{"id":"https://openalex.org/W7140145974","doi":"https://doi.org/10.48550/arxiv.2603.19237","title":"Prompt engineering for bibliographic web-scraping","display_name":"Prompt engineering for bibliographic web-scraping","publication_year":2026,"publication_date":"2026-01-09","ids":{"openalex":"https://openalex.org/W7140145974","doi":"https://doi.org/10.48550/arxiv.2603.19237"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.19237","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19237","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.19237","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bl\u00e1zquez-Ochando, Manuel","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bl\u00e1zquez-Ochando, Manuel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Prieto-Guti\u00e9rrez, Juan Jos\u00e9","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prieto-Guti\u00e9rrez, Juan Jos\u00e9","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Ovalle-Perandones, Mar\u00eda Antonia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ovalle-Perandones, Mar\u00eda Antonia","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.12800000607967377,"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"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.12800000607967377,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.12720000743865967,"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"}},{"id":"https://openalex.org/T11937","display_name":"Research Data Management Practices","score":0.08569999784231186,"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/presentation","display_name":"Presentation (obstetrics)","score":0.590399980545044},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47859999537467957},{"id":"https://openalex.org/keywords/national-library","display_name":"National library","score":0.42239999771118164},{"id":"https://openalex.org/keywords/data-presentation","display_name":"Data presentation","score":0.413100004196167},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.37929999828338623},{"id":"https://openalex.org/keywords/bibliographic-database","display_name":"Bibliographic database","score":0.37119999527931213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7354999780654907},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.590399980545044},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5015000104904175},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47859999537467957},{"id":"https://openalex.org/C2994543612","wikidata":"https://www.wikidata.org/wiki/Q22806","display_name":"National library","level":2,"score":0.42239999771118164},{"id":"https://openalex.org/C2985584371","wikidata":"https://www.wikidata.org/wiki/Q215121","display_name":"Data presentation","level":3,"score":0.413100004196167},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.37929999828338623},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3774000108242035},{"id":"https://openalex.org/C2779980791","wikidata":"https://www.wikidata.org/wiki/Q1789476","display_name":"Bibliographic database","level":2,"score":0.37119999527931213},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.336899995803833},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.262800008058548},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.19237","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19237","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.19237","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19237","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4432067573070526,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Bibliographic":[0],"catalogues":[1],"store":[2],"millions":[3],"of":[4,8,17,28,34,41,52,92,102,106,111,113,146,157,171,173],"data.":[5],"The":[6,25,50,117,136],"use":[7,61,145],"computer":[9],"techniques":[10],"such":[11],"as":[12],"web-scraping":[13,125],"allows":[14],"the":[15,32,39,90,99,103,132,140,144,155],"extraction":[16],"data":[18,68],"in":[19,74,85],"an":[20,120],"efficient":[21],"and":[22,45,130,163,169],"accurate":[23],"manner.":[24],"recent":[26],"emergence":[27],"ChatGPT":[29],"is":[30,55,115],"facilitating":[31],"development":[33],"suitable":[35,67],"prompts":[36,62,147],"that":[37,143],"allow":[38],"configuration":[40],"scraping":[42,158],"to":[43,56,59,64,72,89,166],"identify":[44],"extract":[46],"information":[47],"from":[48],"databases.":[49],"aim":[51],"this":[53],"article":[54],"define":[57],"how":[58],"efficiently":[60],"engineering":[63],"elaborate":[65],"a":[66,75,80,96,109],"entry":[69],"model,":[70],"able":[71],"generate":[73],"single":[76],"interaction":[77],"with":[78,108,128,131,139,148],"ChatGPT-4o,":[79],"fully":[81],"functional":[82],"web-scraper,":[83],"programmed":[84],"PHP":[86],"language,":[87],"adapted":[88],"case":[91],"bibliographic":[93,100,174],"catalogues.":[94],"As":[95],"demonstration":[97],"example,":[98],"catalogue":[101],"National":[104],"Library":[105],"Spain":[107],"dataset":[110],"thousands":[112],"records":[114],"used.":[116],"findings":[118],"present":[119],"effective":[121],"model":[122,141],"for":[123],"developing":[124],"programs,":[126],"assisted":[127],"AI":[129],"minimum":[133],"possible":[134],"interaction.":[135],"results":[137],"obtained":[138],"indicate":[142],"large":[149],"language":[150],"models":[151],"(LLM)":[152],"can":[153],"improve":[154],"quality":[156],"by":[159],"understanding":[160],"specific":[161],"contexts":[162],"patterns,":[164],"adapting":[165],"different":[167],"formats":[168],"styles":[170],"presentation":[172],"information.":[175]},"counts_by_year":[],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-12-08T00:00:00"}
