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  1. Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011) 0.25 
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    Content
    Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
  2. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.22 
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    Abstract
    In this thesis we propose three new word association measures for multi-word term extraction. We combine these association measures with LocalMaxs algorithm in our extraction model and compare the results of different multi-word term extraction methods. Our approach is language and domain independent and requires no training data. It can be applied to such tasks as text summarization, information retrieval, and document classification. We further explore the potential of using multi-word terms as an effective representation for general web-page summarization. We extract multi-word terms from human written summaries in a large collection of web-pages, and generate the summaries by aligning document words with these multi-word terms. Our system applies machine translation technology to learn the aligning process from a training set and focuses on selecting high quality multi-word terms from human written summaries to generate suitable results for web-page summarization.
    Content
    A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
    Date
    10. 1.2013 19:22:47
  3. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.21 
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    Abstract
    While classifications are heavily used to categorize web content, the evolution of the web foresees a more formal structure - ontology - which can serve this purpose. Ontologies are core artifacts of the Semantic Web which enable machines to use inference rules to conduct automated reasoning on data. Lightweight ontologies bridge the gap between classifications and ontologies. A lightweight ontology (LO) is an ontology representing a backbone taxonomy where the concept of the child node is more specific than the concept of the parent node. Formal lightweight ontologies can be generated from their informal ones. The key applications of formal lightweight ontologies are document classification, semantic search, and data integration. However, these applications suffer from the following problems: the disambiguation accuracy of the state of the art NLP tools used in generating formal lightweight ontologies from their informal ones; the lack of background knowledge needed for the formal lightweight ontologies; and the limitation of ontology reuse. In this dissertation, we propose a novel solution to these problems in formal lightweight ontologies; namely, faceted lightweight ontology (FLO). FLO is a lightweight ontology in which terms, present in each node label, and their concepts, are available in the background knowledge (BK), which is organized as a set of facets. A facet can be defined as a distinctive property of the groups of concepts that can help in differentiating one group from another. Background knowledge can be defined as a subset of a knowledge base, such as WordNet, and often represents a specific domain.
    Content
    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
  4. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.19 
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    Abstract
    Vorgestellt wird die Konstruktion eines thematisch geordneten Thesaurus auf Basis der Sachschlagwörter der Gemeinsamen Normdatei (GND) unter Nutzung der darin enthaltenen DDC-Notationen. Oberste Ordnungsebene dieses Thesaurus werden die DDC-Sachgruppen der Deutschen Nationalbibliothek. Die Konstruktion des Thesaurus erfolgt regelbasiert unter der Nutzung von Linked Data Prinzipien in einem SPARQL Prozessor. Der Thesaurus dient der automatisierten Gewinnung von Metadaten aus wissenschaftlichen Publikationen mittels eines computerlinguistischen Extraktors. Hierzu werden digitale Volltexte verarbeitet. Dieser ermittelt die gefundenen Schlagwörter über Vergleich der Zeichenfolgen Benennungen im Thesaurus, ordnet die Treffer nach Relevanz im Text und gibt die zugeordne-ten Sachgruppen rangordnend zurück. Die grundlegende Annahme dabei ist, dass die gesuchte Sachgruppe unter den oberen Rängen zurückgegeben wird. In einem dreistufigen Verfahren wird die Leistungsfähigkeit des Verfahrens validiert. Hierzu wird zunächst anhand von Metadaten und Erkenntnissen einer Kurzautopsie ein Goldstandard aus Dokumenten erstellt, die im Online-Katalog der DNB abrufbar sind. Die Dokumente vertei-len sich über 14 der Sachgruppen mit einer Losgröße von jeweils 50 Dokumenten. Sämtliche Dokumente werden mit dem Extraktor erschlossen und die Ergebnisse der Kategorisierung do-kumentiert. Schließlich wird die sich daraus ergebende Retrievalleistung sowohl für eine harte (binäre) Kategorisierung als auch eine rangordnende Rückgabe der Sachgruppen beurteilt.
