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Heterogen axborot tizimlarini integratsiya qilishning texnik va semantik muammolari

Fan yo'nalishi:Kompyuter fanlariSun'iy intellektAxborot tizimlari
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MAQOLA ANNOTATSIYASI

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Ushbu maqolada heterogen axborot tizimlarini integratsiya qilish jarayonida uchraydigan texnik va semantik muammolar chuqur tahlil qilinib, ularni bartaraf etish uchun sun’iy intellektga asoslangan kompleks yondashuv taklif etiladi. Tadqiqotda ma’lumot formatlari (JSON, XML, CSV, Log) o‘rtasidagi sintaktik nomuvofiqliklar, turli tizimlarning protokollari (HTTP, SOAP, MQTT, gRPC), API endpoint strukturalarining farqlari, autentifikatsiya mexanizmlari va platforma heterogenligi bilan bog‘liq integratsiya muammolari tizimli o‘rganildi. AI asosidagi format aniqlash modeli ma’lumot strukturasini avtomatik tasniflashda yuqori aniqlikka erishdi; ontologiya va NLP asosida semantik moslikni aniqlash algoritmlari atributlar mazmunini 92% aniqlik bilan moslashtira oldi; API/protokol moslashuvi esa tizimlararo aloqaning barqarorligini sezilarli oshirdi. Resurslarni dinamik balanslash modeli CPU, tarmoq kechikishi va yuklanishni optimallashtirish orqali integratsiya jarayonining barqarorligini ta’minladi. Tadqiqot natijalari taklif etilgan metodologiya integratsiya jarayonini 20–40% gacha samarali qilishini ko‘rsatadi va amaliy tizimlarda keng qo‘llanishi mumkin.

MUALLIFLAR

O.Shukurov

"MUHAMMAD AL-XORAZMIY NOMIDAGI TOSHKENT AXBOROT TEXNOLOGIYALARI UNIVERSITETI" DAVLAT MUASSASASI

Teglar

# integratsiya# sun’iy intellekt# NLP# soap# mqtt# heterogen axborot tizimlari# sintaktik moslik# semantik moslik# ontologiya# API mosligi# protokollar# AI yordamida format aniqlash# resurslarni balanslash# taqsimlangan tizimlar# HTTP# gRPC# ma’lumot konversiyasi

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