From Data Reverence to Data Relevance: Model-Mediated Wireless Sensing of the Physical Environment View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2007

AUTHORS

Paul G. Flikkema , Pankaj K. Agarwal , James S. Clark , Carla Ellis , Alan Gelfand , Kamesh Munagala , Jun Yang

ABSTRACT

Wireless sensor networks can be viewed as the integration of three subsystems: a low-impact in situ data acquisition and collection system, a system for inference of process models from observed data and a priori information, and a system that controls the observation and collection. Each of these systems is connected by feedforward and feedback signals from the others; moreover, each subsystem is formed from behavioral components that are distributed among the sensors and out-of-network computational resources. Crucially, the overall performance of the system is constrained by the costs of energy, time, and computational complexity. We are addressing these design issues in the context of monitoring forest environments with the objective of inferring ecosystem process models. We describe here our framework of treating data and models jointly, and its application to soil moisture processes. More... »

PAGES

988-994

References to SciGraph publications

Book

TITLE

Computational Science – ICCS 2007

ISBN

978-3-540-72583-1
978-3-540-72584-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-72584-8_130

DOI

http://dx.doi.org/10.1007/978-3-540-72584-8_130

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036429311


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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/2008/0907", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Northern Arizona University", 
          "id": "https://www.grid.ac/institutes/grid.261120.6", 
          "name": [
            "Northern Arizona University, Flagstaff AZ 86001, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Flikkema", 
        "givenName": "Paul G.", 
        "id": "sg:person.01031573420.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031573420.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Duke University", 
          "id": "https://www.grid.ac/institutes/grid.26009.3d", 
          "name": [
            "Duke University, Durham, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Agarwal", 
        "givenName": "Pankaj K.", 
        "id": "sg:person.01346666674.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346666674.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Duke University", 
          "id": "https://www.grid.ac/institutes/grid.26009.3d", 
          "name": [
            "Duke University, Durham, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Clark", 
        "givenName": "James S.", 
        "id": "sg:person.01313532636.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313532636.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Duke University", 
          "id": "https://www.grid.ac/institutes/grid.26009.3d", 
          "name": [
            "Duke University, Durham, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ellis", 
        "givenName": "Carla", 
        "id": "sg:person.016436442056.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016436442056.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Duke University", 
          "id": "https://www.grid.ac/institutes/grid.26009.3d", 
          "name": [
            "Duke University, Durham, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gelfand", 
        "givenName": "Alan", 
        "id": "sg:person.01021513000.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021513000.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Duke University", 
          "id": "https://www.grid.ac/institutes/grid.26009.3d", 
          "name": [
            "Duke University, Durham, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Munagala", 
        "givenName": "Kamesh", 
        "id": "sg:person.010775633307.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010775633307.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Duke University", 
          "id": "https://www.grid.ac/institutes/grid.26009.3d", 
          "name": [
            "Duke University, Durham, NC, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Jun", 
        "id": "sg:person.014351266307.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014351266307.55"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1461-0248.2004.00702.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038252910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11758532_55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049957461", 
          "https://doi.org/10.1007/11758532_55"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11758532_55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049957461", 
          "https://doi.org/10.1007/11758532_55"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/iscc.2006.161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095321716"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007", 
    "datePublishedReg": "2007-01-01", 
    "description": "Wireless sensor networks can be viewed as the integration of three subsystems: a low-impact in situ data acquisition and collection system, a system for inference of process models from observed data and a priori information, and a system that controls the observation and collection. Each of these systems is connected by feedforward and feedback signals from the others; moreover, each subsystem is formed from behavioral components that are distributed among the sensors and out-of-network computational resources. Crucially, the overall performance of the system is constrained by the costs of energy, time, and computational complexity. We are addressing these design issues in the context of monitoring forest environments with the objective of inferring ecosystem process models. We describe here our framework of treating data and models jointly, and its application to soil moisture processes.", 
    "editor": [
      {
        "familyName": "Shi", 
        "givenName": "Yong", 
        "type": "Person"
      }, 
      {
        "familyName": "van Albada", 
        "givenName": "Geert Dick", 
        "type": "Person"
      }, 
      {
        "familyName": "Dongarra", 
        "givenName": "Jack", 
        "type": "Person"
      }, 
      {
        "familyName": "Sloot", 
        "givenName": "Peter M. A.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-540-72584-8_130", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-540-72583-1", 
        "978-3-540-72584-8"
      ], 
      "name": "Computational Science \u2013 ICCS 2007", 
      "type": "Book"
    }, 
    "name": "From Data Reverence to Data Relevance: Model-Mediated Wireless Sensing of the Physical Environment", 
    "pagination": "988-994", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-540-72584-8_130"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ad892918109652e18bf6a47c6b6b6598484a1761e21ef95aa20698cde99dd035"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036429311"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-540-72584-8_130", 
      "https://app.dimensions.ai/details/publication/pub.1036429311"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T12:33", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8663_00000265.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-540-72584-8_130"
  }
]
 

