Semantic Complex Event Reasoning—Beyond Complex Event Processing View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Nenad Stojanovic , Ljiljana Stojanovic , Darko Anicic , Jun Ma , Sinan Sen , Roland Stühmer

ABSTRACT

Complex event processing is about processing huge amounts of information in real time, in a rather complex way. The degree of complexity is determined by the level of the interdependencies between information to be processed. There are several more or less traditional operators for defining these interdependencies, which are supported by existing approaches and the main competition is around the speed (throughput) of processing. However, novel application domains like Future Internet are challenging complex event processing for a more comprehensive approach: from how to create complex event patterns over the heterogeneous event sources (including textual data), to how to efficiently detect them in a distributed setting, including the usage of background knowledge. In this chapter we present an approach for intelligent CEP (iCEP) based on the usage of semantic technologies. It represents an end-to-end solution for iCEP starting from the definition of complex event patterns, through intelligent detection, to advanced 3-D visualization of complex events. At the center of the approach is the semantic model of complex events that alleviates the process of creating and maintaining complex event patterns. The approach utilizes logic-based processing for including domain knowledge in the complex event detection process, leading to complex event reasoning. This approach has been implemented in the web-based framework called iCEP Studio. More... »

PAGES

253-279

Book

TITLE

Foundations for the Web of Information and Services

ISBN

978-3-642-19796-3
978-3-642-19797-0

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-19797-0_14

DOI

http://dx.doi.org/10.1007/978-3-642-19797-0_14

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1041184002


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "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 Forschungszentrum Informatik, Karlsruhe, Germany", 
          "id": "http://www.grid.ac/institutes/grid.28541.3a", 
          "name": [
            "FZI Forschungszentrum Informatik, 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"
      }, 
      {
        "affiliation": {
          "alternateName": "FZI Forschungszentrum Informatik, Karlsruhe, Germany", 
          "id": "http://www.grid.ac/institutes/grid.28541.3a", 
          "name": [
            "FZI Forschungszentrum Informatik, Karlsruhe, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stojanovic", 
        "givenName": "Ljiljana", 
        "id": "sg:person.013755153627.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013755153627.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "FZI Forschungszentrum Informatik, Karlsruhe, Germany", 
          "id": "http://www.grid.ac/institutes/grid.28541.3a", 
          "name": [
            "FZI Forschungszentrum Informatik, Karlsruhe, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Anicic", 
        "givenName": "Darko", 
        "id": "sg:person.014435305051.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014435305051.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "FZI Forschungszentrum Informatik, Karlsruhe, Germany", 
          "id": "http://www.grid.ac/institutes/grid.28541.3a", 
          "name": [
            "FZI Forschungszentrum Informatik, Karlsruhe, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ma", 
        "givenName": "Jun", 
        "id": "sg:person.013363352161.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013363352161.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "FZI Forschungszentrum Informatik, Karlsruhe, Germany", 
          "id": "http://www.grid.ac/institutes/grid.28541.3a", 
          "name": [
            "FZI Forschungszentrum Informatik, 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 Forschungszentrum Informatik, Karlsruhe, Germany", 
          "id": "http://www.grid.ac/institutes/grid.28541.3a", 
          "name": [
            "FZI Forschungszentrum Informatik, Karlsruhe, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "St\u00fchmer", 
        "givenName": "Roland", 
        "id": "sg:person.07555104547.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07555104547.53"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2011", 
    "datePublishedReg": "2011-01-01", 
    "description": "Complex event processing is about processing huge amounts of information in real time, in a rather complex way. The degree of complexity is determined by the level of the interdependencies between information to be processed. There are several more or less traditional operators for defining these interdependencies, which are supported by existing approaches and the main competition is around the speed (throughput) of processing. However, novel application domains like Future Internet are challenging complex event processing for a more comprehensive approach: from how to create complex event patterns over the heterogeneous event sources (including textual data), to how to efficiently detect them in a distributed setting, including the usage of background knowledge. In this chapter we present an approach for intelligent CEP (iCEP) based on the usage of semantic technologies. It represents an end-to-end solution for iCEP starting from the definition of complex event patterns, through intelligent detection, to advanced 3-D visualization of complex events. At the center of the approach is the semantic model of complex events that alleviates the process of creating and maintaining complex event patterns. The approach utilizes logic-based processing for including domain knowledge in the complex event detection process, leading to complex event reasoning. This approach has been implemented in the web-based framework called iCEP Studio.", 
    "editor": [
      {
        "familyName": "Fensel", 
        "givenName": "Dieter", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-19797-0_14", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-19796-3", 
        "978-3-642-19797-0"
      ], 
      "name": "Foundations for the Web of Information and Services", 
      "type": "Book"
    }, 
    "keywords": [
      "complex event patterns", 
      "Complex Event Processing", 
      "event patterns", 
      "event processing", 
      "event reasoning", 
      "novel application domains", 
      "complex events", 
      "web-based framework", 
      "event detection process", 
      "semantic technologies", 
      "future Internet", 
      "application domains", 
      "domain knowledge", 
      "intelligent detection", 
      "end solution", 
      "semantic model", 
      "event sources", 
      "huge amount", 
      "traditional operators", 
      "detection process", 
      "background knowledge", 
      "real time", 
      "degree of complexity", 
      "reasoning", 
      "processing", 
      "main competition", 
      "usage", 
      "Internet", 
      "information", 
      "interdependencies", 
      "complexity", 
      "visualization", 
      "technology", 
      "framework", 
      "speed of processing", 
      "knowledge", 
      "operators", 
      "studio", 
      "comprehensive approach", 
      "detection", 
      "domain", 
      "speed", 
      "process", 
      "solution", 
      "way", 
      "definition", 
      "model", 
      "complex ways", 
      "patterns", 
      "time", 
      "end", 
      "CEP", 
      "amount", 
      "chapter", 
      "events", 
      "setting", 
      "source", 
      "competition", 
      "center", 
      "degree", 
      "levels", 
      "approach"
    ], 
    "name": "Semantic Complex Event Reasoning\u2014Beyond Complex Event Processing", 
    "pagination": "253-279", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1041184002"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-19797-0_14"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-19797-0_14", 
      "https://app.dimensions.ai/details/publication/pub.1041184002"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-05-10T10:42", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/chapter/chapter_235.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-19797-0_14"
  }
]
 

