GRUVe: A Methodology for Complex Event Pattern Life Cycle Management View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2010

AUTHORS

Sinan Sen , Nenad Stojanovic

ABSTRACT

With the rising importance of recognizing a complex situation of interest near real-time, many industrial applications have adopted Complex Event Processing as their backbone. In order to remain useful it is important that a Complex Event Processing system evolves according to the changes in its business environment. However, today’s management tasks in a Complex Event Processing system related to the management of complex event patterns are performed purely manually without any systematic methodology. This can be time consuming and error-prone.In this paper we present a methodology and an implementation for the complex event pattern life cycle management. The overall goal is the efficient generation, maintenance and evolution of complex event patterns. Our approach is based on a semantic representation of events and complex event patterns combined with complex event pattern execution statistics. This representation enables an improved definition of relationships between patterns using semantic descriptions of patterns and events. More... »

PAGES

209-223

Book

TITLE

Active Flow and Combustion Control 2018

ISBN

978-3-642-13093-9
978-3-642-13094-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-13094-6_17

DOI

http://dx.doi.org/10.1007/978-3-642-13094-6_17

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003706656


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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "FZI Research Center for Information Technology, Haid-und-Neu-Stra\u00dfe 10-14, 76131, Karlsruhe, Germany", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "FZI Research Center for Information Technology, Haid-und-Neu-Stra\u00dfe 10-14, 76131, Karlsruhe, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sen", 
        "givenName": "Sinan", 
        "id": "sg:person.016602204374.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016602204374.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "FZI Research Center for Information Technology, Haid-und-Neu-Stra\u00dfe 10-14, 76131, Karlsruhe, Germany", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "FZI Research Center for Information Technology, Haid-und-Neu-Stra\u00dfe 10-14, 76131, Karlsruhe, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stojanovic", 
        "givenName": "Nenad", 
        "id": "sg:person.011564632227.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011564632227.91"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2010", 
    "datePublishedReg": "2010-01-01", 
    "description": "With the rising importance of recognizing a complex situation of interest near real-time, many industrial applications have adopted Complex Event Processing as their backbone. In order to remain useful it is important that a Complex Event Processing system evolves according to the changes in its business environment. However, today\u2019s management tasks in a Complex Event Processing system related to the management of complex event patterns are performed purely manually without any systematic methodology. This can be time consuming and error-prone.In this paper we present a methodology and an implementation for the complex event pattern life cycle management. The overall goal is the efficient generation, maintenance and evolution of complex event patterns. Our approach is based on a semantic representation of events and complex event patterns combined with complex event pattern execution statistics. This representation enables an improved definition of relationships between patterns using semantic descriptions of patterns and events.", 
    "editor": [
      {
        "familyName": "King", 
        "givenName": "Rudibert", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-13094-6_17", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-642-13093-9", 
        "978-3-642-13094-6"
      ], 
      "name": "Active Flow and Combustion Control 2018", 
      "type": "Book"
    }, 
    "keywords": [
      "complex event patterns", 
      "event patterns", 
      "life cycle management", 
      "management tasks", 
      "complex event processing systems", 
      "Complex Event Processing", 
      "event processing systems", 
      "cycle management", 
      "event processing", 
      "semantic description", 
      "execution statistics", 
      "processing system", 
      "semantic representation", 
      "business environment", 
      "systematic methodology", 
      "complex situations", 
      "system evolves", 
      "overall goal", 
      "representation", 
      "methodology", 
      "industrial applications", 
      "task", 
      "implementation", 
      "efficient generation", 
      "processing", 
      "management", 
      "environment", 
      "applications", 
      "system", 
      "goal", 
      "situation", 
      "evolves", 
      "definition", 
      "order", 
      "description", 
      "generation", 
      "patterns", 
      "interest", 
      "backbone", 
      "statistics", 
      "maintenance", 
      "time", 
      "improved definition", 
      "events", 
      "evolution", 
      "importance", 
      "relationship", 
      "changes", 
      "paper", 
      "approach", 
      "Complex Event Processing system evolves", 
      "Event Processing system evolves", 
      "Processing system evolves", 
      "today\u2019s management tasks", 
      "complex event pattern life cycle management", 
      "event pattern life cycle management", 
      "pattern life cycle management", 
      "complex event pattern execution statistics", 
      "event pattern execution statistics", 
      "pattern execution statistics"
    ], 
    "name": "GRUVe: A Methodology for Complex Event Pattern Life Cycle Management", 
    "pagination": "209-223", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1003706656"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-13094-6_17"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-13094-6_17", 
      "https://app.dimensions.ai/details/publication/pub.1003706656"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/chapter/chapter_413.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-13094-6_17"
  }
]
 

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.10.1007/978-3-642-13094-6_17'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-13094-6_17'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-13094-6_17'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-13094-6_17'


 