    Content
    Master thesis Master of Science (Library and Information Studies) (MSc), Universität Wien. Advisor: Christoph Steiner. Vgl.: https://www.researchgate.net/publication/371680244_Vergabe_von_DDC-Sachgruppen_mittels_eines_Schlagwort-Thesaurus. DOI: 10.25365/thesis.70030. Vgl. dazu die Präsentation unter: https://www.google.com/url?sa=i&rct=j&q=&esrc=s&source=web&cd=&ved=0CAIQw7AJahcKEwjwoZzzytz_AhUAAAAAHQAAAAAQAg&url=https%3A%2F%2Fwiki.dnb.de%2Fdownload%2Fattachments%2F252121510%2FDA3%2520Workshop-Gabler.pdf%3Fversion%3D1%26modificationDate%3D1671093170000%26api%3Dv2&psig=AOvVaw0szwENK1or3HevgvIDOfjx&ust=1687719410889597&opi=89978449.
  5. Shala, E.: ¬Die Autonomie des Menschen und der Maschine : gegenwärtige Definitionen von Autonomie zwischen philosophischem Hintergrund und technologischer Umsetzbarkeit (2014) 0.15 
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    Footnote
    Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.
  6. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.12 
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    Abstract
    By the explosion of possibilities for a ubiquitous content production, the information overload problem reaches the level of complexity which cannot be managed by traditional modelling approaches anymore. Due to their pure syntactical nature traditional information retrieval approaches did not succeed in treating content itself (i.e. its meaning, and not its representation). This leads to a very low usefulness of the results of a retrieval process for a user's task at hand. In the last ten years ontologies have been emerged from an interesting conceptualisation paradigm to a very promising (semantic) modelling technology, especially in the context of the Semantic Web. From the information retrieval point of view, ontologies enable a machine-understandable form of content description, such that the retrieval process can be driven by the meaning of the content. However, the very ambiguous nature of the retrieval process in which a user, due to the unfamiliarity with the underlying repository and/or query syntax, just approximates his information need in a query, implies a necessity to include the user in the retrieval process more actively in order to close the gap between the meaning of the content and the meaning of a user's query (i.e. his information need). This thesis lays foundation for such an ontology-based interactive retrieval process, in which the retrieval system interacts with a user in order to conceptually interpret the meaning of his query, whereas the underlying domain ontology drives the conceptualisation process. In that way the retrieval process evolves from a query evaluation process into a highly interactive cooperation between a user and the retrieval system, in which the system tries to anticipate the user's information need and to deliver the relevant content proactively. Moreover, the notion of content relevance for a user's query evolves from a content dependent artefact to the multidimensional context-dependent structure, strongly influenced by the user's preferences. This cooperation process is realized as the so-called Librarian Agent Query Refinement Process. In order to clarify the impact of an ontology on the retrieval process (regarding its complexity and quality), a set of methods and tools for different levels of content and query formalisation is developed, ranging from pure ontology-based inferencing to keyword-based querying in which semantics automatically emerges from the results. Our evaluation studies have shown that the possibilities to conceptualize a user's information need in the right manner and to interpret the retrieval results accordingly are key issues for realizing much more meaningful information retrieval systems.
    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
    Theme
    Semantic Web
  7. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.11 
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    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
  8. Piros, A.: Az ETO-jelzetek automatikus interpretálásának és elemzésének kérdései (2018) 0.10 
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    Content
    Vgl. auch: New automatic interpreter for complex UDC numbers. Unter: <https%3A%2F%2Fudcc.org%2Ffiles%2FAttilaPiros_EC_36-37_2014-2015.pdf&usg=AOvVaw3kc9CwDDCWP7aArpfjrs5b>
  9. Toussi, M.: Information Retrieval am Beispiel der Wide Area Information Server (WAIS) und dem World Wide Web (WWW) (1996) 0.04 
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  10. Li, Z.: ¬A domain specific search engine with explicit document relations (2013) 0.04 
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    Abstract
    The current web consists of documents that are highly heterogeneous and hard for machines to understand. The Semantic Web is a progressive movement of the Word Wide Web, aiming at converting the current web of unstructured documents to the web of data. In the Semantic Web, web documents are annotated with metadata using standardized ontology language. These annotated documents are directly processable by machines and it highly improves their usability and usefulness. In Ericsson, similar problems occur. There are massive documents being created with well-defined structures. Though these documents are about domain specific knowledge and can have rich relations, they are currently managed by a traditional search engine, which ignores the rich domain specific information and presents few data to users. Motivated by the Semantic Web, we aim to find standard ways to process these documents, extract rich domain specific information and annotate these data to documents with formal markup languages. We propose this project to develop a domain specific search engine for processing different documents and building explicit relations for them. This research project consists of the three main focuses: examining different domain specific documents and finding ways to extract their metadata; integrating a text search engine with an ontology server; exploring novel ways to build relations for documents. We implement this system and demonstrate its functions. As a prototype, the system provides required features and will be extended in the future.
