Acquisition and understanding of process knowledge using problem solving methods
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Amsterdam]
IOS Press AKA
[2010]
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| Schriftenreihe: | Studies on the Semantic Web
v. 007 |
| Schlagworte: | |
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| 100 | 1 | |a Gomez-Perez, Jose Manuel |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Acquisition and understanding of process knowledge using problem solving methods |c Jose Manuel Gomez-Perez |
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| 505 | 8 | |a The development of knowledge-based systems is usually approached through the combined skills of knowledge engineers (KEs) and subject matter experts (SMEs). One of the most critical steps in this activity aims at transferring knowledge from SMEs to formal, machine-readable representations, which allow systems to reason with such knowledge. However, this is a costly and error prone task. Alleviating the knowledge acquisition bottleneck requires enabling SMEs with the means to produce the desired knowledge representations without the help of KEs. This is especially difficult application domains uncovers that process knowledge is one of the most freqent knowledge types, whose complexity requires specific means to enable SMEs to represent processes in a computational form. Additionally, such complexity and the increasigly large amount of data that process executions generate in knowledge-intensive domains, like Biology or Astronomy, requires analytical means with high abstraction capabilities to support SMEs in the analysis of such processes. This book presents methods and tools that enable SMEs to acquire process knowledge from the domains, formally represent such knowledge, reason about it, and understand process executions by analyzing their provenance. We describe the utilization of Problem Solving Methods as the main knowledge artifacts for process acquisition and analysis in two innovative ways. First, as formalizations of the reasoning strategies needed for processes and, second, as high-level, domain-independent, and reusable abstractions of process knowledge to provide SMEs with interpretati-ons of process executions--P.4 of cover | |
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| 650 | 4 | |a Knowledge acquisition (Expert systems) |a Problem solving |x Data processing | |
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Datensatz im Suchindex
| _version_ | 1804179175139966976 |
|---|---|
| any_adam_object | |
| author | Gomez-Perez, Jose Manuel |
| author_facet | Gomez-Perez, Jose Manuel |
| author_role | aut |
| author_sort | Gomez-Perez, Jose Manuel |
| author_variant | j m g p jmg jmgp |
| building | Verbundindex |
| bvnumber | BV045350469 |
| collection | ZDB-4-ITC |
| contents | The development of knowledge-based systems is usually approached through the combined skills of knowledge engineers (KEs) and subject matter experts (SMEs). One of the most critical steps in this activity aims at transferring knowledge from SMEs to formal, machine-readable representations, which allow systems to reason with such knowledge. However, this is a costly and error prone task. Alleviating the knowledge acquisition bottleneck requires enabling SMEs with the means to produce the desired knowledge representations without the help of KEs. This is especially difficult application domains uncovers that process knowledge is one of the most freqent knowledge types, whose complexity requires specific means to enable SMEs to represent processes in a computational form. Additionally, such complexity and the increasigly large amount of data that process executions generate in knowledge-intensive domains, like Biology or Astronomy, requires analytical means with high abstraction capabilities to support SMEs in the analysis of such processes. This book presents methods and tools that enable SMEs to acquire process knowledge from the domains, formally represent such knowledge, reason about it, and understand process executions by analyzing their provenance. We describe the utilization of Problem Solving Methods as the main knowledge artifacts for process acquisition and analysis in two innovative ways. First, as formalizations of the reasoning strategies needed for processes and, second, as high-level, domain-independent, and reusable abstractions of process knowledge to provide SMEs with interpretati-ons of process executions--P.4 of cover |
| ctrlnum | (ZDB-4-ITC)ocn868068573 (OCoLC)868068573 (DE-599)BVBBV045350469 |
| dewey-full | 006.3/31 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/31 |
| dewey-search | 006.3/31 |
| dewey-sort | 16.3 231 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV045350469 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:41Z |
| institution | BVB |
| isbn | 9781614993414 1614993416 1306284767 9781306284769 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030737123 |
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| physical | 1 online resource (x, 144 pages) illustrations |
| psigel | ZDB-4-ITC |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | IOS Press AKA |
| record_format | marc |
| series2 | Studies on the Semantic Web |