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.10.1007/978-3-642-19797-0_14'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-19797-0_14'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-19797-0_14'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-19797-0_14'


 

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

161 TRIPLES      23 PREDICATES      88 URIs      80 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-19797-0_14 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 anzsrc-for:0806
4 schema:author N8a2399beafd64f14b9782f34d87f3b9b
5 schema:datePublished 2011
6 schema:datePublishedReg 2011-01-01
7 schema:description Complex event processing is about processing huge amounts of information in real time, in a rather complex way. The degree of complexity is determined by the level of the interdependencies between information to be processed. There are several more or less traditional operators for defining these interdependencies, which are supported by existing approaches and the main competition is around the speed (throughput) of processing. However, novel application domains like Future Internet are challenging complex event processing for a more comprehensive approach: from how to create complex event patterns over the heterogeneous event sources (including textual data), to how to efficiently detect them in a distributed setting, including the usage of background knowledge. In this chapter we present an approach for intelligent CEP (iCEP) based on the usage of semantic technologies. It represents an end-to-end solution for iCEP starting from the definition of complex event patterns, through intelligent detection, to advanced 3-D visualization of complex events. At the center of the approach is the semantic model of complex events that alleviates the process of creating and maintaining complex event patterns. The approach utilizes logic-based processing for including domain knowledge in the complex event detection process, leading to complex event reasoning. This approach has been implemented in the web-based framework called iCEP Studio.
8 schema:editor N5ac4b311957842b09efa4407e1809c9c
9 schema:genre chapter
10 schema:inLanguage en
11 schema:isAccessibleForFree false
12 schema:isPartOf N03517b9125b1482cbdc282ebbdfd641d
13 schema:keywords CEP
14 Complex Event Processing
15 Internet
16 amount
17 application domains
18 approach
19 background knowledge
20 center
21 chapter
22 competition
23 complex event patterns
24 complex events
25 complex ways
26 complexity
27 comprehensive approach
28 definition
29 degree
30 degree of complexity
31 detection
32 detection process
33 domain
34 domain knowledge
35 end
36 end solution
37 event detection process
38 event patterns
39 event processing
40 event reasoning
41 event sources
42 events
43 framework
44 future Internet
45 huge amount
46 information
47 intelligent detection
48 interdependencies
49 knowledge
50 levels
51 main competition
52 model
53 novel application domains
54 operators
55 patterns
56 process
57 processing
58 real time
59 reasoning
60 semantic model
61 semantic technologies
62 setting
63 solution
64 source
65 speed
66 speed of processing
67 studio
68 technology
69 time
70 traditional operators
71 usage
72 visualization
73 way
74 web-based framework
75 schema:name Semantic Complex Event Reasoning—Beyond Complex Event Processing
76 schema:pagination 253-279
77 schema:productId N609490857a94413eb370ce09384b4051
78 N83f71d003e02406faed2becff5fe8930
79 schema:publisher N3303156f1e7d40168eeb4035683c0a84
80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041184002
81 https://doi.org/10.1007/978-3-642-19797-0_14
82 schema:sdDatePublished 2022-05-10T10:42
83 schema:sdLicense https://scigraph.springernature.com/explorer/license/
84 schema:sdPublisher Nb5636fa5d2c0480cbd5ea2b6d66908b9
