{"id":"https://openalex.org/W7127595790","doi":"https://doi.org/10.48550/arxiv.2602.03439","title":"Ontology-to-tools compilation for executable semantic constraint enforcement in LLM agents","display_name":"Ontology-to-tools compilation for executable semantic constraint enforcement in LLM agents","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7127595790","doi":"https://doi.org/10.48550/arxiv.2602.03439"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.03439","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.03439","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.2602.03439","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125078027","display_name":"Xiaochi Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhou, Xiaochi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125039573","display_name":"Patrick Bulter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bulter, Patrick","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125072576","display_name":"Changxuan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Changxuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068425730","display_name":"Simon D. Rihm","orcid":"https://orcid.org/0000-0001-8342-7269"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rihm, Simon D.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125006852","display_name":"Thitikarn Angkanaporn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Angkanaporn, Thitikarn","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065920425","display_name":"Jethro Akroyd","orcid":"https://orcid.org/0000-0002-2143-8656"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akroyd, Jethro","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057821475","display_name":"Sebastian Mosbach","orcid":"https://orcid.org/0000-0001-7018-9433"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mosbach, Sebastian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5062571604","display_name":"Markus Kraft","orcid":"https://orcid.org/0000-0002-4293-8924"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kraft, Markus","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5125078027"],"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.18150000274181366,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.18150000274181366,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.1054999977350235,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.07569999992847443,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/executable","display_name":"Executable","score":0.7023000121116638},{"id":"https://openalex.org/keywords/symbolic-execution","display_name":"Symbolic execution","score":0.4320000112056732},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.43149998784065247},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.41350001096725464},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3880999982357025},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.3847000002861023},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.37529999017715454},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3693999946117401},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.36230000853538513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8185999989509583},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.7023000121116638},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.6177999973297119},{"id":"https://openalex.org/C2779639559","wikidata":"https://www.wikidata.org/wiki/Q7661178","display_name":"Symbolic execution","level":3,"score":0.4320000112056732},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.43149998784065247},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40310001373291016},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.38830000162124634},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3880999982357025},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C146499914","wikidata":"https://www.wikidata.org/wiki/Q5469969","display_name":"Formal semantics (linguistics)","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3246000111103058},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C156325763","wikidata":"https://www.wikidata.org/wiki/Q1930895","display_name":"Operational semantics","level":3,"score":0.30239999294281006},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C116253237","wikidata":"https://www.wikidata.org/wiki/Q1437424","display_name":"Formal specification","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C2775851571","wikidata":"https://www.wikidata.org/wiki/Q6045205","display_name":"Interaction protocol","level":3,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.03439","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.03439","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.2602.03439","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.03439","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"ontology-to-tools":[2],"compilation":[3],"as":[4,114],"a":[5,136],"proof-of-principle":[6],"mechanism":[7],"for":[8,139],"coupling":[9],"large":[10],"language":[11],"models":[12],"(LLMs)":[13],"with":[14],"formal":[15,141],"domain":[16],"knowledge.":[17],"Within":[18],"The":[19],"World":[20],"Avatar":[21],"(TWA),":[22],"ontological":[23,122],"specifications":[24],"are":[25,67],"compiled":[26],"into":[27,91,143],"executable":[28,121],"tool":[29],"interfaces":[30],"that":[31],"LLM-based":[32],"agents":[33,66],"must":[34],"use":[35],"to":[36,98],"create":[37],"and":[38,64,83,94,101,128,132],"modify":[39],"knowledge":[40,72,104,142],"graph":[41,73],"instances,":[42],"enforcing":[43],"semantic":[44,55],"constraints":[45],"during":[46],"generation":[47],"rather":[48],"than":[49],"through":[50],"post-hoc":[51],"validation.":[52],"Extending":[53],"TWA's":[54],"agent":[56],"composition":[57],"framework,":[58],"the":[59,71],"Model":[60],"Context":[61],"Protocol":[62],"(MCP)":[63],"associated":[65],"integral":[68],"components":[69],"of":[70],"ecosystem,":[74],"enabling":[75],"structured":[76,103],"interaction":[77],"between":[78],"generative":[79,144],"models,":[80],"symbolic":[81],"constraints,":[82],"external":[84],"resources.":[85],"An":[86],"agent-based":[87],"workflow":[88],"translates":[89],"ontologies":[90],"ontology-aware":[92],"tools":[93],"iteratively":[95],"applies":[96],"them":[97],"extract,":[99],"validate,":[100],"repair":[102],"from":[105],"unstructured":[106],"scientific":[107],"text.":[108],"Using":[109],"metal-organic":[110],"polyhedra":[111],"synthesis":[112],"literature":[113],"an":[115],"illustrative":[116],"case,":[117],"we":[118],"show":[119],"how":[120],"semantics":[123],"can":[124],"guide":[125],"LLM":[126],"behaviour":[127],"reduce":[129],"manual":[130],"schema":[131],"prompt":[133],"engineering,":[134],"establishing":[135],"general":[137],"paradigm":[138],"embedding":[140],"systems.":[145]},"counts_by_year":[],"updated_date":"2026-02-06T02:05:47.483045","created_date":"2026-02-06T00:00:00"}
