{"id":"https://openalex.org/W2170979090","doi":"https://doi.org/10.1109/escience.2012.6404467","title":"From scripts towards provenance inference","display_name":"From scripts towards provenance inference","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2170979090","doi":"https://doi.org/10.1109/escience.2012.6404467","mag":"2170979090"},"language":"en","primary_location":{"id":"doi:10.1109/escience.2012.6404467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/escience.2012.6404467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 8th International Conference on E-Science","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ris.utwente.nl/ws/files/5482791/paperV1_cr.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001502423","display_name":"Mohammad Rezwanul Huq","orcid":"https://orcid.org/0000-0002-4222-2838"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mohammad Rezwanul Huq","raw_affiliation_strings":["Department of Computer Science, University of Twente 7522NB, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Twente 7522NB, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091150744","display_name":"Peter M. G. Apers","orcid":null},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter M. G. Apers","raw_affiliation_strings":["Department of Computer Science, University of Twente 7522NB, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Twente 7522NB, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015965846","display_name":"Andreas Wombacher","orcid":null},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Andreas Wombacher","raw_affiliation_strings":["Department of Computer Science, University of Twente 7522NB, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Twente 7522NB, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032181031","display_name":"Yoshihide Wada","orcid":"https://orcid.org/0000-0003-4770-2539"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Yoshihide Wada","raw_affiliation_strings":["Department of Physical Geography, Utrecht University 3584CS, Utrecht, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physical Geography, Utrecht University 3584CS, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ludovicus P. H. van Beek","orcid":null},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ludovicus P. H. van Beek","raw_affiliation_strings":["Department of Physical Geography, Utrecht University 3584CS, Utrecht, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physical Geography, Utrecht University 3584CS, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4468,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68789809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"856","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11937","display_name":"Research Data Management Practices","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/provenance","display_name":"Provenance","score":0.9130080938339233},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.9054610729217529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7339126467704773},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.693976640701294},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5612009763717651},{"id":"https://openalex.org/keywords/workflow-technology","display_name":"Workflow technology","score":0.435838907957077},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41000956296920776},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35849231481552124},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3567678928375244},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.34086453914642334},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13893991708755493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11925646662712097},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11019468307495117}],"concepts":[{"id":"https://openalex.org/C2780049196","wikidata":"https://www.wikidata.org/wiki/Q23582628","display_name":"Provenance","level":2,"score":0.9130080938339233},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.9054610729217529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339126467704773},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.693976640701294},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5612009763717651},{"id":"https://openalex.org/C19612761","wikidata":"https://www.wikidata.org/wiki/Q8034836","display_name":"Workflow technology","level":3,"score":0.435838907957077},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41000956296920776},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35849231481552124},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3567678928375244},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.34086453914642334},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13893991708755493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11925646662712097},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11019468307495117},{"id":"https://openalex.org/C5900021","wikidata":"https://www.wikidata.org/wiki/Q163082","display_name":"Petrology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/escience.2012.6404467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/escience.2012.6404467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 8th International Conference on E-Science","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire/808d3b33-6ea7-4e03-8431-5db9a0be0fd9","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/808d3b33-6ea7-4e03-8431-5db9a0be0fd9","pdf_url":"https://ris.utwente.nl/ws/files/5482791/paperV1_cr.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Huq, M R, Apers, P M G, Wada, Y, van Beek, L P H & Wombacher, A 2012, From Scripts Towards Provenance Inference. in 2012 IEEE 8th International Conference on eScience (eScience). IEEE, Piscataway, NJ, pp. 1-8, 8th IEEE International Conference on e-Science 2012, Chicago, Illinois, United States, 8/10/12. https://doi.org/10.1109/eScience.2012.6404467","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:ris.utwente.nl:publications/808d3b33-6ea7-4e03-8431-5db9a0be0fd9","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:ris.utwente.nl:openaire/808d3b33-6ea7-4e03-8431-5db9a0be0fd9","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/808d3b33-6ea7-4e03-8431-5db9a0be0fd9","pdf_url":"https://ris.utwente.nl/ws/files/5482791/paperV1_cr.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Huq, M R, Apers, P M G, Wada, Y, van Beek, L P H & Wombacher, A 2012, From Scripts Towards Provenance Inference. in 2012 IEEE 8th International Conference on eScience (eScience). IEEE, Piscataway, NJ, pp. 1-8, 8th IEEE International Conference on e-Science 2012, Chicago, Illinois, United States, 8/10/12. https://doi.org/10.1109/eScience.2012.6404467","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2170979090.pdf","grobid_xml":"https://content.openalex.org/works/W2170979090.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1492123846","https://openalex.org/W1505747183","https://openalex.org/W1560250895","https://openalex.org/W1591224080","https://openalex.org/W1724334760","https://openalex.org/W1773843643","https://openalex.org/W1986020334","https://openalex.org/W1994326726","https://openalex.org/W2002087344","https://openalex.org/W2027172230","https://openalex.org/W2104043519","https://openalex.org/W2109748379","https://openalex.org/W2119906910","https://openalex.org/W2142231247","https://openalex.org/W2145655634","https://openalex.org/W2156382101","https://openalex.org/W2770719625","https://openalex.org/W4231488651","https://openalex.org/W4236319136","https://openalex.org/W4239884221","https://openalex.org/W6629192907","https://openalex.org/W6677731784","https://openalex.org/W6746385791","https://openalex.org/W7028775092"],"related_works":["https://openalex.org/W1998651692","https://openalex.org/W2350748972","https://openalex.org/W2380987729","https://openalex.org/W2387628393","https://openalex.org/W2376671203","https://openalex.org/W2391168633","https://openalex.org/W2035995658","https://openalex.org/W2049143847","https://openalex.org/W2385499106","https://openalex.org/W2381204656"],"abstract_inverted_index":{"Scientists":[0],"require":[1],"provenance":[2,24,49,64,80],"information":[3,25,65],"either":[4],"to":[5,10,76,99],"validate":[6],"their":[7],"model":[8],"or":[9],"investigate":[11],"the":[12,29,47,53,67,78,90],"origin":[13],"of":[14],"an":[15],"unexpected":[16],"value.":[17],"However,":[18],"they":[19],"do":[20],"not":[21],"maintain":[22],"any":[23],"and":[26,95],"even":[27],"designing":[28],"processing":[30],"workflow":[31,48,69,79],"is":[32,93],"rare":[33],"in":[34,37],"practice.":[35],"Therefore,":[36],"this":[38],"paper,":[39],"we":[40],"propose":[41],"a":[42,74],"solution":[43],"that":[44,89],"can":[45,61],"build":[46],"graph":[50,81],"by":[51],"interpreting":[52],"scripts":[54],"used":[55],"for":[56,97],"actual":[57],"processing.":[58],"Further,":[59],"scientists":[60,98],"request":[62],"fine-grained":[63],"facilitating":[66],"inferred":[68],"provenance.":[70,101],"We":[71],"also":[72],"provide":[73],"guideline":[75],"customize":[77],"based":[82],"on":[83],"user":[84],"preferences.":[85],"Our":[86],"evaluation":[87],"shows":[88],"proposed":[91],"approach":[92],"relevant":[94],"suitable":[96],"manage":[100]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