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/pub.10.1007/978-3-540-72584-8_130'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72584-8_130'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72584-8_130'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-72584-8_130'


 

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

135 TRIPLES      23 PREDICATES      30 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-540-72584-8_130 schema:about anzsrc-for:09
2 anzsrc-for:0907
3 schema:author N5def5aa94ae240cd99c2049cf5f7e2b3
4 schema:citation sg:pub.10.1007/11758532_55
5 https://doi.org/10.1109/iscc.2006.161
6 https://doi.org/10.1111/j.1461-0248.2004.00702.x
7 schema:datePublished 2007
8 schema:datePublishedReg 2007-01-01
9 schema:description Wireless sensor networks can be viewed as the integration of three subsystems: a low-impact in situ data acquisition and collection system, a system for inference of process models from observed data and a priori information, and a system that controls the observation and collection. Each of these systems is connected by feedforward and feedback signals from the others; moreover, each subsystem is formed from behavioral components that are distributed among the sensors and out-of-network computational resources. Crucially, the overall performance of the system is constrained by the costs of energy, time, and computational complexity. We are addressing these design issues in the context of monitoring forest environments with the objective of inferring ecosystem process models. We describe here our framework of treating data and models jointly, and its application to soil moisture processes.
10 schema:editor N99c81d3bfb0f4aaf90ee539503063e4c
11 schema:genre chapter
12 schema:inLanguage en
13 schema:isAccessibleForFree true
14 schema:isPartOf Nb37915fa498e4320badc78647a5ef7b4
15 schema:name From Data Reverence to Data Relevance: Model-Mediated Wireless Sensing of the Physical Environment
16 schema:pagination 988-994
17 schema:productId N07e535bff645443b9e19982964300d37
18 Nb5d5e5a958b0452c927e160dbf1d2871
19 Nf896917a1a45436dace7750aca0e97fc
20 schema:publisher N5a583d30af234445a6c438bd7d4b05d2
21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036429311
22 https://doi.org/10.1007/978-3-540-72584-8_130
23 schema:sdDatePublished 2019-04-15T12:33
24 schema:sdLicense https://scigraph.springernature.com/explorer/license/
25 schema:sdPublisher N49ccd5030d0d463d8a5aaa47c54788e8
26 schema:url http://link.springer.com/10.1007/978-3-540-72584-8_130
27 sgo:license sg:explorer/license/
28 sgo:sdDataset chapters
29 rdf:type schema:Chapter
30 N07e535bff645443b9e19982964300d37 schema:name readcube_id
31 schema:value ad892918109652e18bf6a47c6b6b6598484a1761e21ef95aa20698cde99dd035
32 rdf:type schema:PropertyValue
33 N1d93a48948ea49c38038794f358a7162 rdf:first N6102570b7a1d49b292d87539387a46e6
34 rdf:rest rdf:nil
35 N2359b9ed461640beb0adc5e1e3307559 rdf:first sg:person.014351266307.55
36 rdf:rest rdf:nil
37 N33909d81e11f4ec5b517c75f49872140 rdf:first sg:person.01021513000.92
38 rdf:rest N690a2895bb51476d9cd6eb056abaa230
39 N49ccd5030d0d463d8a5aaa47c54788e8 schema:name Springer Nature - SN SciGraph project
40 rdf:type schema:Organization
41 N4ee73cd1a9e942568a71caf6a3860a9c schema:familyName van Albada
42 schema:givenName Geert Dick
43 rdf:type schema:Person
44 N5189677c90dd4e008a95f42503ed6e9b rdf:first sg:person.01313532636.34
45 rdf:rest Nbe7d5ef8982d479db229842467730649
46 N55b5c8d9d6b84325995bd691b2d68502 rdf:first Na33342693de244a1964124eef3eff437
47 rdf:rest N1d93a48948ea49c38038794f358a7162
48 N5a583d30af234445a6c438bd7d4b05d2 schema:location Berlin, Heidelberg
49 schema:name Springer Berlin Heidelberg
50 rdf:type schema:Organisation
51 N5def5aa94ae240cd99c2049cf5f7e2b3 rdf:first sg:person.01031573420.04
52 rdf:rest Na08e4214b90843b1809fae3a491afb36
53 N6102570b7a1d49b292d87539387a46e6 schema:familyName Sloot
54 schema:givenName Peter M. A.
55 rdf:type schema:Person
56 N690a2895bb51476d9cd6eb056abaa230 rdf:first sg:person.010775633307.36
