U.S.-Germany Cooperative Research: Efficient Algorithms for Spatial Databases--Bridging the Gap Between Theory and Practice View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2002-2005

FUNDING AMOUNT

18976 USD

ABSTRACT

0129182 Arge This award supports Lars Arge and graduate students from Duke University in a collaboration with Jan Vahrenhold of the Department of Computer Science at the University of Muenster. The project will focus on bridging the gap between theory and practice of spatial database algorithms research, where there still exists a large gap between theory and practice in algorithms for massive spatial databases. Often, theoretically efficient algorithms are too complicated to be of practical use, while theoretically inefficient algorithms often perform well on most real-life data sets. Theoretical developments, however, have also led to tremendous runtime improvements. Because spatial databases, especially geographic information systems, have emerged as extremely powerful management and analysis tools in science and engineering, this work is likely to lead to new algorithms that will benefit scientists, engineers, and other spatial database users. The collaboration supported here will bring together experimentalists and theorists in a way that will significantly advance the field of nuclear fission. More... »

URL

http://www.nsf.gov/awardsearch/showAward?AWD_ID=0129182&HistoricalAwards=false

Related SciGraph Publications

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2208", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2208", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "amount": {
      "currency": "USD", 
      "type": "MonetaryAmount", 
      "value": "18976"
    }, 
    "description": "0129182 Arge This award supports Lars Arge and graduate students from Duke University in a collaboration with Jan Vahrenhold of the Department of Computer Science at the University of Muenster. The project will focus on bridging the gap between theory and practice of spatial database algorithms research, where there still exists a large gap between theory and practice in algorithms for massive spatial databases. Often, theoretically efficient algorithms are too complicated to be of practical use, while theoretically inefficient algorithms often perform well on most real-life data sets. Theoretical developments, however, have also led to tremendous runtime improvements. Because spatial databases, especially geographic information systems, have emerged as extremely powerful management and analysis tools in science and engineering, this work is likely to lead to new algorithms that will benefit scientists, engineers, and other spatial database users. The collaboration supported here will bring together experimentalists and theorists in a way that will significantly advance the field of nuclear fission.", 
    "endDate": "2005-03-31T00:00:00Z", 
    "funder": {
      "id": "https://www.grid.ac/institutes/grid.457898.f", 
      "type": "Organization"
    }, 
    "id": "sg:grant.3022752", 
    "identifier": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "3022752"
        ]
      }, 
      {
        "name": "nsf_id", 
        "type": "PropertyValue", 
        "value": [
          "0129182"
        ]
      }
    ], 
    "inLanguage": [
      "en"
    ], 
    "keywords": [
      "inefficient algorithm", 
      "Jan Vahrenhold", 
      "Lars Arge", 
      "University", 
      "practice", 
      "theoretical development", 
      "large gap", 
      "graduate students", 
      "Department", 
      "geographic information system", 
      "efficient algorithms", 
      "spatial database algorithms research", 
      "scientists", 
      "nuclear fission", 
      "practical use", 
      "Germany Cooperative Research", 
      "gap", 
      "science", 
      "theory", 
      "most real-life data sets", 
      "field", 
      "spatial database", 
      "tremendous runtime improvements", 
      "computer science", 
      "argE", 
      "Duke University", 
      "U.S", 
      "collaboration", 
      "project", 
      "engineers", 
      "algorithms", 
      "new algorithms", 
      "massive spatial databases", 
      "analysis tools", 
      "other spatial database users", 
      "Muenster", 
      "powerful management", 
      "engineering", 
      "award", 
      "work", 
      "way", 
      "theorists", 
      "experimentalists"
    ], 
    "name": "U.S.-Germany Cooperative Research: Efficient Algorithms for Spatial Databases--Bridging the Gap Between Theory and Practice", 
    "recipient": [
      {
        "id": "https://www.grid.ac/institutes/grid.26009.3d", 
        "type": "Organization"
      }, 
      {
        "affiliation": {
          "id": "https://www.grid.ac/institutes/grid.26009.3d", 
          "name": "Duke University", 
          "type": "Organization"
        }, 
        "familyName": "Arge", 
        "givenName": "Lars", 
        "id": "sg:person.010251111315.42", 
        "type": "Person"
      }, 
      {
        "member": "sg:person.010251111315.42", 
        "roleName": "PI", 
        "type": "Role"
      }
    ], 
    "sameAs": [
      "https://app.dimensions.ai/details/grant/grant.3022752"
    ], 
    "sdDataset": "grants", 
    "sdDatePublished": "2021-01-19T03:25", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com.uberresearch.data.processor/core_data/20181219_192338/projects/base/nsf_projects.xml.gz", 
    "startDate": "2002-04-01T00:00:00Z", 
    "type": "MonetaryGrant", 
    "url": "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0129182&HistoricalAwards=false"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/grant.3022752'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/grant.3022752'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/grant.3022752'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/grant.3022752'


 

This table displays all metadata directly associated to this object as RDF triples.

