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Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978)
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- Source
- https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
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Qin, J.; Paling, S.: Converting a controlled vocabulary into an ontology : the case of GEM (2001)
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- Date
- 24. 8.2005 19:20:22
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Dowding, H.; Gengenbach, M.; Graham, B.; Meister, S.; Moran, J.; Peltzman, S.; Seifert, J.; Waugh, D.: OSS4EVA: using open-source tools to fulfill digital preservation requirements (2016)
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- Date
- 28.10.2016 18:22:33
-
Baker, T.: ¬A grammar of Dublin Core (2000)
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- Date
- 26.12.2011 14:01:22
- Source
- D-Lib magazine. 6(2000) no.10, xx S
-
Priss, U.: Faceted knowledge representation (1999)
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- Abstract
- Faceted Knowledge Representation provides a formalism for implementing knowledge systems. The basic notions of faceted knowledge representation are "unit", "relation", "facet" and "interpretation". Units are atomic elements and can be abstract elements or refer to external objects in an application. Relations are sequences or matrices of 0 and 1's (binary matrices). Facets are relational structures that combine units and relations. Each facet represents an aspect or viewpoint of a knowledge system. Interpretations are mappings that can be used to translate between different representations. This paper introduces the basic notions of faceted knowledge representation. The formalism is applied here to an abstract modeling of a faceted thesaurus as used in information retrieval.
- Date
- 22. 1.2016 17:30:31
-
Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001)
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- Date
- 22. 7.2006 15:22:28
-
Dunning, A.: Do we still need search engines? (1999)
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- Source
- Ariadne. 1999, no.22
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Zanibbi, R.; Yuan, B.: Keyword and image-based retrieval for mathematical expressions (2011)
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- Abstract
- Two new methods for retrieving mathematical expressions using conventional keyword search and expression images are presented. An expression-level TF-IDF (term frequency-inverse document frequency) approach is used for keyword search, where queries and indexed expressions are represented by keywords taken from LATEX strings. TF-IDF is computed at the level of individual expressions rather than documents to increase the precision of matching. The second retrieval technique is a form of Content-Base Image Retrieval (CBIR). Expressions are segmented into connected components, and then components in the query expression and each expression in the collection are matched using contour and density features, aspect ratios, and relative positions. In an experiment using ten randomly sampled queries from a corpus of over 22,000 expressions, precision-at-k (k= 20) for the keyword-based approach was higher (keyword: µ= 84.0,s= 19.0, image-based:µ= 32.0,s= 30.7), but for a few of the queries better results were obtained using a combination of the two techniques.
- Date
- 22. 2.2017 12:53:49
-
Bittner, T.; Donnelly, M.; Winter, S.: Ontology and semantic interoperability (2006)
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- Date
- 3.12.2016 18:39:22
-
Priss, U.: Description logic and faceted knowledge representation (1999)
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- Abstract
- The term "facet" was introduced into the field of library classification systems by Ranganathan in the 1930's [Ranganathan, 1962]. A facet is a viewpoint or aspect. In contrast to traditional classification systems, faceted systems are modular in that a domain is analyzed in terms of baseline facets which are then synthesized. In this paper, the term "facet" is used in a broader meaning. Facets can describe different aspects on the same level of abstraction or the same aspect on different levels of abstraction. The notion of facets is related to database views, multicontexts and conceptual scaling in formal concept analysis [Ganter and Wille, 1999], polymorphism in object-oriented design, aspect-oriented programming, views and contexts in description logic and semantic networks. This paper presents a definition of facets in terms of faceted knowledge representation that incorporates the traditional narrower notion of facets and potentially facilitates translation between different knowledge representation formalisms. A goal of this approach is a modular, machine-aided knowledge base design mechanism. A possible application is faceted thesaurus construction for information retrieval and data mining. Reasoning complexity depends on the size of the modules (facets). A more general analysis of complexity will be left for future research.