| spelling | Gomez-Perez, Jose Manuel Verfasser aut Acquisition and understanding of process knowledge using problem solving methods Jose Manuel Gomez-Perez [Amsterdam] IOS Press AKA [2010] 2010 1 online resource (x, 144 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Studies on the Semantic Web v. 007 Print version record The development of knowledge-based systems is usually approached through the combined skills of knowledge engineers (KEs) and subject matter experts (SMEs). One of the most critical steps in this activity aims at transferring knowledge from SMEs to formal, machine-readable representations, which allow systems to reason with such knowledge. However, this is a costly and error prone task. Alleviating the knowledge acquisition bottleneck requires enabling SMEs with the means to produce the desired knowledge representations without the help of KEs. This is especially difficult application domains uncovers that process knowledge is one of the most freqent knowledge types, whose complexity requires specific means to enable SMEs to represent processes in a computational form. Additionally, such complexity and the increasigly large amount of data that process executions generate in knowledge-intensive domains, like Biology or Astronomy, requires analytical means with high abstraction capabilities to support SMEs in the analysis of such processes. This book presents methods and tools that enable SMEs to acquire process knowledge from the domains, formally represent such knowledge, reason about it, and understand process executions by analyzing their provenance. We describe the utilization of Problem Solving Methods as the main knowledge artifacts for process acquisition and analysis in two innovative ways. First, as formalizations of the reasoning strategies needed for processes and, second, as high-level, domain-independent, and reusable abstractions of process knowledge to provide SMEs with interpretati-ons of process executions--P.4 of cover COMPUTERS / General bisacsh Knowledge acquisition (Expert systems) fast Problem solving / Data processing fast Knowledge acquisition (Expert systems) Problem solving Data processing Erscheint auch als Druck-Ausgabe Gomez-Perez, Jose Manuel Acquisition and understanding of process knowledge using problem solving methods 1607506009 |
| spellingShingle | Gomez-Perez, Jose Manuel Acquisition and understanding of process knowledge using problem solving methods The development of knowledge-based systems is usually approached through the combined skills of knowledge engineers (KEs) and subject matter experts (SMEs). One of the most critical steps in this activity aims at transferring knowledge from SMEs to formal, machine-readable representations, which allow systems to reason with such knowledge. However, this is a costly and error prone task. Alleviating the knowledge acquisition bottleneck requires enabling SMEs with the means to produce the desired knowledge representations without the help of KEs. This is especially difficult application domains uncovers that process knowledge is one of the most freqent knowledge types, whose complexity requires specific means to enable SMEs to represent processes in a computational form. Additionally, such complexity and the increasigly large amount of data that process executions generate in knowledge-intensive domains, like Biology or Astronomy, requires analytical means with high abstraction capabilities to support SMEs in the analysis of such processes. This book presents methods and tools that enable SMEs to acquire process knowledge from the domains, formally represent such knowledge, reason about it, and understand process executions by analyzing their provenance. We describe the utilization of Problem Solving Methods as the main knowledge artifacts for process acquisition and analysis in two innovative ways. First, as formalizations of the reasoning strategies needed for processes and, second, as high-level, domain-independent, and reusable abstractions of process knowledge to provide SMEs with interpretati-ons of process executions--P.4 of cover COMPUTERS / General bisacsh Knowledge acquisition (Expert systems) fast Problem solving / Data processing fast Knowledge acquisition (Expert systems) Problem solving Data processing |
| title | Acquisition and understanding of process knowledge using problem solving methods |
| title_auth | Acquisition and understanding of process knowledge using problem solving methods |
| title_exact_search | Acquisition and understanding of process knowledge using problem solving methods |
| title_full | Acquisition and understanding of process knowledge using problem solving methods Jose Manuel Gomez-Perez |
| title_fullStr | Acquisition and understanding of process knowledge using problem solving methods Jose Manuel Gomez-Perez |
| title_full_unstemmed | Acquisition and understanding of process knowledge using problem solving methods Jose Manuel Gomez-Perez |
| title_short | Acquisition and understanding of process knowledge using problem solving methods |
| title_sort | acquisition and understanding of process knowledge using problem solving methods |
| topic | COMPUTERS / General bisacsh Knowledge acquisition (Expert systems) fast Problem solving / Data processing fast Knowledge acquisition (Expert systems) Problem solving Data processing |
| topic_facet | COMPUTERS / General Knowledge acquisition (Expert systems) Problem solving / Data processing Knowledge acquisition (Expert systems) Problem solving Data processing |
| work_keys_str_mv | AT gomezperezjosemanuel acquisitionandunderstandingofprocessknowledgeusingproblemsolvingmethods |