Search (31 results, page 1 of 2)

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  1. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.22 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  2. Gödert, W.: Navigation und Retrieval in Datenbanken und Informationsnetzen (1995) 0.02 
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    Footnote
    Ausarbeitung eines Vortrages anläßlich des SWD-Kolloquiums in der Deutschen Bibliothek in Frankfurt am 23.11.1994; Text beim Verfasser erhältlich
  3. Breuer, T.; Tavakolpoursaleh, N.; Schaer, P.; Hienert, D.; Schaible, J.; Castro, L.J.: Online Information Retrieval Evaluation using the STELLA Framework (2022) 0.01 
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    Abstract
    Involving users in early phases of software development has become a common strategy as it enables developers to consider user needs from the beginning. Once a system is in production, new opportunities to observe, evaluate and learn from users emerge as more information becomes available. Gathering information from users to continuously evaluate their behavior is a common practice for commercial software, while the Cranfield paradigm remains the preferred option for Information Retrieval (IR) and recommendation systems in the academic world. Here we introduce the Infrastructures for Living Labs STELLA project which aims to create an evaluation infrastructure allowing experimental systems to run along production web-based academic search systems with real users. STELLA combines user interactions and log files analyses to enable large-scale A/B experiments for academic search.
  4. Schaper, K.-H.: Vorteile und Grenzen eines konventionellen Archivs (1984) 0.01 
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    Source
    Vortrag, IFRA-Seminar "Elektronische Zeitungsarchive", Darmstadt, 3.-4.4.1984
  5. Robertson, S.E.: OKAPI at TREC (1994) 0.01 
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    Abstract
    Paper presented at the Text Retrieval Conference (TREC), Washington, DC, Nov 1992. Describes the OKAPI experimental text information retrieval system in terms of its design principles: the use of simple, robust and easy to use techniques which use best match searching and avoid Boolean logic
  6. Grötschel, M.; Lügger, J.; Sperber, W.: Wissenschaftliches Publizieren und elektronische Fachinformation im Umbruch : ein Situationsbericht aus der Sicht der Mathematik (1993) 0.01 
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  7. Tramullas, J.; Garrido-Picazo, P.; Sánchez-Casabón, A.I.: Use of Wikipedia categories on information retrieval research : a brief review (2020) 0.01 
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    Abstract
    Wikipedia categories, a classification scheme built for organizing and describing Wikpedia articles, are being applied in computer science research. This paper adopts a systematic literature review approach, in order to identify different approaches and uses of Wikipedia categories in information retrieval research. Several types of work are identified, depending on the intrinsic study of the categories structure, or its use as a tool for the processing and analysis of other documentary corpus different to Wikipedia. Information retrieval is identified as one of the major areas of use, in particular its application in the refinement and improvement of search expressions, and the construction of textual corpus. However, the set of available works shows that in many cases research approaches applied and results obtained can be integrated into a comprehensive and inclusive concept of information retrieval.
