Einführung in das wissenschaftliche Arbeiten WS 2007/2008 am Institut für Angewandte Informationsverarbeitung und Kommunikationstechnologie

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1 Einführung in das wissenschaftliche Arbeiten WS 2007/2008 am Institut für Angewandte Informationsverarbeitung und Kommunikationstechnologie Nov 26th, 2008 Karl C. Posch 1 Chosen topics 1 Random numbers Szammer Thommesen 2 RFID Privacy Kartnig Lackner 3 Hash collision i search Böhm Berisha Hobl 4 Rijndael AES Außerlechner Wagner 5 SCA Gruß Fuchs 6 Austrian Citizen Card Schneidwind Ebadi 7 Symmetric key size Gebetsroither Kogler 8 Asymmetric key size Niederl Berger 9 Information security handbook Kornsteiner 10 Trusted computing Hotter Pejic 11 Data protection in e Government Wolf Stoßier 12 RFID Pharma Stoilov Purgstaller Walchhütter 13 Blogging Privacy Karas Obid 14 Digital signatures in Austria Priebernig Mikl 15 Electronic identity in Austria Singh Tatschl 2 1

2 Format of paper Similar to ACM Transactions Document preparation LaTeX MS Word (any other) Download style files from EWA-web 3 LaTeX style for ACM Transactions example_paper_ewa_kcp.tex your text acmtrans2m_ewa.cls cls style file example_bibliography_ewa_kcp.bib your bibliography acmtrans.bst bib style file 4 2

3 instruction.ms_word template.ms_wordms With Microsoft Word 5 Roadmap 1/3 Today: 26 November Start with collecting sources, selecting sources, and crafting a mindmap. Lecture KCP: Language 1/2 Friday: 28 November Talk Ian Witten! 6 3

4 Roadmap 2/3 3 Dezember Lecture KCP: Language 2/2 Deadline Mindmap ( to karl.posch@iaik.tugraz.at) Deadline for choosing date of presentation. First come first serve. ( to karl.posch@iaik.tugraz.at) 10 Dezember Lecture KCP on how to present. Deadline to hand in annotated and qualified list of sources for your paper ( to karl.posch@iaik.tugraz.at) 7 7 January no class Roadmap 3/3 14 January (120 minutes = 9*15 minutes) 9 presentations 21 January (120 minutes = 9*15 minutes) 9 presentations Deadline for handing in your paper ( to karl.posch@iaik.tugraz.at) 28 January (120 minutes = 9*15 minutes) 9 presentations 8 4

5 28 Nov., 11-12: Lecture by Prof. Witten 28 November, 11-12: Lecture by Prof. Witten, University of Waikato, New Zealand: Semantic document processing using Wikipedia as a knowledge base We will all go together. You must answer some questions 9 Questions Print and answer during talk (28 Nov, 11 Uhr) How did he convince you his topic is important? (Did he?) Did his talk have structure? What structure? How do you know about the structure? How does he transition from one chapter to the next? Does he repeat himself? Is he talking about many different things, or just one thing? When he talks about details, is it clear why he is telling you? How does he make it clear? How fast does he speak? Speaker & Audience Do you get the feeling he is talking to you? Is there interaction with the audience? Does he care about the audience? How can you tell? How does he stress important points? Is he enthusiastic? How do you know? Do you like his slide design? Why? Is he a good speaker? Why? 10 5

6 Vortragender: Professor Ian Witten, University of Waikato, New Zealand Titel: Semantic document processing using Wikipedia as a knowledge base Ort und Zeit: HS I11, Inffeldgasse 16b, UG; , 11:00 c.t. Abstract: Wikipedia is a goldmine of information; not just for its many readers, but also for the growing community of researchers who recognize it as a resource of exceptional scale and utility. It represents a vast investment of manual effort and judgment: a huge, constantly evolving tapestry of concepts and relations that is being applied to a host of tasks. This talk will introduce the process of "wikification"; that is, automatically and judiciously augmenting a plain-text document with pertinent hyperlinks to Wikipedia articles -- as though the document were itself a Wikipedia article. This amounts to a new semantic representation of text in terms of the salient concepts it mentions, where "concept" is equated to "Wikipedia article." Wikification is a useful process in itself, adding value to plain text t documents. More importantly, it supports new methods of document processing. We first describe how Wikipedia can be used to determine semantic relatedness, and then introduce a new, high-performance method of wikification that exploits Wikipedia's 60 M internal hyperlinks for relational information and their anchor texts as lexical information, using simple machine learning. We discuss applications to knowledge- based information retrieval, topic indexing, document tagging, and document clustering. Some of these perform at human levels. For example, on CiteULike data, automatically extracted tags are competitive with tag sets assigned by the best human taggers, according to a measure of consistency with other human taggers. All our work uses English, but involves no syntactic parsing, so the techniques are largely language independent. The talk will include several live demos (Deo volente). All code produced by this project is open source. 11 Professional communication Writing Reading and Talking Listening Topic: What? Information security Purpose: Why? To inform, to persuade Constraints: Grammar, format Style: Structure: Organisation, Transition, Depth, Emphasis The use of language Illustrations Process of preparation: Planning, drafting, editing, finishing. 12 6

7 A valuable source: