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Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011)
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- Content
- Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
-
Xiong, C.: Knowledge based text representations for information retrieval (2016)
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- Abstract
- The successes of information retrieval (IR) in recent decades were built upon bag-of-words representations. Effective as it is, bag-of-words is only a shallow text understanding; there is a limited amount of information for document ranking in the word space. This dissertation goes beyond words and builds knowledge based text representations, which embed the external and carefully curated information from knowledge bases, and provide richer and structured evidence for more advanced information retrieval systems. This thesis research first builds query representations with entities associated with the query. Entities' descriptions are used by query expansion techniques that enrich the query with explanation terms. Then we present a general framework that represents a query with entities that appear in the query, are retrieved by the query, or frequently show up in the top retrieved documents. A latent space model is developed to jointly learn the connections from query to entities and the ranking of documents, modeling the external evidence from knowledge bases and internal ranking features cooperatively. To further improve the quality of relevant entities, a defining factor of our query representations, we introduce learning to rank to entity search and retrieve better entities from knowledge bases. In the document representation part, this thesis research also moves one step forward with a bag-of-entities model, in which documents are represented by their automatic entity annotations, and the ranking is performed in the entity space.
This proposal includes plans to improve the quality of relevant entities with a co-learning framework that learns from both entity labels and document labels. We also plan to develop a hybrid ranking system that combines word based and entity based representations together with their uncertainties considered. At last, we plan to enrich the text representations with connections between entities. We propose several ways to infer entity graph representations for texts, and to rank documents using their structure representations. This dissertation overcomes the limitation of word based representations with external and carefully curated information from knowledge bases. We believe this thesis research is a solid start towards the new generation of intelligent, semantic, and structured information retrieval.
- 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.
-
Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014)
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- Source
- http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
-
Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019)
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- Abstract
- On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such as application (e.g., face recognition), model (e.g., svm, knn), and metric (e.g., precision). In this work, we aim at building faceted concept hierarchies from scientific literature. Hierarchy construction methods heavily rely on hypernym detection, however, the faceted relations are parent-to-child links but the hypernym relation is a multi-hop, i.e., ancestor-to-descendent link with a specific facet "type-of". We use information extraction techniques to find synonyms, sibling concepts, and ancestor-descendent relations from a data science corpus. And we propose a hierarchy growth algorithm to infer the parent-child links from the three types of relationships. It resolves conflicts by maintaining the acyclic structure of a hierarchy.
- Content
- Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
-
Gödert, W.; Lepsky, K.: Informationelle Kompetenz : ein humanistischer Entwurf (2019)
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- Footnote
- Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].
- Theme
- Information
-
Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012)
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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
-
Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019)
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- Footnote
- https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
-
Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010)
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- 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.
- Imprint
- Trento : University / Department of information engineering and computer science
-
Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013)
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- Content
- Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
-
Shala, E.: ¬Die Autonomie des Menschen und der Maschine : gegenwärtige Definitionen von Autonomie zwischen philosophischem Hintergrund und technologischer Umsetzbarkeit (2014)
0.23
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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.
-
Piros, A.: Az ETO-jelzetek automatikus interpretálásának és elemzésének kérdései (2018)
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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>
-
Hjoerland, B.: ¬The importance of theories of knowledge : indexing and information retrieval as an example (2011)
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- Abstract
- A recent study in information science (IS), raises important issues concerning the value of human indexing and basic theories of indexing and information retrieval, as well as the use of quantitative and qualitative approaches in IS and the underlying theories of knowledge informing the field. The present article uses L&E as the point of departure for demonstrating in what way more social and interpretative understandings may provide fruitful improvements for research in indexing, knowledge organization, and information retrieval. The artcle is motivated by the observation that philosophical contributions tend to be ignored in IS if they are not directly formed as criticisms or invitations to dialogs. It is part of the author's ongoing publication of articles about philosophical issues in IS and it is intended to be followed by analyzes of other examples of contributions to core issues in IS. Although it is formulated as a criticism of a specific paper, it should be seen as part of a general discussion of the philosophical foundation of IS and as a support to the emerging social paradigm in this field.
