{"id":"https://openalex.org/W6925383878","doi":"https://doi.org/10.18420/btw2025-120","title":"Semantic technologies for interdisciplinary research: A case study on improving data synthesis and integration in the biodiversity domain","display_name":"Semantic technologies for interdisciplinary research: A case study on improving data synthesis and integration in the biodiversity domain","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W6925383878","doi":"https://doi.org/10.18420/btw2025-120"},"language":"en","primary_location":{"id":"doi:10.18420/btw2025-120","is_oa":true,"landing_page_url":"https://doi.org/10.18420/btw2025-120","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/btw2025-120","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Al Mustafa, Tarek","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Al Mustafa, Tarek","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zander, Franziska","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zander, Franziska","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Schellenberger Costa, David","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schellenberger Costa, David","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Kleinsteuber, Erik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kleinsteuber, Erik","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wirth, Christian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wirth, Christian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"K\u00f6nig-Ries, Birgitta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K\u00f6nig-Ries, Birgitta","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39710389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.7774999737739563,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.7774999737739563,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.03020000085234642,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11075","display_name":"Insect Resistance and Genetics","score":0.012799999676644802,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7656999826431274},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.6672000288963318},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.6007000207901001},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5809999704360962},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.5526999831199646},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.546500027179718},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45579999685287476},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4311999976634979},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.40869998931884766},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.39579999446868896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871000170707703},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7656999826431274},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.6672000288963318},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.6007000207901001},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5809999704360962},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5533999800682068},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.5526999831199646},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.546500027179718},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45579999685287476},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4311999976634979},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.40869998931884766},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.39579999446868896},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3790999948978424},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.3662000000476837},{"id":"https://openalex.org/C1668388","wikidata":"https://www.wikidata.org/wiki/Q1149776","display_name":"Data management","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.31450000405311584},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.31150001287460327},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3046000003814697},{"id":"https://openalex.org/C110893760","wikidata":"https://www.wikidata.org/wiki/Q3115590","display_name":"Named graph","level":5,"score":0.3041999936103821},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.29809999465942383},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C56289545","wikidata":"https://www.wikidata.org/wiki/Q6423376","display_name":"Knowledge integration","level":3,"score":0.29649999737739563},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C197352329","wikidata":"https://www.wikidata.org/wiki/Q1093434","display_name":"Citizen science","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C2777516300","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data discovery","level":3,"score":0.25850000977516174},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.25360000133514404},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18420/btw2025-120","is_oa":true,"landing_page_url":"https://doi.org/10.18420/btw2025-120","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18420/btw2025-120","is_oa":true,"landing_page_url":"https://doi.org/10.18420/btw2025-120","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"biodiversity":[1,80,242],"research,":[2],"synthesizing":[3],"data":[4,26,72,140,151,190],"from":[5,141,152,160,186],"different":[6,179],"sources":[7,132,162],"is":[8],"frequently":[9],"needed":[10,105,171],"as":[11,56],"a":[12,28,126,143,175,216],"prerequisite":[13],"to":[14,59,69,86,172,223,247],"answering":[15],"important":[16],"questions.":[17,47],"Performing":[18],"this":[19,61,212,256],"synthesis":[20],"and":[21,93,103,111,119,154,157,177,198,200,206,237,245],"integrating":[22],"one's":[23],"own":[24],"research":[25,81,243],"remains":[27],"tedious":[29],"process":[30],"requiring":[31],"significant":[32,87],"human":[33],"effort.":[34],"Often,":[35],"the":[36,54,70,115,120,134,169,241,249],"results":[37],"of":[38,117,211,258],"these":[39],"efforts":[40],"are":[41],"not":[42],"easily":[43],"reusable":[44],"for":[45,106,181,189,203],"other":[46],"Knowledge":[48],"graphs":[49],"have":[50,75],"been":[51],"proposed":[52],"in":[53,63,79,89,114,240,255],"literature":[55],"an":[57,101],"approach":[58,102],"alleviate":[60],"problem,":[62],"part":[64],"through":[65],"their":[66],"inherent":[67],"adherence":[68],"FAIR":[71],"principles,":[73],"but":[74],"gained":[76],"little":[77],"traction":[78],"practice":[82],"so":[83],"far":[84],"due":[85],"challenges":[88],"knowledge":[90,107,127],"graph":[91,108,128,176],"construction":[92],"usage":[94,112,210],"by":[95],"non-domain":[96],"experts.":[97],"Our":[98],"contribution":[99],"showcases":[100],"tools":[104],"creation,":[109],"management,":[110],"implemented":[113],"context":[116],"PlantHub":[118,135],"former":[121],"iKNOW":[122],"project.":[123],"We":[124,167,233],"present":[125,168],"combining":[129],"plant":[130,144],"trait":[131,145],"within":[133],"project":[136],"(planthub.idiv.de)":[137],"including":[138],"preprocessed":[139],"TRY,":[142],"database,":[146],"with":[147],"citizen":[148],"science":[149],"occurrence":[150],"naturgucker.de":[153],"add":[155],"taxonomic":[156],"additional":[158],"information":[159],"multiple":[161],"(e.g.":[163],"Wikidata,":[164],"GBIF,":[165],"OpenElevation,...).":[166],"workflow":[170],"create":[173],"such":[174],"show":[178],"options":[180],"its":[182,238],"management":[183],"using":[184,252],"features":[185],"Ontotext":[187,201],"Refine":[188],"cleaning,":[191],"API":[192],"\\&amp;":[193],"URL":[194],"fetching,":[195],"RDF":[196],"mapping":[197],"export,":[199],"GraphDB":[202],"hosting,":[204],"querying,":[205],"visualization.":[207],"To":[208],"simplify":[209],"graph,":[213],"we":[214],"showcase":[215],"query":[217],"builder":[218],"interface":[219],"that":[220],"allows":[221],"users":[222],"construct":[224],"SPARQL":[225],"queries":[226],"without":[227],"needing":[228],"any":[229],"prior":[230],"domain":[231,244],"knowledge.":[232],"motivate":[234],"our":[235],"work":[236],"application":[239],"contribute":[246],"bridging":[248],"gap":[250],"towards":[251],"semantic":[253],"technologies":[254],"field":[257],"research.":[259]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
