-
Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Stewart, A.: Sociohistorical recommendations for the reclassification of pentecostalism in the Dewey Decimal Classification system (2019)
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- Content
- https://www.o-bib.de/article/view/5120. https://doi.org/10.5282/o-bib/2019H1S42-59.
- Source
- o-bib: Das offene Bibliotheksjournal. 6(2019) Nr.1, S.42-59
-
Zanibbi, R.; Yuan, B.: Keyword and image-based retrieval for mathematical expressions (2011)
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- Date
- 22. 2.2017 12:53:49
-
Danskin, A.: RDA implementation and application : British Library (2014)
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- Source
- o-bib: Das offene Bibliotheksjournal. 1(2014) Nr.1, S.187-191
-
Maaten, L. van den: Accelerating t-SNE using Tree-Based Algorithms (2014)
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- Abstract
- The paper investigates the acceleration of t-SNE-an embedding technique that is commonly used for the visualization of high-dimensional data in scatter plots-using two tree-based algorithms. In particular, the paper develops variants of the Barnes-Hut algorithm and of the dual-tree algorithm that approximate the gradient used for learning t-SNE embeddings in O(N*logN). Our experiments show that the resulting algorithms substantially accelerate t-SNE, and that they make it possible to learn embeddings of data sets with millions of objects. Somewhat counterintuitively, the Barnes-Hut variant of t-SNE appears to outperform the dual-tree variant.
-
Lange, C.; Mossakowski, T.; Galinski, C.; Kutz, O.: Making heterogeneous ontologies interoperable through standardisation : a Meta Ontology Language to be standardised: Ontology Integration and Interoperability (OntoIOp) (2011)
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Gómez-Pérez, A.; Corcho, O.: Ontology languages for the Semantic Web (2015)
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Kiros, R.; Salakhutdinov, R.; Zemel, R.S.: Unifying visual-semantic embeddings with multimodal neural language models (2014)
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-
Gayathri, R.; Uma, V.: Ontology based knowledge representation technique, domain modeling languages and planners for robotic path planning : a survey (2018)
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- Abstract
- Knowledge Representation and Reasoning (KR & R) has become one of the promising fields of Artificial Intelligence. KR is dedicated towards representing information about the domain that can be utilized in path planning. Ontology based knowledge representation and reasoning techniques provide sophisticated knowledge about the environment for processing tasks or methods. Ontology helps in representing the knowledge about environment, events and actions that help in path planning and making robots more autonomous. Knowledge reasoning techniques can infer new conclusion and thus aids planning dynamically in a non-deterministic environment. In the initial sections, the representation of knowledge using ontology and the techniques for reasoning that could contribute in path planning are discussed in detail. In the following section, we also provide comparison of various planning domain modeling languages, ontology editors, planners and robot simulation tools.
-
Denton, W.: On dentographs, a new method of visualizing library collections (2012)
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- Abstract
- A dentograph is a visualization of a library's collection built on the idea that a classification scheme is a mathematical function mapping one set of things (books or the universe of knowledge) onto another (a set of numbers and letters). Dentographs can visualize aspects of just one collection or can be used to compare two or more collections. This article describes how to build them, with examples and code using Ruby and R, and discusses some problems and future directions.
-
Maguire, P.; Maguire, R.: Consciousness is data compression (2010)
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Celik, I.; Abel, F.; Siehndel, P.: Adaptive faceted search on Twitter (2011)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Shen, M.; Liu, D.-R.; Huang, Y.-S.: Extracting semantic relations to enrich domain ontologies (2012)
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Bandholtz, T.; Schulte-Coerne, T.; Glaser, R.; Fock, J.; Keller, T.: iQvoc - open source SKOS(XL) maintenance and publishing tool (2010)
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Szostak, R.; Smiraglia, R.P.: Comparative approaches to interdisciplinary KOSs : use cases of converting UDC to BCC (2017)
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Liu, P.J.; Saleh, M.; Pot, E.; Goodrich, B.; Sepassi, R.; Kaiser, L.; Shazeer, N.: Generating Wikipedia by summarizing long sequences (2018)
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Junger, U.: Can indexing be automated? : the example of the Deutsche Nationalbibliothek (2012)
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Gábor, K.; Zargayouna, H.; Tellier, I.; Buscaldi, D.; Charnois, T.: ¬A typology of semantic relations dedicated to scientific literature analysis (2016)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
O'Neill, E.T.; Bennett, R.; Kammerer, K.: Using authorities to improve subject searches (2012)
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Rehurek, R.; Sojka, P.: Software framework for topic modelling with large corpora (2010)
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