- Date
- 17. 3.2011 19:22:55
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.72-77
-
Julien, C.-A.; Tirilly, P.; Leide, J.E.; Guastavino, C.: Using the LCSH hierarchy to browse a collection (2012)
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- Abstract
- The Library of Congress Subject Headings (LCSH) is a subject structure used to index large collections throughout the world. Browsing a collection through LCSH is difficult using current on-line tools in part because they are inadequately integrated with information collections. Users of these LCSH browsing tools are expected to find a promising LCSH string before using it to search for the information itself; many users do not have the patience for such a two-step process. This article proposes a method to fully integrate a specific collection in its subset of the LCSH hierarchy in order to facilitate LCSH browsing as well as information retrieval. Techniques are described to match LCSH strings assigned to the collection with an established string from the authority records, and build their specific LCSH hierarchy. The resulting subset of LCSH structure is described in terms of its size and broader/narrower term statistics, and implications for browsing and information retrieval are discussed. The results of this research have implications for institutions wishing to further capitalize on existing LCSH organization investments for the purpose of subject browsing and information retrieval.
- Theme
- Verbale Doksprachen im Online-Retrieval
-
Chu, H.: Information representation and retrieval in the digital age (2010)
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- Content
- Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.
- Imprint
- Medford, NJ : Information Today
- LCSH
- Information organization
Information retrieval
Information storage and retrieval systems
- Subject
- Information organization
Information retrieval
Information storage and retrieval systems
-
Badia, A.: Data, information, knowledge : an information science analysis (2014)
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- Abstract
- I analyze the text of an article that appeared in this journal in 2007 that published the results of a questionnaire in which a number of experts were asked to define the concepts of data, information, and knowledge. I apply standard information retrieval techniques to build a list of the most frequent terms in each set of definitions. I then apply information extraction techniques to analyze how the top terms are used in the definitions. As a result, I draw data-driven conclusions about the aggregate opinion of the experts. I contrast this with the original analysis of the data to provide readers with an alternative viewpoint on what the data tell us.
- Date
- 16. 6.2014 19:22:57
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1279-1287
- Theme
- Information
-
White, R.W.: Interactive techniques (2011)
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- Source
- Interactive information seeking, behaviour and retrieval. Eds.: Ruthven, I. u. D. Kelly
-
Proceedings of the 2nd International Workshop on Semantic Digital Archives held in conjunction with the 16th Int. Conference on Theory and Practice of Digital Libraries (TPDL) on September 27, 2012 in Paphos, Cyprus (2012)
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- Abstract
- Archival Information Systems (AIS) are becoming increasingly important. For decades, the amount of content created digitally is growing and its complete life cycle nowadays tends to remain digital. A selection of this content is expected to be of value for the future and can thus be considered being part of our cultural heritage. However, digital content poses many challenges for long-term or indefinite preservation, e.g. digital publications become increasingly complex by the embedding of different kinds of multimedia, data in arbitrary formats and software. As soon as these digital publications become obsolete, but are still deemed to be of value in the future, they have to be transferred smoothly into appropriate AIS where they need to be kept accessible even through changing technologies. The successful previous SDA workshop in 2011 showed: Both, the library and the archiving community have made valuable contributions to the management of huge amounts of knowledge and data. However, both are approaching this topic from different views which shall be brought together to cross-fertilize each other. There are promising combinations of pertinence and provenance models since those are traditionally the prevailing knowledge organization principles of the library and archiving community, respectively. Another scientific discipline providing promising technical solutions for knowledge representation and knowledge management is semantic technologies, which is supported by appropriate W3C recommendations and a large user community. At the forefront of making the semantic web a mature and applicable reality is the linked data initiative, which already has started to be adopted by the library community. It can be expected that using semantic (web) technologies in general and linked data in particular can mature the area of digital archiving as well as technologically tighten the natural bond between digital libraries and digital archives. Semantic representations of contextual knowledge about cultural heritage objects will enhance organization and access of data and knowledge. In order to achieve a comprehensive investigation, the information seeking and document triage behaviors of users (an area also classified under the field of Human Computer Interaction) will also be included in the research.