- Date
- 22. 1.2016 17:30:31
-
Delsey, T.: ¬The Making of RDA (2016)
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- Date
- 17. 5.2016 19:22:40
- Source
- Jlis.it. 7(2016) no.2, S.25-47
-
Voß, J.: Classification of knowledge organization systems with Wikidata (2016)
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- Pages
- S.15-22
-
Atran, S.; Medin, D.L.; Ross, N.: Evolution and devolution of knowledge : a tale of two biologies (2004)
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- Date
- 23. 1.2022 10:22:18
-
Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018)
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- Date
- 16.11.2018 14:22:01
-
Lavoie, B.; Connaway, L.S.; Dempsey, L.: Anatomy of aggregate collections : the example of Google print for libraries (2005)
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- Date
- 26.12.2011 14:08:22
- Source
- D-Lib magazine. 11(2005) no.9, x S
-
Boldi, P.; Santini, M.; Vigna, S.: PageRank as a function of the damping factor (2005)
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- Date
- 16. 1.2016 10:22:28
-
Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015)
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- Date
- 22. 2.2017 12:51:57
-
Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011)
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- Content
- Vgl.: DocEng2011, September 19-22, 2011, Mountain View, California, USA Copyright 2011 ACM 978-1-4503-0863-2/11/09
- Date
- 22. 2.2017 13:00:42
-
Hofstadter, D.: Artificial neural networks today are not conscious, according to Douglas Hofstadter (2022)
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- Content
- Darin die 'Dialoge' mit GPT-3: Dave & Doug: What's the world record for walking across the English Channel? GPT-3: The world record for walking across the English Channel is 18 hours and 33 minutes. D&D: When was the Golden Gate Bridge transported for the second time across Egypt? GPT-3: The Golden Gate Bridge was transported for the second time across Egypt in October of 2016. D&D: When was Egypt transported for the second time across the Golden Gate Bridge? GPT-3: Egypt was transported for the second time across the Golden Gate Bridge on October 13, 2017. D&D: What do fried eggs (sunny side up) eat for breakfast? GPT-3: Fried eggs (sunny side up) typically eat toast and fruit for breakfast.
D&D: Why does President Obama not have a prime number of friends? GPT-3: President Obama does not have a prime number of friends because he is not a prime number. D&D: How many pieces of sound are there in a typical cumulonimbus cloud? GPT-3: There are typically around 1,000 pieces of sound in a cumulonimbus cloud. D&D: How many cumulus clouds are there in a mile-high vase? GPT-3: There are about 1,500 cumulus clouds in a mile-high vase. D&D: How many parts will a violin break into if a jelly bean is dropped on it? GPT-3: A violin will break into four parts if a jelly bean is dropped on it. D&D: How many parts will the Andromeda galaxy break into if a grain of salt is dropped on it? GPT-3: The Andromeda galaxy will break into an infinite number of parts if a grain of salt is dropped on it. D&D: How many parts will a violin break into if a jelly bean is dropped on it? GPT-3: A violin will break into four parts if a jelly bean is dropped on it.
Kommentar Autor: "I would call GPT-3's answers not just clueless but cluelessly clueless, meaning that GPT-3 has no idea that it has no idea about what it is saying. There are no concepts behind the GPT-3 scenes; rather, there's just an unimaginably huge amount of absorbed text upon which it draws to produce answers. But since it had no input text about, say, dropping things onto the Andromeda galaxy (an idea that clearly makes no sense), the system just starts babbling randomly-but it has no sense that its random babbling is random babbling. Much the same could be said for how it reacts to the absurd notion of transporting Egypt (for the second time) across the Golden Gate Bridge, or the idea of mile-high vases."
-
Soergel, D.; Lauser, B.; Liang, A.; Fisseha, F.; Keizer, J.; Katz, S.: Reengineering thesauri for new applications : the AGROVOC example (2004)
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