Service querying to support process variant development
•Service querying helps to facilitate the development of process variants.•We provide a query language based on the similarity between services.•We compute the service similarity based on a concept of neighborhood context.•We specify the similarity between service connectors (AND, OR, XOR).•We devel...
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Veröffentlicht in: | The Journal of systems and software 2016-12, Vol.122, p.538-552 |
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container_title | The Journal of systems and software |
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creator | Ngoc Chan, Nguyen Nonsung, Nattawat Gaaloul, Walid |
description | •Service querying helps to facilitate the development of process variants.•We provide a query language based on the similarity between services.•We compute the service similarity based on a concept of neighborhood context.•We specify the similarity between service connectors (AND, OR, XOR).•We developed a GUI application and performed several experiments on a real dataset.
Developing process variants enables enterprises to effectively adapt their business models to different markets. Existing approaches focus on business process models to support the variant development. The assignment of services in a business process, which ensures the process variability, has not been widely examined. In this paper, we present an innovative approach that focuses on component services instead of process models. We target to recommend services to a selected position in a business process. We define the service composition context as the relationships between a service and its neighbors. We compute the similarity between services based on the matching of their composition contexts. Then, we propose a query language that considers the composition context matching for service querying. We developed an application to demonstrate our approach and performed different experiments on a public dataset of real process models. Experimental results show that our approach is feasible and efficient. |
doi_str_mv | 10.1016/j.jss.2015.07.050 |
format | Article |
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Developing process variants enables enterprises to effectively adapt their business models to different markets. Existing approaches focus on business process models to support the variant development. The assignment of services in a business process, which ensures the process variability, has not been widely examined. In this paper, we present an innovative approach that focuses on component services instead of process models. We target to recommend services to a selected position in a business process. We define the service composition context as the relationships between a service and its neighbors. We compute the similarity between services based on the matching of their composition contexts. Then, we propose a query language that considers the composition context matching for service querying. We developed an application to demonstrate our approach and performed different experiments on a public dataset of real process models. Experimental results show that our approach is feasible and efficient.</description><identifier>ISSN: 0164-1212</identifier><identifier>EISSN: 1873-1228</identifier><identifier>DOI: 10.1016/j.jss.2015.07.050</identifier><identifier>CODEN: JSSODM</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Business models ; Composition context matching ; Computer Science ; Service querying ; Service-based business process ; Services ; Studies ; Systems development</subject><ispartof>The Journal of systems and software, 2016-12, Vol.122, p.538-552</ispartof><rights>2015 Elsevier Inc.</rights><rights>Copyright Elsevier Sequoia S.A. Dec 2016</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c402t-5bc6e2f035a9f3e3f71998474ffaa4e29288e11cc95aafc02821eee39f05611c3</citedby><cites>FETCH-LOGICAL-c402t-5bc6e2f035a9f3e3f71998474ffaa4e29288e11cc95aafc02821eee39f05611c3</cites><orcidid>0000-0003-0699-8935 ; 0000-0003-0451-532X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0164121215001697$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://inria.hal.science/hal-01253069$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Ngoc Chan, Nguyen</creatorcontrib><creatorcontrib>Nonsung, Nattawat</creatorcontrib><creatorcontrib>Gaaloul, Walid</creatorcontrib><title>Service querying to support process variant development</title><title>The Journal of systems and software</title><description>•Service querying helps to facilitate the development of process variants.•We provide a query language based on the similarity between services.•We compute the service similarity based on a concept of neighborhood context.•We specify the similarity between service connectors (AND, OR, XOR).•We developed a GUI application and performed several experiments on a real dataset.