  8. Kelm, B.: Computergestützte Sacherschließung in der Deutschen Bibliothek Frankfurt am Main (1983) 0.01 
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  9. Geißelmann, F.: ¬The cataloging of electronic publications : ways out of heterogenity (2000) 0.01 
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    Form
    Elektronische Dokumente
  10. Robertson, S.E.: OKAPI at TREC-3 (1995) 0.01 
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    Abstract
    Reports text information retrieval experiments performed as part of the 3 rd round of Text Retrieval Conferences (TREC) using the Okapi online catalogue system at City University, UK. The emphasis in TREC-3 was: further refinement of term weighting functions; an investigation of run time passage determination and searching; expansion of ad hoc queries by terms extracted from the top documents retrieved by a trial search; new methods for choosing query expansion terms after relevance feedback, now split into methods of ranking terms prior to selection and subsequent selection procedures; and the development of a user interface procedure within the new TREC interactive search framework
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  11. Aydin, Ö.; Karaarslan, E.: OpenAI ChatGPT generated literature review: : digital twin in healthcare (2022) 0.01 
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    Abstract
    Literature review articles are essential to summarize the related work in the selected field. However, covering all related studies takes too much time and effort. This study questions how Artificial Intelligence can be used in this process. We used ChatGPT to create a literature review article to show the stage of the OpenAI ChatGPT artificial intelligence application. As the subject, the applications of Digital Twin in the health field were chosen. Abstracts of the last three years (2020, 2021 and 2022) papers were obtained from the keyword "Digital twin in healthcare" search results on Google Scholar and paraphrased by ChatGPT. Later on, we asked ChatGPT questions. The results are promising; however, the paraphrased parts had significant matches when checked with the Ithenticate tool. This article is the first attempt to show the compilation and expression of knowledge will be accelerated with the help of artificial intelligence. We are still at the beginning of such advances. The future academic publishing process will require less human effort, which in turn will allow academics to focus on their studies. In future studies, we will monitor citations to this study to evaluate the academic validity of the content produced by the ChatGPT. 1. Introduction OpenAI ChatGPT (ChatGPT, 2022) is a chatbot based on the OpenAI GPT-3 language model. It is designed to generate human-like text responses to user input in a conversational context. OpenAI ChatGPT is trained on a large dataset of human conversations and can be used to create responses to a wide range of topics and prompts. The chatbot can be used for customer service, content creation, and language translation tasks, creating replies in multiple languages. OpenAI ChatGPT is available through the OpenAI API, which allows developers to access and integrate the chatbot into their applications and systems. OpenAI ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) language model developed by OpenAI. It is designed to generate human-like text, allowing it to engage in conversation with users naturally and intuitively. OpenAI ChatGPT is trained on a large dataset of human conversations, allowing it to understand and respond to a wide range of topics and contexts. It can be used in various applications, such as chatbots, customer service agents, and language translation systems. OpenAI ChatGPT is a state-of-the-art language model able to generate coherent and natural text that can be indistinguishable from text written by a human. As an artificial intelligence, ChatGPT may need help to change academic writing practices. However, it can provide information and guidance on ways to improve people's academic writing skills.
  12. Robertson, S.E.: OKAPI at TREC-1 (1994) 0.01 
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    Abstract
    Describes the work carried out on the TREC-2 project following the results of the TREC-1 project. Experiments were conducted on the OKAPI experimental text information retrieval system which investigated a number of alternative probabilistic term weighting functions in place of the 'standard' Robertson Sparck Jones weighting functions used in TREC-1
  13. Panzer, M.: Dewey Web services : overview (2009) 0.00 
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  14. Jansen, B.; Browne, G.M.: Navigating information spaces : index / mind map / topic map? (2021) 0.00 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  15. Pejtersen, A.M.; Jensen, H.; Speck, P.; Villumsen, S.; Weber, S.: Catalogs for children : the Book House project on visualization of database retrieval and classification (1993) 0.00 
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    Abstract
    This paper describes the Book House system which is designed to support children's information retrieval in libraries as part of their education. It is a shareware program available on CD-ROM and discs, and comprises functionality for database searching as well as for the classification and storage of book information in the database. The system concept is based on an understanding of children's domain structures and their capabilities for categorization of information needs in connection with their activities in public libraries, in school libraries or in schools. These structures are visualized in the interface by using metaphors and multimedia technology. Through the use of text, images and animation, the Book House supports children - even at a very early age - to learn by doing in an enjoyable way which plays on their previous experiences with computer games. Both words and pictures can be used for searching; this makes the system suitable for all age groups. Even children who have not yet learned to read properly can by selecting pictures search for and find books they would like to have read aloud. Thus at the very beginning of their school period, they can learn to search for books on their own. For the library community itself, such a system will provide an extended service which will increase the number of children's own searches and also improve the relevance, quality and utilization of the collections in the libraries. A market research on the need for an annual indexing service for books in the Book House format is in preparation by the Danish Library Center
  16. Geißelmann, F.: Perspektiven für eine DDC-Anwendung in den Bibliotheksverbünden (1999) 0.00 
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    Abstract
    Ich sehe meine Aufgabe also daher darin, darzulegen, was aus meiner Sicht eine deutsche wissenschaftliche Bibliothek, vielleicht noch enger eine Hochschulbibliothek mit der DDC anfangen kann.