57 rdf:rest N2359b9ed461640beb0adc5e1e3307559
58 N99c81d3bfb0f4aaf90ee539503063e4c rdf:first Na9c0b5a40bb54af39585181198096884
59 rdf:rest Nf91f4b1a19624e4cb3078c11335250f6
60 Na08e4214b90843b1809fae3a491afb36 rdf:first sg:person.01346666674.21
61 rdf:rest N5189677c90dd4e008a95f42503ed6e9b
62 Na33342693de244a1964124eef3eff437 schema:familyName Dongarra
63 schema:givenName Jack
64 rdf:type schema:Person
65 Na9c0b5a40bb54af39585181198096884 schema:familyName Shi
66 schema:givenName Yong
67 rdf:type schema:Person
68 Nb37915fa498e4320badc78647a5ef7b4 schema:isbn 978-3-540-72583-1
69 978-3-540-72584-8
70 schema:name Computational Science – ICCS 2007
71 rdf:type schema:Book
72 Nb5d5e5a958b0452c927e160dbf1d2871 schema:name doi
73 schema:value 10.1007/978-3-540-72584-8_130
74 rdf:type schema:PropertyValue
75 Nbe7d5ef8982d479db229842467730649 rdf:first sg:person.016436442056.42
76 rdf:rest N33909d81e11f4ec5b517c75f49872140
77 Nf896917a1a45436dace7750aca0e97fc schema:name dimensions_id
78 schema:value pub.1036429311
79 rdf:type schema:PropertyValue
80 Nf91f4b1a19624e4cb3078c11335250f6 rdf:first N4ee73cd1a9e942568a71caf6a3860a9c
81 rdf:rest N55b5c8d9d6b84325995bd691b2d68502
82 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
83 schema:name Engineering
84 rdf:type schema:DefinedTerm
85 anzsrc-for:0907 schema:inDefinedTermSet anzsrc-for:
86 schema:name Environmental Engineering
87 rdf:type schema:DefinedTerm
88 sg:person.01021513000.92 schema:affiliation https://www.grid.ac/institutes/grid.26009.3d
89 schema:familyName Gelfand
90 schema:givenName Alan
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021513000.92
92 rdf:type schema:Person
93 sg:person.01031573420.04 schema:affiliation https://www.grid.ac/institutes/grid.261120.6
94 schema:familyName Flikkema
95 schema:givenName Paul G.
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031573420.04
97 rdf:type schema:Person
98 sg:person.010775633307.36 schema:affiliation https://www.grid.ac/institutes/grid.26009.3d
99 schema:familyName Munagala
100 schema:givenName Kamesh
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010775633307.36
102 rdf:type schema:Person
103 sg:person.01313532636.34 schema:affiliation https://www.grid.ac/institutes/grid.26009.3d
104 schema:familyName Clark
105 schema:givenName James S.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313532636.34
107 rdf:type schema:Person
108 sg:person.01346666674.21 schema:affiliation https://www.grid.ac/institutes/grid.26009.3d
109 schema:familyName Agarwal
110 schema:givenName Pankaj K.
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346666674.21
112 rdf:type schema:Person
113 sg:person.014351266307.55 schema:affiliation https://www.grid.ac/institutes/grid.26009.3d
114 schema:familyName Yang
115 schema:givenName Jun
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014351266307.55
117 rdf:type schema:Person
118 sg:person.016436442056.42 schema:affiliation https://www.grid.ac/institutes/grid.26009.3d
119 schema:familyName Ellis
120 schema:givenName Carla
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016436442056.42
122 rdf:type schema:Person
123 sg:pub.10.1007/11758532_55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049957461
124 https://doi.org/10.1007/11758532_55
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1109/iscc.2006.161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095321716
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1111/j.1461-0248.2004.00702.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1038252910
129 rdf:type schema:CreativeWork
130 https://www.grid.ac/institutes/grid.26009.3d schema:alternateName Duke University
131 schema:name Duke University, Durham, NC, USA
132 rdf:type schema:Organization
133 https://www.grid.ac/institutes/grid.261120.6 schema:alternateName Northern Arizona University
134 schema:name Northern Arizona University, Flagstaff AZ 86001, USA
135 rdf:type schema:Organization
 




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


...