    Theme
    Semantic Web
  11. Decker, B.: Data Mining in Öffentlichen Bibliotheken (2000) 0.04 
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    Theme
    Data Mining
  12. Glockner, M.: Semantik Web : Die nächste Generation des World Wide Web (2004) 0.04 
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  13. Schiefer, J.: Aufbau eines internationalen CDS/ISIS Nutzerforums im World Wide Web (1996) 0.04 
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  14. Fischer, M.: Sacherschliessung - quo vadis? : Die Neuausrichtung der Sacherschliessung im deutschsprachigen Raum (2015) 0.03 
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    Abstract
    Informationen werden heute von den meisten Menschen vor allem im World Wide Web gesucht. Bibliothekskataloge und damit die in den wissenschaftlichen Bibliotheken gepflegte intellektuelle Sacherschliessung konkurrieren dabei mit einfach und intuitiv zu benutzenden Suchmaschinen. Die Anforderungen an die thematische Recherche hat sich in den letzten Jahren durch die rasante Entwicklung der Informationstechnologie grundlegend verändert. Darüber hinaus sehen sich die Bibliotheken heute mit dem Problem konfrontiert, dass die zunehmende Flut an elektronischen Publikationen bei gleichzeitig abnehmenden Ressourcen intellektuell nicht mehr bewältigt werden kann. Vor diesem Hintergrund hat die Expertengruppe Sacherschliessung - eine Arbeitsgruppe innerhalb der Arbeitsstelle für Standardisierung der Deutschen Nationalbibliothek (DNB), in welcher Vertreterinnen und Vertreter der deutschsprachigen Bibliotheksverbünde repräsentiert sind - 2013 damit begonnen, sich mit der Neuausrichtung der verbalen Sacherschliessung zu befassen. Bei der aktuellen Überarbeitung der Regeln für den Schlagwortkatalog (RSWK) sollen die verbale und klassifikatorische Sacherschliessung, ebenso wie die intellektuelle und automatische Indexierung in einem Zusammenhang betrachtet werden. Neben der neuen Suchmaschinentechnologie und den automatischen Indexierungsmethoden gewinnt dabei vor allem die Vernetzung der Bibliothekskataloge mit anderen Ressourcen im World Wide Web immer mehr an Bedeutung. Ausgehend von einer Analyse der grundlegenden Prinzipien der international verbreiteten Normen und Standards (FRBR, FRSAD und RDA) beschäftige ich mich in meiner Masterarbeit mit der in der Expertengruppe Sacherschliessung geführten Debatte über die aktuelle Überarbeitung der RSWK. Dabei stellt sich insbesondere die Frage, welche Auswirkungen die rasante Entwicklung der Informationstechnologie auf die zukünftige Neuausrichtung der intellektuellen Sacherschliessung haben wird? Welche Rolle spielen in Zukunft die Suchmaschinen und Discovery Systeme, die automatischen Indexierungsverfahren und das Semantic Web bzw. Linked Open Data bei der inhaltlichen Erschliessung von bibliografischen Ressourcen?
