Computer engineering
Extracted text: Problem 1. Define a RDFS file for a hospital that includes three rooms, six doctors, eight patients, and four employees. Also each room has atleast one patient and utmost three patients. Then transform your file with IsaVis tool to graphical model. Problem 2. For this part, open swpub.rdf schema file in Protege then write and execute the following queries with SPARQL language. Attach queries and the output of them in your report. 1 1. Retrieve the titles of all papers that are "articles in a periodical." 2. For all papers written between 2001 and 2005, inclusive, retrieve the title, human-friendly name (i.e., rdfs:label) of the type (e.g., article, book chapter, etc.) and year of the paper. 3. Find all papers that appear in a venue with "ISWC" in the name (using partial string matching), and return a list of title, venue, year and topic label (i.e., not the URI of the topic), sorted by year in descending order, followed by topic in ascending order (for those papers in the same year). 4. For each author, retrieve their name and a count of the number of papers they have authored. Sort the result by author name. You should assume that two authors are the same if and only if their full names match exactly. For sorting purposes, just use the name as it appears, do not worry about first name or last name distinctions. Hint: You need to use specific features of SPARQL 1.1 to do this. Problem 3. Design a family ontology in a manner that it contains only brotherhood, sisterhood, fatherhood and motherhood relationships between its members; then define grandfather, grandmother, aunts, uncles and cousin classes and all possible relationships like 'grandfather is.'. Finally by using the available Reasoner in Protege find all grandfather, grandmother, grandchild, aunts, nephew, niece, uncles, relationships among members in your ontology. Problem 4. Consider figure 1 ontologies, these ontologies are about CE departments' structures in Iran and Australia countries. You should find semantic relationships among entities of ontologies and then merge them. Hint: firstly, extract necessary feautres from them, then do alignment operation in three levels (Terminological, Structural, Extensional). Please note that you should define (precisely or formally) two similarity measures for each category of similarity measures (i.e., teminological, structural,....) and a multi-criteria measure for integrating them. This part of homework is retrieved from "http://www.cse.lehigh.edu/ heflin/courses/sw-2013/"