of reconstructing a non-existing document from some available witnesses. The method developed in this study consists of selecting a base text successively and collating it with remaining documents. Each completed collation cycle stores the selected base text and its closest witness, along with a weighted score of their similarities and differences. At the end of the collation process, a witness selected more often by majority of base texts is considered as the probable base text of the collection. Witnesses' scores are weighted using a weighting system, based on effects of types of textual modifications on the process of reconstructing original documents. Users have the possibility to select between baseless and base text collation. If a base text is selected, the task is reduced to ranking the witnesses with respect to the base text, otherwise a base text as well as ranking of the witnesses with respect to the base text are computed and displayed on a bar diagram. Additionally this study includes a recursive algorithm for automatically reconstructing the original text from the identified base text and ranked witnesses.}, subject = {Textvergleich}, language = {en} } @unpublished{Nassourou2011, author = {Nassourou, Mohamadou}, title = {Computing Generic Causes of Revelation of the Quranic Verses Using Machine Learning Techniques}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-66083}, year = {2011}, abstract = {Because many verses of the holy Quran are similar, there is high probability that, similar verses addressing same issues share same generic causes of revelation. In this study, machine learning techniques have been employed in order to automatically derive causes of revelation of Quranic verses. The derivation of the causes of revelation is viewed as a classification problem. Initially the categories are based on the verses with known causes of revelation, and the testing set consists of the remaining verses. Based on a computed threshold value, a na{\"i}ve Bayesian classifier is used to categorize some verses. After that, using a decision tree classifier the remaining uncategorized verses are separated into verses that contain indicators (resultative connectors, causative expressions…), and those that do not. As for those verses having indicators, each one is segmented into its constituent clauses by identification of the linking indicators. Then a dominant clause is extracted and considered either as the cause of revelation, or post-processed by adding or subtracting some terms to form a causal clause that constitutes the cause of revelation. Concerning remaining unclassified verses without indicators, a naive Bayesian classifier is again used to assign each one of them to one of the existing classes based on features and topics similarity. As for verses that could not be classified so far, manual classification was made by considering each verse as a category on its own. The result obtained in this study is encouraging, and shows that automatic derivation of Quranic verses' generic causes of revelation is achievable, and reasonably reliable for understanding and implementing the teachings of the Quran.}, subject = {Text Mining}, language = {en} } @incollection{Kraft2011, author = {Kraft, Stephan}, title = {Das Epigramm. Ein Lustspiel in vier Akten. Leipzig: Paul Gotthelf Kummer 1801. (238 S.)}, series = {Kotzebues Dramen. Ein Lexikon}, booktitle = {Kotzebues Dramen. Ein Lexikon}, publisher = {Wehrhahn}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-257841}, publisher = {Universit{\"a}t W{\"u}rzburg}, pages = {59-60}, year = {2011}, abstract = {Kein Abstract verf{\"u}gbar.}, language = {de} } @incollection{Toepfer2011, author = {Toepfer, Regina}, title = {Das Leiden Christi in Farbe: Zur Funktion der B{\"u}hnenanweisungen im ‚Donaueschinger Passionsspiel'.}, series = {Farbe im Mittelalter: Materialit{\"a}t - Medialit{\"a}t - Semantik / Bd. 2.}, booktitle = {Farbe im Mittelalter: Materialit{\"a}t - Medialit{\"a}t - Semantik / Bd. 2.}, publisher = {Akademie Verlag}, isbn = {978-3-05-004640-2}, doi = {10.1524/9783050056494-051}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-287091}, publisher = {Universit{\"a}t W{\"u}rzburg}, pages = {767-780}, year = {2011}, abstract = {Unter den geistlichen Spielen des sp{\"a}ten Mittelalters zeichnet sich das ‚Donaueschinger Passionsspiel' durch den Umfang und die Detailliertheit seiner Regieanweisungen aus. Sie erg{\"a}nzen den im Dialog abgefassten Haupttext um epische Partien, die bei der Lekt{\"u}re das imagin{\"a}re B{\"u}hnengeschehen illustrieren und bei einer Inszenierung in Bewegung umgesetzt werden. Geb{\"a}rden und K{\"o}rperhaltungen der Darsteller werden ebenso beschrieben wie ihre Ausstattung, Kost{\"u}me und Requisiten, bis hin zu farblichen Einzelheiten. Ankn{\"u}pfend an die neuere Forschungsdiskussion {\"u}ber die Medialit{\"a}t geistlicher Spiele fragt die Autorin nach der spezifischen Funktion farblicher Regieanweisungen. Wie die Gattung des Spiels zwischen Textualit{\"a}t und Performativit{\"a}t, Theatralit{\"a}t und Ritualit{\"a}t changiert, kommt auch der Farbe ein eigener medialer Status zu, so die These. Die farblichen Regieanweisungen sollen Leser dazu anregen, zun{\"a}chst einzelne Details, dann konkrete Bilder und schließlich das gesamte Passionsspiel zu imaginieren.}, subject = {Passionsspiel}, language = {de} } @incollection{Kraft2011, author = {Kraft, Stephan}, title = {Der verbannte Amor, oder: die argw{\"o}hnischen Eheleute. Lustspiel in vier Akten. Leipzig: Paul Gotthelf Kummer 1810. (224 S.)}, series = {Kotzebues Dramen. Ein Lexikon}, booktitle = {Kotzebues Dramen. Ein Lexikon}, publisher = {Wehrhahn}, address = {Hannover}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-257870}, publisher = {Universit{\"a}t W{\"u}rzburg}, pages = {231-232}, year = {2011}, abstract = {Kein Abstract verf{\"u}gbar.}, language = {de} }