{"product_id":"computational-analysis-and-ontology-construction-of-legal-texts-9786209851476","title":"Computational Analysis and Ontology Construction of Legal Texts","description":"\u003cp\u003e • Author(s): Bin Zhang | Manman Cheng\u003cbr\u003e • Publisher: LAP Lambert Academic Publishing\u003cbr\u003e • Publisher Imprint: LAP Lambert Academic Publishing\u003cbr\u003e • BISAC: Sociology - General\u003c\/p\u003e\u003cp\u003eThis research develops a framework for transforming legal texts into knowledge graphs via topic-driven ontology construction, integrating Latent Dirichlet Allocation with OWL\/RDF formalization.Methodology: (1) text preprocessing, (2) LDA-based topic discovery, (3) topic-to-ontology translation, (4) instance mapping, (5) relationship establishment, (6) validation. Technical implementation uses OWL\/RDF for specification and SPARQL for querying.Applications include intelligent legal question-answering, automated conflict detection, and legislative impact analysis. Integration of topic modeling with ontology engineering reduces annotation costs while maintaining fidelity. Domain-specific models (LEGAL-BERT) enhance performance but require expert validation.This work bridges statistical analysis and formal representation, advancing legal infrastructure from documents to graph-based systems.\u003c\/p\u003e","brand":"LAP Lambert Academic Publishing","offers":[{"title":"Paperback","offer_id":47883610980503,"sku":"9786209851476","price":12957.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9786209851476.webp?v=1781102850","url":"https:\/\/atlanticbooks.com\/products\/computational-analysis-and-ontology-construction-of-legal-texts-9786209851476","provider":"Atlantic Books","version":"1.0","type":"link"}