Developing process variants enables enterprises to effectively adapt their business models to different markets. Existing approaches focus on business process models to support the variant development. The assignment of services in a business process, which ensures the process variability, has not been widely examined. In this paper, we present an innovative approach that focuses on component services instead of process models. We target to recommend services to a selected position in a business process. We define the service composition context as the relationships between a service and its neighbors. We compute the similarity between services based on the matching of their composition contexts. Then, we propose a query language that considers the composition context matching for service querying. We developed an application to demonstrate our approach and performed different experiments on a public dataset of real process models. Experimental results show that our approach is feasible and efficient.</description><subject>Business models</subject><subject>Composition context matching</subject><subject>Computer Science</subject><subject>Service querying</subject><subject>Service-based business process</subject><subject>Services</subject><subject>Studies</subject><subject>Systems development</subject><issn>0164-1212</issn><issn>1873-1228</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kEFLxDAQhYMouK7-AG8FTx62TpK2SfG0LOoKCx7Uc4jZiabsNjXpFvbfm1Lx6GmGx_eGN4-Qawo5BVrdNXkTY86AljmIHEo4ITMqBV9QxuQpmSWmSDtl5-QixgYABAM2I-IVw-AMZt8HDEfXfma9z-Kh63zosy54gzFmgw5Ot322xQF3vttj21-SM6t3Ea9-55y8Pz68rdaLzcvT82q5WZgCWL8oP0yFzAIvdW05citoXctCFNZqXSCrmZRIqTF1qbU1wCSjiMhrC2WVdD4nt9PdL71TXXB7HY7Ka6fWy40aNaCs5FDVA03szcSm3Omd2KvGH0Kb4ikquZCyYHyk6ESZ4GMMaP_OUlBjl6pRqUs1dqlAqNRl8txPHkyvDg6DisZha3DrAppebb37x_0DJDJ7Tg</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Ngoc Chan, Nguyen</creator><creator>Nonsung, Nattawat</creator><creator>Gaaloul, Walid</creator><general>Elsevier Inc</general><general>Elsevier Sequoia S.A</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0003-0699-8935</orcidid><orcidid>https://orcid.org/0000-0003-0451-532X</orcidid></search><sort><creationdate>20161201</creationdate><title>Service querying to support process variant development</title><author>Ngoc Chan, Nguyen ; Nonsung, Nattawat ; Gaaloul, Walid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c402t-5bc6e2f035a9f3e3f71998474ffaa4e29288e11cc95aafc02821eee39f05611c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Business models</topic><topic>Composition context matching</topic><topic>Computer Science</topic><topic>Service querying</topic><topic>Service-based business process</topic><topic>Services</topic><topic>Studies</topic><topic>Systems development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ngoc Chan, Nguyen</creatorcontrib><creatorcontrib>Nonsung, Nattawat</creatorcontrib><creatorcontrib>Gaaloul, Walid</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>The Journal of systems and software</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ngoc Chan, Nguyen</au><au>Nonsung, Nattawat</au><au>Gaaloul, Walid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Service querying to support process variant development</atitle><jtitle>The Journal of systems and software</jtitle><date>2016-12-01</date><risdate>2016</risdate><volume>122</volume><spage>538</spage><epage>552</epage><pages>538-552</pages><issn>0164-1212</issn><eissn>1873-1228</eissn><coden>JSSODM</coden><abstract>•Service querying helps to facilitate the development of process variants.•We provide a query language based on the similarity between services.•We compute the service similarity based on a concept of neighborhood context.•We specify the similarity between service connectors (AND, OR, XOR).•We developed a GUI application and performed several experiments on a real dataset.
Developing process variants enables enterprises to effectively adapt their business models to different markets. Existing approaches focus on business process models to support the variant development. The assignment of services in a business process, which ensures the process variability, has not been widely examined. In this paper, we present an innovative approach that focuses on component services instead of process models. We target to recommend services to a selected position in a business process. We define the service composition context as the relationships between a service and its neighbors. We compute the similarity between services based on the matching of their composition contexts. Then, we propose a query language that considers the composition context matching for service querying. We developed an application to demonstrate our approach and performed different experiments on a public dataset of real process models. Experimental results show that our approach is feasible and efficient.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.jss.2015.07.050</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-0699-8935</orcidid><orcidid>https://orcid.org/0000-0003-0451-532X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Business models Composition context matching Computer Science Service querying Service-based business process Services Studies Systems development |
title | Service querying to support process variant development |
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