  15. Knitel, M.: ¬The application of linked data principles to library data : opportunities and challenges (2012) 0.03 
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    Abstract
    Linked Data hat sich im Laufe der letzten Jahre zu einem vorherrschenden Thema der Bibliothekswissenschaft entwickelt. Als ein Standard für Erfassung und Austausch von Daten, bestehen zahlreiche Berührungspunkte mit traditionellen bibliothekarischen Techniken. Diese Arbeit stellt in einem ersten Teil die grundlegenden Technologien dieses neuen Paradigmas vor, um sodann deren Anwendung auf bibliothekarische Daten zu untersuchen. Den zentralen Prinzipien der Linked Data Initiative folgend, werden dabei die Adressierung von Entitäten durch URIs, die Anwendung des RDF Datenmodells und die Verknüpfung von heterogenen Datenbeständen näher beleuchtet. Den dabei zu Tage tretenden Herausforderungen der Sicherstellung von qualitativ hochwertiger Information, der permanenten Adressierung von Inhalten im World Wide Web sowie Problemen der Interoperabilität von Metadatenstandards wird dabei besondere Aufmerksamkeit geschenkt. Der letzte Teil der Arbeit skizziert ein Programm, welches eine mögliche Erweiterung der Suchmaschine des österreichischen Bibliothekenverbundes darstellt. Dessen prototypische Umsetzung erlaubt eine realistische Einschätzung der derzeitigen Möglichkeiten von Linked Data und unterstreicht viele der vorher theoretisch erarbeiteten Themengebiete. Es zeigt sich, dass für den voll produktiven Einsatz von Linked Data noch viele Hürden zu überwinden sind. Insbesondere befinden sich viele Projekte derzeit noch in einem frühen Reifegrad. Andererseits sind die Möglichkeiten, die aus einem konsequenten Einsatz von RDF resultieren würden, vielversprechend. RDF qualifiziert sich somit als Kandidat für den Ersatz von auslaufenden bibliographischen Datenformaten wie MAB oder MARC.
  16. Vocht, L. De: Exploring semantic relationships in the Web of Data : Semantische relaties verkennen in data op het web (2017) 0.03 
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    Abstract
    After the launch of the World Wide Web, it became clear that searching documentson the Web would not be trivial. Well-known engines to search the web, like Google, focus on search in web documents using keywords. The documents are structured and indexed to ensure keywords match documents as accurately as possible. However, searching by keywords does not always suice. It is oen the case that users do not know exactly how to formulate the search query or which keywords guarantee retrieving the most relevant documents. Besides that, it occurs that users rather want to browse information than looking up something specific. It turned out that there is need for systems that enable more interactivity and facilitate the gradual refinement of search queries to explore the Web. Users expect more from the Web because the short keyword-based queries they pose during search, do not suffice for all cases. On top of that, the Web is changing structurally. The Web comprises, apart from a collection of documents, more and more linked data, pieces of information structured so they can be processed by machines. The consequently applied semantics allow users to exactly indicate machines their search intentions. This is made possible by describing data following controlled vocabularies, concept lists composed by experts, published uniquely identifiable on the Web. Even so, it is still not trivial to explore data on the Web. There is a large variety of vocabularies and various data sources use different terms to identify the same concepts.
    This PhD-thesis describes how to effectively explore linked data on the Web. The main focus is on scenarios where users want to discover relationships between resources rather than finding out more about something specific. Searching for a specific document or piece of information fits in the theoretical framework of information retrieval and is associated with exploratory search. Exploratory search goes beyond 'looking up something' when users are seeking more detailed understanding, further investigation or navigation of the initial search results. The ideas behind exploratory search and querying linked data merge when it comes to the way knowledge is represented and indexed by machines - how data is structured and stored for optimal searchability. Queries and information should be aligned to facilitate that searches also reveal connections between results. This implies that they take into account the same semantic entities, relevant at that moment. To realize this, we research three techniques that are evaluated one by one in an experimental set-up to assess how well they succeed in their goals. In the end, the techniques are applied to a practical use case that focuses on forming a bridge between the Web and the use of digital libraries in scientific research. Our first technique focuses on the interactive visualization of search results. Linked data resources can be brought in relation with each other at will. This leads to complex and diverse graphs structures. Our technique facilitates navigation and supports a workflow starting from a broad overview on the data and allows narrowing down until the desired level of detail to then broaden again. To validate the flow, two visualizations where implemented and presented to test-users. The users judged the usability of the visualizations, how the visualizations fit in the workflow and to which degree their features seemed useful for the exploration of linked data.