85 schema:url https://doi.org/10.1007/978-3-642-19797-0_14
86 sgo:license sg:explorer/license/
87 sgo:sdDataset chapters
88 rdf:type schema:Chapter
89 N03517b9125b1482cbdc282ebbdfd641d schema:isbn 978-3-642-19796-3
90 978-3-642-19797-0
91 schema:name Foundations for the Web of Information and Services
92 rdf:type schema:Book
93 N10b660d0c6044652958344b5124dfa7f rdf:first sg:person.013363352161.43
94 rdf:rest Ne6aa206be3f7413193a6943931bb4cb8
95 N13b9636fd52e4c478794f3d0282ed626 schema:familyName Fensel
96 schema:givenName Dieter
97 rdf:type schema:Person
98 N3303156f1e7d40168eeb4035683c0a84 schema:name Springer Nature
99 rdf:type schema:Organisation
100 N3eeecc88da6a4f25a0153f61bc45fad4 rdf:first sg:person.014435305051.32
101 rdf:rest N10b660d0c6044652958344b5124dfa7f
102 N4f264731b7a74a52a3e6655dd589ea09 rdf:first sg:person.07555104547.53
103 rdf:rest rdf:nil
104 N5ac4b311957842b09efa4407e1809c9c rdf:first N13b9636fd52e4c478794f3d0282ed626
105 rdf:rest rdf:nil
106 N609490857a94413eb370ce09384b4051 schema:name dimensions_id
107 schema:value pub.1041184002
108 rdf:type schema:PropertyValue
109 N83f71d003e02406faed2becff5fe8930 schema:name doi
110 schema:value 10.1007/978-3-642-19797-0_14
111 rdf:type schema:PropertyValue
112 N8a2399beafd64f14b9782f34d87f3b9b rdf:first sg:person.011564632227.91
113 rdf:rest Nb44247f6b63346ff99519d3033757325
114 Nb44247f6b63346ff99519d3033757325 rdf:first sg:person.013755153627.81
115 rdf:rest N3eeecc88da6a4f25a0153f61bc45fad4
116 Nb5636fa5d2c0480cbd5ea2b6d66908b9 schema:name Springer Nature - SN SciGraph project
117 rdf:type schema:Organization
118 Ne6aa206be3f7413193a6943931bb4cb8 rdf:first sg:person.016602204374.99
119 rdf:rest N4f264731b7a74a52a3e6655dd589ea09
120 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
121 schema:name Information and Computing Sciences
122 rdf:type schema:DefinedTerm
123 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
124 schema:name Artificial Intelligence and Image Processing
125 rdf:type schema:DefinedTerm
126 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
127 schema:name Information Systems
128 rdf:type schema:DefinedTerm
129 sg:person.011564632227.91 schema:affiliation grid-institutes:grid.28541.3a
130 schema:familyName Stojanovic
131 schema:givenName Nenad
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011564632227.91
133 rdf:type schema:Person
134 sg:person.013363352161.43 schema:affiliation grid-institutes:grid.28541.3a
135 schema:familyName Ma
136 schema:givenName Jun
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013363352161.43
138 rdf:type schema:Person
139 sg:person.013755153627.81 schema:affiliation grid-institutes:grid.28541.3a
140 schema:familyName Stojanovic
141 schema:givenName Ljiljana
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013755153627.81
143 rdf:type schema:Person
144 sg:person.014435305051.32 schema:affiliation grid-institutes:grid.28541.3a
145 schema:familyName Anicic
146 schema:givenName Darko
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014435305051.32
148 rdf:type schema:Person
149 sg:person.016602204374.99 schema:affiliation grid-institutes:grid.28541.3a
150 schema:familyName Sen
151 schema:givenName Sinan
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016602204374.99
153 rdf:type schema:Person
154 sg:person.07555104547.53 schema:affiliation grid-institutes:grid.28541.3a
155 schema:familyName Stühmer
156 schema:givenName Roland
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07555104547.53
158 rdf:type schema:Person
159 grid-institutes:grid.28541.3a schema:alternateName FZI Forschungszentrum Informatik, Karlsruhe, Germany
160 schema:name FZI Forschungszentrum Informatik, Karlsruhe, Germany
161 rdf:type schema:Organization
 




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


...