| 2 |
Automatic music analysis and "Musée de l'Homme" sound archives ; L'analyse automatique de la musique et les archives sonores du "Musée de l'Homme"
|
|
|
|
In: Analytical Approaches To World Music 2020-2021 ; https://halshs.archives-ouvertes.fr/halshs-03472999 ; Analytical Approaches To World Music 2020-2021, Jun 2021, Paris, France. 2021 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Automatic music analysis and "Musée de l'Homme" sound archives ; L'analyse automatique de la musique et les archives sonores du "Musée de l'Homme"
|
|
|
|
In: Analytical Approaches To World Music ; https://halshs.archives-ouvertes.fr/halshs-03472999 ; Analytical Approaches To World Music, Jun 2021, Paris, France. 2021 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
ANNIS: A graph-based query system for deeply annotated text corpora ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 12 |
ANNIS: A graph-based query system for deeply annotated text corpora
|
|
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Query Flattening and the Nested Data Parallelism Paradigm ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 14 |
AMEND: open source and data-driven oversight of water quality in New England
|
|
|
|
In: Media and Communication ; 7 ; 3 ; 91-103 ; civic organizations in an age of distrust (2019)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
The Manifesto Corpus: a new resource for research on political parties and quantitative text analysis
|
|
|
|
In: Research and Politics ; 3 ; 2 ; 1-8 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Wörterbücher zur Sprach- und Kommunikationswissenschaft (WSK) Online
|
|
|
|
BASE
|
|
Show details
|
|
|
| 17 |
On the way to the problem of "Semantic Web – Data Base" ; На пути к решению проблемы "Semantic Web – Data Base" ; На шляху до вирішення проблеми "Semantic Web – Data Base"
|
|
|
|
In: Системні дослідження та інформаційні технології; № 2 (2019); 115-140 ; Системные исследования и информационные технологии; № 2 (2019); 115-140 ; System research and information technologies; № 2 (2019); 115-140 ; 2308-8893 ; 1681-6048 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Query Flattening and the Nested Data Parallelism Paradigm
|
|
|
|
Abstract:
This work is based on the observation that languages for two seemingly distant domains are closely related. Orthogonal query languages based on comprehension syntax admit various forms of query nesting to construct nested query results and express complex predicates. Languages for nested data parallelism allow to nest parallel iterators and thereby admit the parallel evaluation of computations that are themselves parallel. Both kinds of languages center around the application of side-effect-free functions to each element of a collection. The motivation for this work is the seamless integration of relational database queries with programming languages. In frameworks for language-integrated database queries, a host language's native collection-programming API is used to express queries. To mediate between native collection programming and relational queries, we define an expressive, orthogonal query calculus that supports nesting and order. The challenge of query flattening is to translate this calculus to bundles of efficient relational queries restricted to flat, unordered multisets. Prior approaches to query flattening either support only query languages that lack in expressiveness or employ a complex, monolithic translation that is hard to comprehend and generates inefficient code that is hard to optimize. To improve on those approaches, we draw on the similarity to nested data parallelism. Blelloch's flattening transformation is a static program transformation that translates nested data parallelism to flat data parallel programs over flat arrays. Based on the flattening transformation, we describe a pipeline of small, comprehensible lowering steps that translates our nested query calculus to a bundle of relational queries. The pipeline is based on a number of well-defined intermediate languages. Our translation adopts the key concepts of the flattening transformation but is designed with specifics of relational query processing in mind. Based on this translation, we revisit all aspects of query flattening. Our translation is fully compositional and can translate any term of the input language. Like prior work, the translation by itself produces inefficient code due to compositionality that is not fit for execution without optimization. In contrast to prior work, we show that query optimization is orthogonal to flattening and can be performed before flattening. We employ well-known work on logical query optimization for nested query languages and demonstrate that this body of work integrates well with our approach. Furthermore, we describe an improved encoding of ordered and nested collections in terms of flat, unordered multisets. Our approach emits idiomatic relational queries in which the effort required to maintain the non-relational semantics of the source language (order and nesting) is minimized. A set of experiments provides evidence that our approach to query flattening can handle complex, list-based queries with nested results and nested intermediate data well. We apply our approach to a number of flat and nested benchmark queries and compare their runtime with hand-written SQL queries. In these experiments, our SQL code generated from a list-based nested query language usually performs as well as hand-written queries.
|
|
Keyword:
004; Abfragesprache; Abfrageverarbeitung; Datenbank; Datenbanksprache; flattening transformation; HASKELL; LINQ; NESL; Parallelverarbeitung; Programmiersprache; query optimization; query unnesting; SQL
|
|
URL: https://doi.org/10.15496/publikation-29084
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-876988
http://hdl.handle.net/10900/87698
|
|
BASE
|
|
Hide details
|
|
|
| 19 |
A Frame-semantic Approach to Co-occurrence Patterns: A Lexicographic Study of English and Greek Motion Verbs
|
|
|
|
In: International Journal of Lexicography 31 (2018) 4, 420-451
|
|
IDS OBELEX meta
|
|
Show details
|
|
|
| 20 |
Corpus-driven Bantu Lexicography Part 1: Organic Corpus Building for Lusoga
|
|
|
|
In: Lexikos. Journal of the African Association for Lexicography 28 (2018), 32-78
|
|
IDS OBELEX meta
|
|
Show details
|
|
|
|
|
