Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Renée J. Miller"'
Autor:
Roee Shraga, Renée J. Miller
Publikováno v:
Proceedings of the VLDB Endowment. 16:1587-1600
In multi-user environments in which data science and analysis is collaborative, multiple versions of the same datasets are generated. While managing and storing data versions has received some attention in the research literature, the semantic nature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::482ce451e002c67daf266c0e3d47ee90
https://doi.org/10.14778/3583140.3583169
https://doi.org/10.14778/3583140.3583169
Publikováno v:
Proceedings of the VLDB Endowment. 16:932-945
We have made tremendous strides in providing tools for data scientists to discover new tables useful for their analyses. But despite these advances, the proper integration of discovered tables has been under-explored. An interesting semantics for int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::841854489e7e6e7c5e7a34eedceec157
https://doi.org/10.14778/3574245.3574274
https://doi.org/10.14778/3574245.3574274
Dataset discovery from data lakes is essential in many real application scenarios. In this paper, we propose Starmie, an end-to-end framework for dataset discovery from data lakes (with table union search as the main use case). Our proposed framework
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cb4db12af002442695d08539939b597
http://arxiv.org/abs/2210.01922
http://arxiv.org/abs/2210.01922
Autor:
Bahar Ghadiri Bashardoost, Ken Q. Pu, Aidan Sciortino, Paul Ouellette, Renée J. Miller, Erkang Zhu, Fatemeh Nargesian
Publikováno v:
Proceedings of the VLDB Endowment. 14:2863-2866
Dataset discovery can be performed using search (with a query or keywords) to find relevant data. However, the result of this discovery can be overwhelming to explore. Existing navigation techniques mostly focus on linkage graphs that enable navigati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c98b5dfb5d2dc9a29854bdde619e903
https://doi.org/10.14778/3476311.3476364
https://doi.org/10.14778/3476311.3476364
Publikováno v:
Proceedings of the VLDB Endowment. 13:2075-2089
CSV is a popular Open Data format widely used in a variety of domains for its simplicity and effectiveness in storing and disseminating data. Unfortunately, data published in this format often does not conform to strict specifications, making automat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b9b47e2bdf57d329806d00aa81e6b6d
https://doi.org/10.14778/3407790.3407810
https://doi.org/10.14778/3407790.3407810
Publikováno v:
Proceedings of the VLDB Endowment. 13:2018-2032
We introduce Kensho, a tool for generating mapping rules between two Knowledge Bases (KBs). To create the mapping rules, Kensho starts with a set of correspondences and enriches them with additional semantic information automatically identified from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b808dd770e88df1c8653e806ed66b41
https://doi.org/10.14778/3407790.3407806
https://doi.org/10.14778/3407790.3407806
Publikováno v:
Proceedings of the VLDB Endowment. 12:1986-1989
The ubiquity of data lakes has created fascinating new challenges for data management research. In this tutorial, we review the state-of-the-art in data management for data lakes. We consider how data lakes are introducing new problems including data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2dc911da66c5dbdccc86d874c4212e6
https://doi.org/10.14778/3352063.3352116
https://doi.org/10.14778/3352063.3352116
Publikováno v:
Proceedings of the VLDB Endowment. 12:1842-1845
We present VISE, or Vehicle Image Search Engine, to support the fast search of similar vehicles from low-resolution traffic camera images. VISE can be used to trace and locate vehicles for applications such as police investigations when high-resoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e428c6f8fd904efae3fa667ca33883b1
https://doi.org/10.14778/3352063.3352080
https://doi.org/10.14778/3352063.3352080
Publikováno v:
SOFSEM 2021: Theory and Practice of Computer Science ISBN: 9783030677305
SOFSEM
SOFSEM
We discuss our experience in bringing data exchange to knowledge graphs. This experience includes the development of Kensho, a tool for generating mapping rules and performing knowledge exchange between two Knowledge Bases (KBs). We highlight the cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dede6025ac044f5b0fe375eae189f8d
https://doi.org/10.1007/978-3-030-67731-2_2
https://doi.org/10.1007/978-3-030-67731-2_2
Publikováno v:
SIGMOD Conference
We consider the problem of creating an effective navigation structure over a data lake. We define an organization as a navigation graph that contains nodes representing sets of attributes within a data lake and edges indicating subset relationships a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6082b2a5bad7bf7ed399bd1e8825538f
https://doi.org/10.1145/3318464.3380605
https://doi.org/10.1145/3318464.3380605