-
Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000)
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- Date
- 11. 8.2001 16:22:19
-
Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990)
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- Date
- 22. 7.2006 18:43:54
-
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.
-
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
-
Chowdhury, G.G.: Introduction to modern information retrieval (1999)
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- Content
- Enthält die Kapitel: 1. Basic concepts of information retrieval systems, 2. Database technology, 3. Bibliographic formats, 4. Subject analysis and representation, 5. Automatic indexing and file organization, 6. Vocabulary control, 7. Abstracts and abstracting, 8. Searching and retrieval, 9. Users of information retrieval, 10. Evaluation of information retrieval systems, 11. Evaluation experiments, 12. Online information retrieval, 13. CD-ROM information retrieval, 14. Trends in CD-ROM and online information retrieval, 15. Multimedia information retrieval, 16. Hypertext and hypermedia systems, 17. Intelligent information retrieval, 18. Natural language processing and information retrieval, 19. Natural language interfaces, 20. Natural language text processing and retrieval systems, 21. Problems and prospects of natural language processing systems, 22. The Internet and information retrieval, 23. Trends in information retrieval.
-
Bovey, J.D.: Event-based personal retrieval (1996)
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- Abstract
- People who work in a research, academic or business environemtn often have personal information collections which are large enough to need retrieval aids. A major difference between personal information retrieval and standard information retrieval is that the items to be retrieved are often associated with events in the searcher's life and ca be retrieved by their relationship of other events as well as by content. Describes the background to evenet based retrieval and describes a prototype graphical event based retrieval system, developed at Kent University, UK, employing the hive event browser
- Source
- Journal of information science. 22(1996) no.5, S.357-366
-
Boyack, K.W.; Wylie,B.N.; Davidson, G.S.: Information Visualization, Human-Computer Interaction, and Cognitive Psychology : Domain Visualizations (2002)
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- Date
- 22. 2.2003 17:25:39
22. 2.2003 18:17:40
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
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.
-
Lancaster, F.W.: Vocabulary control for information retrieval (1986)
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- Date
- 22. 4.2007 10:07:51
- LCSH
- Information retrieval
- RSWK
- Information Retrieval / Terminologische Kontrolle
- Subject
- Information Retrieval / Terminologische Kontrolle
Information retrieval
-
Jaenecke, P.: Wozu Wissensorganisation? (1995)
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- Pages
- S.22-35
- Source
- Konstruktion und Retrieval von Wissen: 3. Tagung der Deutschen ISKO-Sektion einschließlich der Vorträge des Workshops "Thesauri als terminologische Lexika", Weilburg, 27.-29.10.1993. Hrsg.: N. Meder u.a
-
Lundquist, C.; Frieder, O.; Holmes, D.O.; Grossman, D.: ¬A parallel relational database management system approach to relevance feedback in information retrieval (1999)
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- Date
- 17. 1.2000 12:22:18
-
Byrne, C.C.; McCracken, S.A.: ¬An adaptive thesaurus employing semantic distance, relational inheritance and nominal compound interpretation for linguistic support of information retrieval (1999)
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- Date
- 15. 3.2000 10:22:37
-
Lim, E.: Southeast Asian subject gateways : an examination of their classification practices (2000)
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- Date
- 22. 6.2002 19:42:47
- Theme
- Klassifikationssysteme im Online-Retrieval
-
Sosinska-Kalata, B.: Modele organizacji wiedzy w systemach wyszukiwania informacji o dukumentach (1999)
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- Content
- Übers. des Titels: Models of knowledge organization in documentary information retrieval systems
- Isbn
- 83-97629-22-7
-
Zhang, L.; Pan, Y.; Zhang, T.: Focused named entity recognition using machine learning (2004)
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- Date
- 15.10.2005 19:57:22
- Source
- SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a
-
Mooers, C.: ¬The indexing language of an information retrieval system (1963)
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- Source
- Information retrieval today: papers presented at an Institute conducted by the Library School and the Cetre for Continuation Study, University of Minnesota, Sept. 19-22, 1962. Ed. by. Wesley Simonton
-
InTEXT becomes globally active (1995)
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- Abstract
- Reviews the range of the text retrieval software from InTEXT Systems, San Francisco, with particular reference to their range of new products based on intelligent, object oriented technology. These developments centre on searching and retrieval over the Internet and the WWW
- Date
- 22. 2.1996 10:18:16
-
Budd, J.M.: ¬The complexity of information retrieval : a hypothetical example (1996)
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- Abstract
- Inquiries made by academic library users are more complex than they may appear. Successful information retrieval based on complex queries is a function of cataloguing, classification, and the librarian's interpretation. Explores aspects of complexitiy using a proposed query as an example
- Source
- Journal of academic librarianship. 22(1996) no.2, S.111-117
-
Martin, W.J.: ¬The information society (1995)
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- Date
- 15. 7.2002 14:22:55
- LCSH
- Information storage and retrieval systems / Social aspects
- Subject
- Information storage and retrieval systems / Social aspects
-
Biebricher, N.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬The automatic indexing system AIR/PHYS : from research to application (1988)
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- Date
- 16. 8.1998 12:51:22
- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.513-517.
- Source
- Proceedings of the 11th annual conference on research and development in information retrieval. Ed.: Y. Chiaramella
