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Web Data Management Course |
Course Outline
This course aims to enrich students with methodologies and techniques needed for gathering, storing, mining, analyzing, and providing access to data; to help them develop modern search engines, no-SQL databases, web information systems, and integrated services. The main topics that will be addressed in this course includes: (i) Tree data models: XML, XML Scheme and DTD, XML parsing, style sheets, XPath and XQuery; (ii) Graph data models and semantics: RDF, RDFS, OWL, SPARQL, graph databases and RDF stores; (iii) Data integration and retrieval scenarios: architectural solutions for the integration issues, schema-based integration, GAV and LAV integration, data fusion, web data mashups applications, data identity management, Data Web, Linked Data, RDFa, and social open-graphs, modern search engines, and indexing huge datasets.
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Part I : Tree Data Models:
![]() By: Hanna Bullata |
![]() By: Hanna Bullata |
![]() By: Hanna Bullata |
![]() By: Hanna Bullata |
![]() By: Hanna Bullata |
Part II : Graph data models and Semantics
![]() By: Mustafa Jarrar | ![]() By: Mustafa Jarrar | ![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
Part III : Data Integration & Retrieval
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
![]() By: Mustafa Jarrar |
Part IV : Research Papers
Each group of students should write a synthesis paper about one of the following topics. Each is expected to present the state of art in a certain topic, and to compare and link different approaches and technologies in that topic. Students' opinions are very important to be presented as well.
Each paper should must be between 5 and 10 pages. The surveyed literature must consider five articles published at these conferences (VLDB, ICDE, SIGMOD, WWW) and in the recent three years.
Citing websites and Wikis is allowed but should be limited; Again, the paper should NOT be a summary of others’ papers, but rather, it should represent your (own) opinion -and your opinion should reflect the state-of-art in research and possible applications related to the selected topic. The highest mark will be given to students who (i) cite the most important research and applications related to the topic, (ii) give better criticism and comparison on these paper, and present innovative ideas and solutions, and (iii) his/her English and writing style is perfect.
The paper should be written in this template:
https://dl.dropbox.com/u/7531499/KnowEng12.SynthesisPaper.YourName.v1.doc
Topics:
1- Big Data - Challenges and New Trends. by Eman Karajah, Luay Nassourah, and Mahdi Hamdan Download (Paper, Presentation)
2- NoSQL Databases -Challenges and New Trends. by Dima Taji, Fayez Shayeb, Nagham Ghanim Hamad, and Hamza Z. Obaydallah Download (Paper, Presentation)
3- Querying Graph Databases -Challenges and New Trends. by Mohammad Zainelden, Ahmad Zaidan, and Ahmad Alia Download (Paper, Presentation)
4- Parallel and Distributed Processing of Big Data -Challenges and New Trends. by Diyam Fuad and Abed Tahseen Othman Download (Paper, Presentation)
5- Social-networks Data Analysis -Challenges and New Trends. by Haneen Droubi, Abdulfattah Safa, and Sharehan Bassam. Download (Paper, Presentation)
6- Structured Data in Search Engines -Challenges and New Trends. by Asma Al-Bargouthi and Nader Abulhalaweh Download (Paper, Presentation)
7- Spatial and GIS Data Management -Challenges and New Trends. by Jamal Jalal Qazzouh and Abdeljawwad Adel Daas Download (Paper, Presentation)
Nice post
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ReplyDeleteHi Mustafa,
ReplyDeleteAre you providing any online courses like PMP Certification