{"id":"https://openalex.org/W3138979956","doi":"https://doi.org/10.1007/978-3-030-71593-9_20","title":"On the Provenance Extraction Techniques from Large Scale Log Files: A Case Study for the Numerical Weather Prediction Models","display_name":"On the Provenance Extraction Techniques from Large Scale Log Files: A Case Study for the Numerical Weather Prediction Models","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3138979956","doi":"https://doi.org/10.1007/978-3-030-71593-9_20","mag":"3138979956"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-71593-9_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-71593-9_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047199905","display_name":"Alper Tufek","orcid":"https://orcid.org/0000-0003-1279-9318"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Alper Tufek","raw_affiliation_strings":["Yildiz Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036873257","display_name":"Mehmet S. Akta\u015f","orcid":"https://orcid.org/0000-0001-7908-5067"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet S. Aktas","raw_affiliation_strings":["Yildiz Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047199905"],"corresponding_institution_ids":["https://openalex.org/I4101805"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.3973,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93046056,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"260"},"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":0.9959999918937683,"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":0.9950000047683716,"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/weather-research-and-forecasting-model","display_name":"Weather Research and Forecasting Model","score":0.879913330078125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8148552179336548},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.7789304256439209},{"id":"https://openalex.org/keywords/model-output-statistics","display_name":"Model output statistics","score":0.5426715612411499},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5346404910087585},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5273512005805969},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.5206860303878784},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4432118535041809},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43058642745018005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3315182328224182},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2211572825908661},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.21809834241867065}],"concepts":[{"id":"https://openalex.org/C133204551","wikidata":"https://www.wikidata.org/wiki/Q838305","display_name":"Weather Research and Forecasting Model","level":2,"score":0.879913330078125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8148552179336548},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.7789304256439209},{"id":"https://openalex.org/C37505551","wikidata":"https://www.wikidata.org/wiki/Q1453537","display_name":"Model output statistics","level":3,"score":0.5426715612411499},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5346404910087585},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5273512005805969},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.5206860303878784},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4432118535041809},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43058642745018005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3315182328224182},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2211572825908661},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.21809834241867065},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-71593-9_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-71593-9_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7200000286102295,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W192671640","https://openalex.org/W1859938857","https://openalex.org/W1984259452","https://openalex.org/W1994326726","https://openalex.org/W2006926885","https://openalex.org/W2025069071","https://openalex.org/W2025478229","https://openalex.org/W2034543965","https://openalex.org/W2037858832","https://openalex.org/W2069028640","https://openalex.org/W2128226234","https://openalex.org/W2131660027","https://openalex.org/W2156093156","https://openalex.org/W2166706824","https://openalex.org/W2168544140","https://openalex.org/W2483914105","https://openalex.org/W2806011239","https://openalex.org/W2888036652","https://openalex.org/W2890449964","https://openalex.org/W2943392840","https://openalex.org/W3097390361","https://openalex.org/W4232793876","https://openalex.org/W4234077396","https://openalex.org/W6679391856"],"related_works":["https://openalex.org/W4287886605","https://openalex.org/W2292209527","https://openalex.org/W2739937788","https://openalex.org/W4224248788","https://openalex.org/W4315472244","https://openalex.org/W4322208703","https://openalex.org/W2321020009","https://openalex.org/W4385749727","https://openalex.org/W3110237217","https://openalex.org/W3021464272"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}