PPT-The use of an intelligent forum crawler for data retrieval from e-learning portals

Miloš Pavković and J elica P roti ć University of Belgrade School of Electrical Engineering Belgrade Serbia 6th International Conference on Education and New Learning . CSC 575. Intelligent Information Retrieval. Intelligent Information Retrieval. 2. Retrieval Models. Model is an idealization or abstraction of an actual process. in this case, process is matching of documents with queries, i.e., retrieval. Undergraduate Researchers:. Graduate Student Mentor:. Faculty Mentor:. Jordan Cowart, Katie Allmeroth. Krist. . Culmer. Dr. . Wenjun. (Kevin) Zeng. A centrality measure to quantify social capital in a network. Padmini Srinivasan . Computer Science Department . Department of Management Sciences. http://. cs.uiowa.edu. /. ~. psriniva. padmini-srinivasan@uiowa.edu. Basics. What is a crawler?. HTTP client software that sends out an HTTP request for a page and reads a . Ms. . Poonam. Sinai . Kenkre. content. What is a web crawler?. Why is web crawler required?. How does web crawler work?. Crawling strategies. Breadth first search traversal. depth first search traversal. The portals allow us to manipulate the player’s location seamlessly. Throughout the asylum, hidden portals are used to confuse, trap, and disorient the player. The portals themselves act like a hole cut into the view, and the image from a corresponding portal camera is displayed in the empty space. Through tricky camera work and careful alignment, the portal camera orbits the portals exit point, displaying an uninterrupted view for the player.. CSC . 575. Intelligent Information Retrieval. 2. Source: . Intel. How much information?. Google: . ~100 . PB a . day; 3+ million servers (15 . Exabytes. stored). Wayback Machine has . ~9 . PB + . 100 . CSC 575. Intelligent Information Retrieval. Intelligent Information Retrieval. 2. Indexing. Indexing is the process of transforming items (documents) into a searchable data structure. creation of document surrogates to represent each document. Ms. . Poonam. Sinai . Kenkre. content. What is a web crawler?. Why is web crawler required?. How does web crawler work?. Crawling strategies. Breadth first search traversal. depth first search traversal. Web . Search. and . Mining. Web . Crawling. Ch. 8: Web Crawling. By . Filippo. . Menczer. Indiana University School of Informatics. in . Web Data Mining. by Bing Liu . Springer, . 20. 10. Outline. Matthew Hurst. Alexey Maykov. Live Labs, Microsoft. Requirements. Timeliness. Coverage. Scale. Data Quality. Crawling Options. Firehose. Six Apart. Word Press $$$. Feeds. Feeds. Ping servers. Static List of Feeds. CiteSeerX. Jian Wu. IST 441 (Spring 2016) invited talk. OUTLINE. Crawler in the . CiteSeerX. architecture. Modules in the crawler. Hardware. Choose the right crawler. Configuration. Crawl Document Importer. and Indexing Models. CSC 575. Intelligent Information Retrieval. Information. need. Index. Pre-process. Parse. Collections. Rank. Query. text input. Lexical analysis and stop words. Result. Sets. How is. Filippo. . Menczer. @. Indiana . University School of . Informatics in . Web Data Mining. by Bing Liu . 1. Outline. Motivation and taxonomy of crawlers. Basic crawlers and implementation issues. Universal crawlers. SEO SUCESS FACTORS FOR SMEs.  . Daisy Alondra Cortez, Nathaly Taiz Leon, Sydney Taylor Jue, Tiara Francis Smith.   . Visual Studio Code. Used for development for the web interface. VSC has a great deal of extensions prebuilt into the application so we can use it for multiple languages.