Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Hannah Bast"'
This open access book surveys the progress in addressing selected challenges related to the growth of big data in combination with increasingly complicated hardware. It emerged from a research program established by the German Research Foundation (DF
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031282409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a46bb56ff7d954a4f37f8337820bac2
https://doi.org/10.1007/978-3-031-28241-6_33
https://doi.org/10.1007/978-3-031-28241-6_33
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b66e13f9af5895bcab141a7f33c083d
https://doi.org/10.1145/3511808.3557093
https://doi.org/10.1145/3511808.3557093
Autor:
Nazli Goharian, Hannah Bast
Publikováno v:
ACM SIGIR Forum. 55:1-3
The SIGIR'21 Women in IR event 1 , co-organized by SIGIR WIR co-chairs, Nazli Goharian (US East Coast) and Hannah Bast (Central Europe), took place on July 13-14 and was attended by ~70 participants. Due to Covid-19, SIGIR'21 was held online. To acco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0691bb7406bb37a6fef045eced69e6a1
https://doi.org/10.1145/3527546.3527558
https://doi.org/10.1145/3527546.3527558
Publikováno v:
Computer Graphics Forum. 39:357-367
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d77c14457cc73f7b623754895ccdb48c
https://doi.org/10.1111/cgf.13986
https://doi.org/10.1111/cgf.13986
Publikováno v:
SIGSPATIAL/GIS
We present osm2rdf, a tool for converting OpenStreetMap (OSM) data to RDF triples, along with an efficient SPARQL endpoint and a convenient user interface for formulating SPARQL queries on that data. Unlike previous tools, osm2rdf retains all data pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88e7035080111308ff3de59e75e51d01
https://doi.org/10.1145/3474717.3484256
https://doi.org/10.1145/3474717.3484256
Publikováno v:
SSTD
We present new generic methods to efficiently draw schematized metro maps for a wide variety of layouts, including octilinear, hexalinear, and orthoradial maps. The maps are drawn by mapping the input graph to a suitable grid graph. Previous work was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f8a6dce3a859cb6cfd6ee3b7b8fd6fb
https://doi.org/10.1145/3469830.3470899
https://doi.org/10.1145/3469830.3470899
Autor:
Hannah Bast, Sabine Storandt
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 4:205-206
Timetable information in public transportation networks exhibit a large degree of redundancy; e.g. consider a bus going from station A to station B at 6:00, 6:15, 6:30, 6:45, 7:00, 7:15, 7:30, . . . , 20:00, the very same data can be provided by a fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cffbccbc432cdb6786387db7ce4822b6
https://doi.org/10.1609/socs.v4i1.18302
https://doi.org/10.1609/socs.v4i1.18302
We consider the following tokenization repair problem: Given a natural language text with any combination of missing or spurious spaces, correct these. Spelling errors can be present, but it's not part of the problem to correct them. For example, giv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1c2b6dc16e093c7795caac9a59f800c
http://arxiv.org/abs/2010.07878
http://arxiv.org/abs/2010.07878
Publikováno v:
KI - Künstliche Intelligenz. 32:19-26
We provide a quality evaluation of KB+Text search, a deep integration of knowledge base search and standard full-text search. A knowledge base (KB) is a set of subject–predicate–object triples with a common naming scheme. The standard query langu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3b3f65fa5643a659a88bca229a28b4c
https://doi.org/10.1007/s13218-017-0513-9
https://doi.org/10.1007/s13218-017-0513-9