Generating improved belief networks


Ontology type: sgo:Patent     


Patent Info

DATE

1998-09-01T00:00

AUTHORS

David E. Heckerman , Dan Geiger , David M. Chickering

ABSTRACT

An improved belief network generator is provided. A belief network is generated utilizing expert knowledge retrieved from an expert in a given field of expertise and empirical data reflecting observations made in the given field of the expert. In addition to utilizing expert knowledge and empirical data, the belief network generator provides for the use of continuous variables in the generated belief network and missing data in the empirical data. More... »

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/2008/2746", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "name": "David E. Heckerman", 
        "type": "Person"
      }, 
      {
        "name": "Dan Geiger", 
        "type": "Person"
      }, 
      {
        "name": "David M. Chickering", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00994110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046316965", 
          "https://doi.org/10.1007/bf00994110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/ip-i-2.1993.0008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056855628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/34.204903", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061155783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/49.257935", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061176920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/64.295137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061205010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/ss/1177010888", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064409646"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1998-09-01T00:00", 
    "description": "

An improved belief network generator is provided. A belief network is generated utilizing expert knowledge retrieved from an expert in a given field of expertise and empirical data reflecting observations made in the given field of the expert. In addition to utilizing expert knowledge and empirical data, the belief network generator provides for the use of continuous variables in the generated belief network and missing data in the empirical data.

", "id": "sg:patent.US-5802256-A", "keywords": [ "belief network", "expert knowledge", "expert", "given field", "expertise", "empirical data", "observation", "continuous variable" ], "name": "Generating improved belief networks", "recipient": [ { "id": "https://www.grid.ac/institutes/grid.419815.0", "type": "Organization" } ], "sameAs": [ "https://app.dimensions.ai/details/patent/US-5802256-A" ], "sdDataset": "patents", "sdDatePublished": "2019-04-18T10:26", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com-uberresearch-data-patents-target-20190320-rc/data/sn-export/402f166718b70575fb5d4ffe01f064d1/0000100128-0000352499/json_export_03046.jsonl", "type": "Patent" } ]
 

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/patent.US-5802256-A'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.US-5802256-A'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-5802256-A'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-5802256-A'


 

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

57 TRIPLES      15 PREDICATES      28 URIs      16 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-5802256-A schema:about anzsrc-for:2746
2 schema:author Neb04585e745c496588f2902e4bf40969
3 schema:citation sg:pub.10.1007/bf00994110
4 https://doi.org/10.1049/ip-i-2.1993.0008
5 https://doi.org/10.1109/34.204903
6 https://doi.org/10.1109/49.257935
7 https://doi.org/10.1109/64.295137
8 https://doi.org/10.1214/ss/1177010888
9 schema:datePublished 1998-09-01T00:00
10 schema:description <p>An improved belief network generator is provided. A belief network is generated utilizing expert knowledge retrieved from an expert in a given field of expertise and empirical data reflecting observations made in the given field of the expert. In addition to utilizing expert knowledge and empirical data, the belief network generator provides for the use of continuous variables in the generated belief network and missing data in the empirical data.</p>
11 schema:keywords belief network
12 continuous variable
13 empirical data
14 expert
15 expert knowledge
16 expertise
17 given field
18 observation
19 schema:name Generating improved belief networks
20 schema:recipient https://www.grid.ac/institutes/grid.419815.0
21 schema:sameAs https://app.dimensions.ai/details/patent/US-5802256-A
22 schema:sdDatePublished 2019-04-18T10:26
23 schema:sdLicense https://scigraph.springernature.com/explorer/license/
24 schema:sdPublisher N9a3da4061c544603bcf443fb8a6d5e89
25 sgo:license sg:explorer/license/
26 sgo:sdDataset patents
27 rdf:type sgo:Patent
28 N1d59f556941e43c88a04e1799a810111 schema:name David E. Heckerman
29 rdf:type schema:Person
30 N3b3c9cf8e7c942f2957ab2cfc9b733bd schema:name Dan Geiger
31 rdf:type schema:Person
32 N56c961578b2e4a6cbd4c50de6993f47a schema:name David M. Chickering
33 rdf:type schema:Person
34 N7bca5a6e725e4e4cba78b46c45e5e172 rdf:first N56c961578b2e4a6cbd4c50de6993f47a
35 rdf:rest rdf:nil
36 N9a3da4061c544603bcf443fb8a6d5e89 schema:name Springer Nature - SN SciGraph project
37 rdf:type schema:Organization
38 Ne42177d5a8984a05bc08bb8fbd15e801 rdf:first N3b3c9cf8e7c942f2957ab2cfc9b733bd
39 rdf:rest N7bca5a6e725e4e4cba78b46c45e5e172
40 Neb04585e745c496588f2902e4bf40969 rdf:first N1d59f556941e43c88a04e1799a810111
41 rdf:rest Ne42177d5a8984a05bc08bb8fbd15e801
42 anzsrc-for:2746 schema:inDefinedTermSet anzsrc-for:
43 rdf:type schema:DefinedTerm
44 sg:pub.10.1007/bf00994110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046316965
45 https://doi.org/10.1007/bf00994110
46 rdf:type schema:CreativeWork
47 https://doi.org/10.1049/ip-i-2.1993.0008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056855628
48 rdf:type schema:CreativeWork
49 https://doi.org/10.1109/34.204903 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061155783
50 rdf:type schema:CreativeWork
51 https://doi.org/10.1109/49.257935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061176920
52 rdf:type schema:CreativeWork
53 https://doi.org/10.1109/64.295137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061205010
54 rdf:type schema:CreativeWork
55 https://doi.org/10.1214/ss/1177010888 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064409646
56 rdf:type schema:CreativeWork
57 https://www.grid.ac/institutes/grid.419815.0 schema:Organization
 




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


...