One of the major challenges of digital archiving is how to deal with changing technologies and changing user communities. On the one hand software, hardware and (multimedia) data formats that become obsolete and are not supported anymore still need to be kept accessible. On the other hand changing user communities necessitate technical means to formalize, detect and measure knowledge evolution. Furthermore, digital archival records are usually not deleted from the AIS and therefore, the amount of digitally archived (multimedia) content can be expected to grow rapidly. Therefore, efficient storage management solutions geared to the fact that cultural heritage is not as frequently accessed like up-to-date content residing in a digital library are required. Software and hardware needs to be tightly connected based on sophisticated knowledge representation and management models in order to face that challenge. In line with the above, contributions to the workshop should focus on, but are not limited to:
Semantic search & semantic information retrieval in digital archives and digital libraries Semantic multimedia archives Ontologies & linked data for digital archives and digital libraries Ontologies & linked data for multimedia archives Implementations and evaluations of semantic digital archives Visualization and exploration of digital content User interfaces for semantic digital libraries User interfaces for intelligent multimedia information retrieval User studies focusing on end-user needs and information seeking behavior of end-users Theoretical and practical archiving frameworks using Semantic (Web) technologies Logical theories for digital archives Semantic (Web) services implementing the OAIS standard Semantic or logical provenance models for digital archives or digital libraries Information integration/semantic ingest (e.g. from digital libraries) Trust for ingest and data security/integrity check for long-term storage of archival records Semantic extensions of emulation/virtualization methodologies tailored for digital archives Semantic long-term storage and hardware organization tailored for AIS Migration strategies based on Semantic (Web) technologies Knowledge evolution We expect new insights and results for sustainable technical solutions for digital archiving using knowledge management techniques based on semantic technologies. The workshop emphasizes interdisciplinarity and aims at an audience consisting of scientists and scholars from the digital library, digital archiving, multimedia technology and semantic web community, the information and library sciences, as well as, from the social sciences and (digital) humanities, in particular people working on the mentioned topics. We encourage end-users, practitioners and policy-makers from cultural heritage institutions to participate as well.
-
Zhou, D.; Lawless, S.; Wu, X.; Zhao, W.; Liu, J.: ¬A study of user profile representation for personalized cross-language information retrieval (2016)
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- Abstract
- Purpose - With an increase in the amount of multilingual content on the World Wide Web, users are often striving to access information provided in a language of which they are non-native speakers. The purpose of this paper is to present a comprehensive study of user profile representation techniques and investigate their use in personalized cross-language information retrieval (CLIR) systems through the means of personalized query expansion. Design/methodology/approach - The user profiles consist of weighted terms computed by using frequency-based methods such as tf-idf and BM25, as well as various latent semantic models trained on monolingual documents and cross-lingual comparable documents. This paper also proposes an automatic evaluation method for comparing various user profile generation techniques and query expansion methods. Findings - Experimental results suggest that latent semantic-weighted user profile representation techniques are superior to frequency-based methods, and are particularly suitable for users with a sufficient amount of historical data. The study also confirmed that user profiles represented by latent semantic models trained on a cross-lingual level gained better performance than the models trained on a monolingual level. Originality/value - Previous studies on personalized information retrieval systems have primarily investigated user profiles and personalization strategies on a monolingual level. The effect of utilizing such monolingual profiles for personalized CLIR remains unclear. The current study fills the gap by a comprehensive study of user profile representation for personalized CLIR and a novel personalized CLIR evaluation methodology to ensure repeatable and controlled experiments can be conducted.
- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 68(2016) no.4, S.448-477
-
Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015)
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- Abstract
- We present a short survey of the literature on indexing and retrieval of mathematical knowledge, with pointers to 72 papers and tentative taxonomies of both retrieval problems and recurring techniques.
- Date
- 22. 2.2017 12:51:57
-
Wang, Y.; Lee, J.-S.; Choi, I.-C.: Indexing by Latent Dirichlet Allocation and an Ensemble Model (2016)
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- Abstract
- The contribution of this article is twofold. First, we present Indexing by latent Dirichlet allocation (LDI), an automatic document indexing method. Many ad hoc applications, or their variants with smoothing techniques suggested in LDA-based language modeling, can result in unsatisfactory performance as the document representations do not accurately reflect concept space. To improve document retrieval performance, we introduce a new definition of document probability vectors in the context of LDA and present a novel scheme for automatic document indexing based on LDA. Second, we propose an Ensemble Model (EnM) for document retrieval. EnM combines basic indexing models by assigning different weights and attempts to uncover the optimal weights to maximize the mean average precision. To solve the optimization problem, we propose an algorithm, which is derived based on the boosting method. The results of our computational experiments on benchmark data sets indicate that both the proposed approaches are viable options for document retrieval.
- Date
- 12. 6.2016 21:39:22
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.7, S.1736-1750
