مطالب

We present FarsWikiKG, a Persian knowledge graph extracted from Wikipedia. Wikipedia infoboxes have been used as a valuable resource for building knowledge graphs in recent years. FarsWikiKG consists of more than 2 million entities, as well as 5.7 million facts about the entities. Using Wikidata, we constructed an ontology with more than 6000 classes representing entity types. As the second Persian knowledge graph, which has the ability of self-update, FarsWikiKG shows improvement on NLP tasks, especially question answering systems. Although FarsWikiKG is a dynamic knowledge graph, our evaluation shows a coverage of 90% on Persian Wikipedia pages. As Wikipedia information is constantly changing, a fixed knowledge graph can provide unstable data to the user. The proposed system, in addition to solving the problem of unstable data, reduces the need for experts to extract and construct knowledge graphs manually. Storing information in RDF as a standard method of storing knowledge graph information, FarsWikiKG allows NLP systems to run SPARQL queries on it.

INTRODUCTION: Tehran is always exposed to various dangers due to its high population density. A geographic information system (GIS) can be very useful for reducing the financial and human burden caused by accidents, disasters, and diseases. METHODS: This field study was performed using a practical and descriptive research method. The pre-hospital emergency bases in the east of Tehran province and all the emergency bases covered by Shahid Beheshti University of Medical Sciences in disasters were evaluated as a case study. The population of these cities amounted to 1,149,485 people and included cities in the east of Tehran province, Iran, including Damavand, Firoozkooh, Pakdasht, Pishva, Qarchak, and Varamin. FINDINGS: Rational maps were created and analyzed in the areas where emergency bases were located using ArcGIS software, as well as analysis of regions, distances, point density, and a combination of these factors. Regarding the standards and indicators, it was determined that the Disaster and Emergency Medical Management Center needs to have130 emergency medical technicians, 23 ambulances, and one ambulance bus to equip the exiting emergency bases according to the standard pre-hospital regulations. Other requirements in this regard include the replacement of worn-out ambulances with new ones, construction of two emergency bases in Qarchak, Tehran, Iran, and three emergency bases in Pakdasht, Tehran, Iran, as well as the transfer of bases in the proximity of faults and flood-prone areas to safe places. CONCLUSION: Based on the obtained results, a comprehensive pre-hospital database was designed for the use of managers and officials in the occurrence of accidents, which might be used as a pilot work that can be expanded to other areas of Tehran, Iran, and other provinces in managing disasters and accidents.