    The ideas behind exploratory search and querying linked data merge when it comes to the way knowledge is represented and indexed by machines - how data is structured and stored for optimal searchability. eries and information should be aligned to facilitate that searches also reveal connections between results. This implies that they take into account the same semantic entities, relevant at that moment. To realize this, we research three techniques that are evaluated one by one in an experimental set-up to assess how well they succeed in their goals. In the end, the techniques are applied to a practical use case that focuses on forming a bridge between the Web and the use of digital libraries in scientific research.
    Our first technique focuses on the interactive visualization of search results. Linked data resources can be brought in relation with each other at will. This leads to complex and diverse graphs structures. Our technique facilitates navigation and supports a workflow starting from a broad overview on the data and allows narrowing down until the desired level of detail to then broaden again. To validate the flow, two visualizations where implemented and presented to test-users. The users judged the usability of the visualizations, how the visualizations fit in the workflow and to which degree their features seemed useful for the exploration of linked data. There is a difference in the way users interact with resources, visually or textually, and how resources are represented for machines to be processed by algorithms. This difference complicates bridging the users' intents and machine executable queries. It is important to implement this 'translation' mechanism to impact the search as favorable as possible in terms of performance, complexity and accuracy. To do this, we explain a second technique, that supports such a bridging component. Our second technique is developed around three features that support the search process: looking up, relating and ranking resources. The main goal is to ensure that resources in the results are as precise and relevant as possible. During the evaluation of this technique, we did not only look at the precision of the search results but also investigated how the effectiveness of the search evolved while the user executed certain actions sequentially.
    When we speak about finding relationships between resources, it is necessary to dive deeper in the structure. The graph structure of linked data where the semantics give meaning to the relationships between resources enable the execution of pathfinding algorithms. The assigned weights and heuristics are base components of such algorithms and ultimately define (the order) which resources are included in a path. These paths explain indirect connections between resources. Our third technique proposes an algorithm that optimizes the choice of resources in terms of serendipity. Some optimizations guard the consistence of candidate-paths where the coherence of consecutive connections is maximized to avoid trivial and too arbitrary paths. The implementation uses the A* algorithm, the de-facto reference when it comes to heuristically optimized minimal cost paths. The effectiveness of paths was measured based on common automatic metrics and surveys where the users could indicate their preference for paths, generated each time in a different way. Finally, all our techniques are applied to a use case about publications in digital libraries where they are aligned with information about scientific conferences and researchers. The application to this use case is a practical example because the different aspects of exploratory search come together. In fact, the techniques also evolved from the experiences when implementing the use case. Practical details about the semantic model are explained and the implementation of the search system is clarified module by module. The evaluation positions the result, a prototype of a tool to explore scientific publications, researchers and conferences next to some important alternatives.