  17. Williamson, N.J.: Online Klassifikation : Gegenwart und Zukunft (1988) 0.00 
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    Theme
    Klassifikationssysteme im Online-Retrieval
  18. Lange, C.; Ion, P.; Dimou, A.; Bratsas, C.; Sperber, W.; Kohlhasel, M.; Antoniou, I.: Getting mathematics towards the Web of Data : the case of the Mathematics Subject Classification (2012) 0.00 
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    Abstract
    The Mathematics Subject Classification (MSC), maintained by the American Mathematical Society's Mathematical Reviews (MR) and FIZ Karlsruhe's Zentralblatt für Mathematik (Zbl), is a scheme for classifying publications in mathematics according to their subjects. While it is widely used, its traditional, idiosyncratic conceptualization and representation requires custom implementations of search, query and annotation support. This did not encourage people to create and explore connections of mathematics to subjects of related domains (e.g. science), and it made the scheme hard to maintain. We have reimplemented the current version of MSC2010 as a Linked Open Dataset using SKOS and our focus is concentrated on turning it into the new MSC authority. This paper explains the motivation, and details of our design considerations and how we realized them in the implementation. We present in-the-field use cases and point out how e-science applications can take advantage of the MSC LOD set. We conclude with a roadmap for bootstrapping the presence of mathematical and mathematics-based science, technology, and engineering knowledge on the Web of Data, where it has been noticeably underrepresented so far, starting from MSC/SKOS as a seed.
    Footnote
    Vgl. auch den publizierten Beitrag u.d.T.: Bringing mathematics towards the Web of Data: the case of the Mathematics Subject Classification
  19. Smith, R.: Nationalbibliographien auf CD-ROM : Entwicklung eines gemeinsamen Ansatzes (1993) 0.00 
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    Abstract
    Dieses Papier beschreibt, wie ein EG-finanziertes Projekt, unter Einbeziehung von 7 Nationalbibliotheken, die Entwicklung gemeinsamer Problemansätze bei CD-ROM Veröffentlichungen gefördert hat. Das Projekt als ganzes wird beschrieben und auf die Hauptergebnisse hingewiesen, einschließlich der Formulierung einer allgemeinen RetrievalSchnittstelle und der Entwicklung eines UNIMARC-Pilotprojektes auf CD-ROM unter Einbeziehung von 4 Nationalbibliographien. Das Papier beschreibt weiterhin in detaillierter Form die Hauptaspekte der Retrieval-Schnittstelle und die Methodologie für die Entwicklung einer CD-ROM von 4 unterschiedlichen bibliographischen Daten mit jeweils verschiedenen Formaten und Zeichensätzen
  20. Luo, L.; Ju, J.; Li, Y.-F.; Haffari, G.; Xiong, B.; Pan, S.: ChatRule: mining logical rules with large language models for knowledge graph reasoning (2023) 0.00 
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    Abstract
    Logical rules are essential for uncovering the logical connections between relations, which could improve the reasoning performance and provide interpretable results on knowledge graphs (KGs). Although there have been many efforts to mine meaningful logical rules over KGs, existing methods suffer from the computationally intensive searches over the rule space and a lack of scalability for large-scale KGs. Besides, they often ignore the semantics of relations which is crucial for uncovering logical connections. Recently, large language models (LLMs) have shown impressive performance in the field of natural language processing and various applications, owing to their emergent ability and generalizability. In this paper, we propose a novel framework, ChatRule, unleashing the power of large language models for mining logical rules over knowledge graphs. Specifically, the framework is initiated with an LLM-based rule generator, leveraging both the semantic and structural information of KGs to prompt LLMs to generate logical rules. To refine the generated rules, a rule ranking module estimates the rule quality by incorporating facts from existing KGs. Last, a rule validator harnesses the reasoning ability of LLMs to validate the logical correctness of ranked rules through chain-of-thought reasoning. ChatRule is evaluated on four large-scale KGs, w.r.t. different rule quality metrics and downstream tasks, showing the effectiveness and scalability of our method.
    Date
    23.11.2023 19:07:22

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