87 TRIPLES      19 PREDICATES      65 URIs      57 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:grant.3022752 schema:about anzsrc-for:2208
2 schema:amount N636924a8208c4e198152aaa9af7194ce
3 schema:description 0129182 Arge This award supports Lars Arge and graduate students from Duke University in a collaboration with Jan Vahrenhold of the Department of Computer Science at the University of Muenster. The project will focus on bridging the gap between theory and practice of spatial database algorithms research, where there still exists a large gap between theory and practice in algorithms for massive spatial databases. Often, theoretically efficient algorithms are too complicated to be of practical use, while theoretically inefficient algorithms often perform well on most real-life data sets. Theoretical developments, however, have also led to tremendous runtime improvements. Because spatial databases, especially geographic information systems, have emerged as extremely powerful management and analysis tools in science and engineering, this work is likely to lead to new algorithms that will benefit scientists, engineers, and other spatial database users. The collaboration supported here will bring together experimentalists and theorists in a way that will significantly advance the field of nuclear fission.
4 schema:endDate 2005-03-31T00:00:00Z
5 schema:funder https://www.grid.ac/institutes/grid.457898.f
6 schema:identifier Naea515c12f8c42528cd585cbd79e3834
7 Ne3262a21dbe0402e950401cc9dcb0013
8 schema:inLanguage en
9 schema:keywords Department
10 Duke University
11 Germany Cooperative Research
12 Jan Vahrenhold
13 Lars Arge
14 Muenster
15 U.S
16 University
17 algorithms
18 analysis tools
19 argE
20 award
21 collaboration
22 computer science
23 efficient algorithms
24 engineering
25 engineers
26 experimentalists
27 field
28 gap
29 geographic information system
30 graduate students
31 inefficient algorithm
32 large gap
33 massive spatial databases
34 most real-life data sets
35 new algorithms
36 nuclear fission
37 other spatial database users
38 powerful management
39 practical use
40 practice
41 project
42 science
43 scientists
44 spatial database
45 spatial database algorithms research
46 theoretical development
47 theorists
48 theory
49 tremendous runtime improvements
50 way
51 work
52 schema:name U.S.-Germany Cooperative Research: Efficient Algorithms for Spatial Databases--Bridging the Gap Between Theory and Practice
53 schema:recipient N6207e42f7c0d44df840da08c663540ef
54 sg:person.010251111315.42
55 https://www.grid.ac/institutes/grid.26009.3d
56 schema:sameAs https://app.dimensions.ai/details/grant/grant.3022752
57 schema:sdDatePublished 2021-01-19T03:25
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher Nc1f0caf40cb24d44bb59363aa8e3092e
60 schema:startDate 2002-04-01T00:00:00Z
61 schema:url http://www.nsf.gov/awardsearch/showAward?AWD_ID=0129182&HistoricalAwards=false
62 sgo:license sg:explorer/license/
63 sgo:sdDataset grants
64 rdf:type schema:MonetaryGrant
65 N6207e42f7c0d44df840da08c663540ef schema:member sg:person.010251111315.42
66 schema:roleName PI
67 rdf:type schema:Role
68 N636924a8208c4e198152aaa9af7194ce schema:currency USD
69 schema:value 18976
70 rdf:type schema:MonetaryAmount
71 Naea515c12f8c42528cd585cbd79e3834 schema:name nsf_id
72 schema:value 0129182
73 rdf:type schema:PropertyValue
74 Nc1f0caf40cb24d44bb59363aa8e3092e schema:name Springer Nature - SN SciGraph project
75 rdf:type schema:Organization
76 Ne3262a21dbe0402e950401cc9dcb0013 schema:name dimensions_id
77 schema:value 3022752
78 rdf:type schema:PropertyValue
79 anzsrc-for:2208 schema:inDefinedTermSet anzsrc-for:
80 rdf:type schema:DefinedTerm
81 sg:person.010251111315.42 schema:affiliation https://www.grid.ac/institutes/grid.26009.3d
82 schema:familyName Arge
83 schema:givenName Lars
84 rdf:type schema:Person
85 https://www.grid.ac/institutes/grid.26009.3d schema:name Duke University
86 rdf:type schema:Organization
87 https://www.grid.ac/institutes/grid.457898.f schema:Organization
 




Preview window. Press ESC to close (or click here)


...