    Theme
    Semantic Web
  17. Timm, A.: Fachinformation in den Bereichen Gentechnologie und Molekularbiologie am Beispiel ausgewählter Datenbanken und Dienstleistungen im World Wide Web (1996) 0.03 
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  18. Bender, B.: Digitale Mündigkeit? : Definition und Dimensionen: eine theoretische Fundierung zwischen Medienbildung und Medienkompetenz (2016) 0.03 
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    Abstract
    In der vorliegenden Arbeit wurde die Frage »Was ist digitale Mündigkeit?« untersucht. Dabei war das Ziel, die Merkmale und Dimensionen von digitaler Mündigkeit literaturbasiert aufzudecken und die Erkenntnisse in eine erste Definition zu überführen. Dies geschah wie folgt: In der Einleitung wurde zunächst umrissen, wie es zur Wahl des Forschungsthemas kam, inwiefern digitale Mündigkeit die Gesellschaft verändert und welche Bereiche der Lebenswelt mit diesem Begriff angesprochen sind. Daraus erfolgte die Herleitung der Forschungsfrage. Im zweiten Kapitel folgte sodann die Darlegung der theoretisch angelegten Forschungsmethode, die in diesem Fall auf einer zunächst breiten, dann enger gefassten Literaturrecherche basierte. Ergänzend wurde auf die Methode der philosophischen Begriffsanalyse hingewiesen, die für die spätere Definition zum Einsatz kommen sollte. Mit Kapitel 3 wurde sodann in Fachtermini und relevante Begriffe eingeführt, gefolgt von einer Darlegung der Bedeutung von Big Data, Codes und Algorithmen für Individuum und Gesellschaft. Dies geschah anhand exemplarisch aus redaktionellen Beiträgen herausgegriffener Themen. Anschließend wurde der aktuelle Forschungsstand zum Thema präsentiert. Dies erfolgte jedoch vornehmlich aus Gründen eines empirischen Überblicks, nicht, weil aus diesen Studien Daten gewonnen werden sollten (denn die Datengewinnung erfolgte aus der Literatur). Danach wurde digitale Mündigkeit als medienpädagogisches Feld erörtert. In Kapitel 4 wurden relevante Theorien zur Mündigkeit präsentiert. Die Extrakte aus den verschiedenen Ansätzen wurden in einem abschließenden Unterkapitel für die spätere Definition von digitaler Mündigkeit zusammengefasst. Inwiefern digitale Mündigkeit mit den Konzepten der Medienkompetenz und Medienbildung in Verbindung gebracht werden kann, wurde in Kapitel 5 untersucht. Zu diesem Zweck wurden zunächst Entwicklung und Ansätze des Medienkompetenzbegriffs erläutert, gleiches geschah anschließend mit dem Medienbildungsbegriff. Nach einer Darstellung des langjährigen bildungswissenschaftlichen Diskurses um Medienkompetenz und/oder Medienbildung, wurden schließlich die Verhältnisse zwischen digitaler Mündigkeit, Medienkompetenz und Medienbildung betrachtet. Alle Vorarbeiten mündeten hiernach im sechsten Kapitel, in welchem zunächst der Begriff der allgemeinen Mündigkeit analysiert und sodann die Begriffskomponente 'digital' betrachtet wurde. Die in den vorangegangenen Kapiteln geknüpften Fäden liefen schlussendlich in einer fundierten Definition von digitaler Mündigkeit zusammen. Der Hauptteil endete mit einem Blick auf verwandte Begriffe.
    Content
    Bachelorarbeit, angefertigt im Studiengang B.A. Bildungswissenschaft an der FernUniversität in Hagen - Fakultät Kultur- und Sozialwissenschaften - Institut für Bildungswissenschaft und Medienforschung Lehrgebiet Bildungstheorie und Medienpädagogik. Vgl.: https://lesen-schreiben-bilden.net/wp-content/uploads/2017/02/BA_BB_ohnePr%C3%A4si_public.pdf.
