Okan Bursa

dblp:121/2874 · DBLP profile ↗
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4ranked-venue papers
2as first author
2since 2021 · last 2026
0000-0002-5958-0279ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 4 · 2 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 4 · 2 first-author · 2 since 2021
YearPublicationVenuePosition
2026 Adapted KoGNER: A Knowledge-Augmented Architecture for Biomedical Named Entity Recognition
Ayse Nur Durmaz, Okan Bursa
COMPSAC2
2026 PharyTriFuse: Knowledge- and LLM-Augmented Deep Learning for Bacterial Pharyngitis Detection from Smartphone Throat Images
Ömer Atilim Koca, Murat Uçar, Okan Bursa
COMPSAC3
2017 Blood.Health.FOAF: Extending FOAF with Blood Ontology
abstract
Blood is the life in our vessels. It makes up the 8% of our body weight. Loss of blood from 750 ml to 2000 ml is enough to enter us to shock condition due to loss of circulating volume. In situations like these, urgent blood transfusion needs to be handled with extensive care. Not all emergency services may have haematology experts, a good helper application with blood transfusion rules that also determines the possible donors for each patient is necessary. In this paper, we present blood ontology that is an extension of FOAF ontology to serve as a core service of blood transfusion process. We had researched the possible blood transfusion rules of different health organization all over the world and highlight the blood transfusion rules. These rules are embedded to a ontology structure includes blood, FOAF and Relationship ontologies. This ontology structure not only serves as storage for patient and donor information, but also as a knowledge extraction structure to determine the possible donors and help doctors in treatment.
Okan Bursa, Emine Sezer, Özgü Can, Murat Osman Ünalir
COMPSAC (2)1
2012 User Profiling for Policy Management in Social Communities
abstract
User profiles are personal images of social community users. Users store and share their documents and express themselves with their personal information. In social community, user may also need to describe herself with more than one image and more than one user profile. Today's user profiling methodologies do not support such multi-role based profile management. We develop a new profiling methodology to create user profiles and a profile based policy management model to use personal profiles with policies for better personalization and better social networking control. We present a framework to store and use social community policies based on personal profiles to increase the efficiency of user policy management
Okan Bursa, Özgü Can, Murat Osman Ünalir
COMPSAC1