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

127 TRIPLES      23 PREDICATES      86 URIs      79 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-13094-6_17 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author N6cfc410bfe08488092a1b802d74d23af
4 schema:datePublished 2010
5 schema:datePublishedReg 2010-01-01
6 schema:description With the rising importance of recognizing a complex situation of interest near real-time, many industrial applications have adopted Complex Event Processing as their backbone. In order to remain useful it is important that a Complex Event Processing system evolves according to the changes in its business environment. However, today’s management tasks in a Complex Event Processing system related to the management of complex event patterns are performed purely manually without any systematic methodology. This can be time consuming and error-prone.In this paper we present a methodology and an implementation for the complex event pattern life cycle management. The overall goal is the efficient generation, maintenance and evolution of complex event patterns. Our approach is based on a semantic representation of events and complex event patterns combined with complex event pattern execution statistics. This representation enables an improved definition of relationships between patterns using semantic descriptions of patterns and events.
7 schema:editor N435fea623fb1453293d8237d1a572951
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree true
11 schema:isPartOf N80d80ef85f0d44c8bb25fb3e0ba76216
12 schema:keywords Complex Event Processing
13 Complex Event Processing system evolves
14 Event Processing system evolves
15 Processing system evolves
16 applications
17 approach
18 backbone
19 business environment
20 changes
21 complex event pattern execution statistics
22 complex event pattern life cycle management
23 complex event patterns
24 complex event processing systems
25 complex situations
26 cycle management
27 definition
28 description
29 efficient generation
30 environment
31 event pattern execution statistics
32 event pattern life cycle management
33 event patterns
34 event processing
35 event processing systems
36 events
37 evolution
38 evolves
39 execution statistics
40 generation
41 goal
42 implementation
43 importance
44 improved definition
45 industrial applications
46 interest
47 life cycle management
48 maintenance
49 management
50 management tasks
51 methodology
52 order
53 overall goal
54 paper
55 pattern execution statistics
56 pattern life cycle management
57 patterns
58 processing
59 processing system
60 relationship
61 representation
62 semantic description
63 semantic representation
64 situation
65 statistics
66 system
67 system evolves
68 systematic methodology
69 task
70 time
71 today’s management tasks
72 schema:name GRUVe: A Methodology for Complex Event Pattern Life Cycle Management
73 schema:pagination 209-223
74 schema:productId Na3e98c124b854af688634f67f078dcb5
75 Ndacd0bb80a8c4d908b9f48e75f769ae7
76 schema:publisher N4856c979057d46a7b7ed49e50273c9c1
77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003706656
78 https://doi.org/10.1007/978-3-642-13094-6_17
79 schema:sdDatePublished 2022-01-01T19:24
80 schema:sdLicense https://scigraph.springernature.com/explorer/license/
81 schema:sdPublisher N7499ffb6f9ab473f8bd0fbf766b3c9ac
82 schema:url https://doi.org/10.1007/978-3-642-13094-6_17
83 sgo:license sg:explorer/license/
84 sgo:sdDataset chapters
85 rdf:type schema:Chapter
86 N0010781a7c5f4c44923e2bbb8d944fb2 rdf:first sg:person.011564632227.91
87 rdf:rest rdf:nil
88 N435fea623fb1453293d8237d1a572951 rdf:first N5edc2e79852e4d70b9d1de535c284077
89 rdf:rest rdf:nil
90 N4856c979057d46a7b7ed49e50273c9c1 schema:name Springer Nature
91 rdf:type schema:Organisation
92 N5edc2e79852e4d70b9d1de535c284077 schema:familyName King
93 schema:givenName Rudibert
94 rdf:type schema:Person
95 N6cfc410bfe08488092a1b802d74d23af rdf:first sg:person.016602204374.99
96 rdf:rest N0010781a7c5f4c44923e2bbb8d944fb2
97 N7499ffb6f9ab473f8bd0fbf766b3c9ac schema:name Springer Nature - SN SciGraph project
98 rdf:type schema:Organization
99 N80d80ef85f0d44c8bb25fb3e0ba76216 schema:isbn 978-3-642-13093-9
100 978-3-642-13094-6
101 schema:name Active Flow and Combustion Control 2018
102 rdf:type schema:Book
103 Na3e98c124b854af688634f67f078dcb5 schema:name doi
104 schema:value 10.1007/978-3-642-13094-6_17
105 rdf:type schema:PropertyValue
106 Ndacd0bb80a8c4d908b9f48e75f769ae7 schema:name dimensions_id
107 schema:value pub.1003706656
108 rdf:type schema:PropertyValue
109 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
110 schema:name Information and Computing Sciences
111 rdf:type schema:DefinedTerm
112 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
113 schema:name Information Systems
114 rdf:type schema:DefinedTerm
115 sg:person.011564632227.91 schema:affiliation grid-institutes:None
116 schema:familyName Stojanovic
117 schema:givenName Nenad
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011564632227.91
119 rdf:type schema:Person
120 sg:person.016602204374.99 schema:affiliation grid-institutes:None
121 schema:familyName Sen
122 schema:givenName Sinan
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016602204374.99
124 rdf:type schema:Person
125 grid-institutes:None schema:alternateName FZI Research Center for Information Technology, Haid-und-Neu-Straße 10-14, 76131, Karlsruhe, Germany
126 schema:name FZI Research Center for Information Technology, Haid-und-Neu-Straße 10-14, 76131, Karlsruhe, Germany
127 rdf:type schema:Organization
 




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


...