  19. Pfeiffer, S.: Entwicklung einer Ontologie für die wissensbasierte Erschließung des ISDC-Repository und die Visualisierung kontextrelevanter semantischer Zusammenhänge (2010) 0.03 
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    Abstract
    In der heutigen Zeit sind Informationen jeglicher Art über das World Wide Web (WWW) für eine breite Bevölkerungsschicht zugänglich. Dabei ist es jedoch schwierig die existierenden Dokumente auch so aufzubereiten, dass die Inhalte für Maschinen inhaltlich interpretierbar sind. Das Semantic Web, eine Weiterentwicklung des WWWs, möchte dies ändern, indem es Webinhalte in maschinenverständlichen Formaten anbietet. Dadurch können Automatisierungsprozesse für die Suchanfragenoptimierung und für die Wissensbasenvernetzung eingesetzt werden. Die Web Ontology Language (OWL) ist eine mögliche Sprache, in der Wissen beschrieben und gespeichert werden kann (siehe Kapitel 4 OWL). Das Softwareprodukt Protégé unterstützt den Standard OWL, weshalb ein Großteil der Modellierungsarbeiten in Protégé durchgeführt wurde. Momentan erhält der Nutzer in den meisten Fällen bei der Informationsfindung im Internet lediglich Unterstützung durch eine von Suchmaschinenbetreibern vorgenommene Verschlagwortung des Dokumentinhaltes, d.h. Dokumente können nur nach einem bestimmten Wort oder einer bestimmten Wortgruppe durchsucht werden. Die Ausgabeliste der Suchergebnisse muss dann durch den Nutzer selbst gesichtet und nach Relevanz geordnet werden. Das kann ein sehr zeit- und arbeitsintensiver Prozess sein. Genau hier kann das Semantic Web einen erheblichen Beitrag in der Informationsaufbereitung für den Nutzer leisten, da die Ausgabe der Suchergebnisse bereits einer semantischen Überprüfung und Verknüpfung unterliegt. Deshalb fallen hier nicht relevante Informationsquellen von vornherein bei der Ausgabe heraus, was das Finden von gesuchten Dokumenten und Informationen in einem bestimmten Wissensbereich beschleunigt.
    Um die Vernetzung von Daten, Informationen und Wissen imWWWzu verbessern, werden verschiedene Ansätze verfolgt. Neben dem Semantic Web mit seinen verschiedenen Ausprägungen gibt es auch andere Ideen und Konzepte, welche die Verknüpfung von Wissen unterstützen. Foren, soziale Netzwerke und Wikis sind eine Möglichkeit des Wissensaustausches. In Wikis wird Wissen in Form von Artikeln gebündelt, um es so einer breiten Masse zur Verfügung zu stellen. Hier angebotene Informationen sollten jedoch kritisch hinterfragt werden, da die Autoren der Artikel in den meisten Fällen keine Verantwortung für die dort veröffentlichten Inhalte übernehmen müssen. Ein anderer Weg Wissen zu vernetzen bietet das Web of Linked Data. Hierbei werden strukturierte Daten des WWWs durch Verweise auf andere Datenquellen miteinander verbunden. Der Nutzer wird so im Zuge der Suche auf themenverwandte und verlinkte Datenquellen verwiesen. Die geowissenschaftlichen Metadaten mit ihren Inhalten und Beziehungen untereinander, die beim GFZ unter anderem im Information System and Data Center (ISDC) gespeichert sind, sollen als Ontologie in dieser Arbeit mit den Sprachkonstrukten von OWL modelliert werden. Diese Ontologie soll die Repräsentation und Suche von ISDC-spezifischem Domänenwissen durch die semantische Vernetzung persistenter ISDC-Metadaten entscheidend verbessern. Die in dieser Arbeit aufgezeigten Modellierungsmöglichkeiten, zunächst mit der Extensible Markup Language (XML) und später mit OWL, bilden die existierenden Metadatenbestände auf einer semantischen Ebene ab (siehe Abbildung 2). Durch die definierte Nutzung der Semantik, die in OWL vorhanden ist, kann mittels Maschinen ein Mehrwert aus den Metadaten gewonnen und dem Nutzer zur Verfügung gestellt werden. Geowissenschaftliche Informationen, Daten und Wissen können in semantische Zusammenhänge gebracht und verständlich repräsentiert werden. Unterstützende Informationen können ebenfalls problemlos in die Ontologie eingebunden werden. Dazu gehören z.B. Bilder zu den im ISDC gespeicherten Instrumenten, Plattformen oder Personen. Suchanfragen bezüglich geowissenschaftlicher Phänomene können auch ohne Expertenwissen über Zusammenhänge und Begriffe gestellt und beantwortet werden. Die Informationsrecherche und -aufbereitung gewinnt an Qualität und nutzt die existierenden Ressourcen im vollen Umfang.
  20. Müller, C.: Allegro im World Wide Web : Programierung eines Interfaces (1997) 0.02 
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