2. Company LOGO Peer To Peer Full Text Search Authors : Tanya Finkel, Victor Antonov Advisor: Maxim Gurevich

3. Problem Description Sometimes we need to find some document. We solve this problem by using peer to peer. It’s good to search by looking through it, not only looking at its name. Here comes the Full Text Search, but it runs locally only. Not Enough Results!!!

4. Local Search Definition - this is the name for the field of search tools which search the contents of a user's own computer files. Full Text Search – is a search, which engine examines all of the words in every stored document as it tries to match search words supplied by the user. Let’s see what Full Text Searches we have for today

5. 1.Egothor - Impressive,and it’s worth a look. Key features include: HTML, PDF, PS…. 2.Carrot2 - is a research framework for experimenting with automated querying of various data sources, processing search results and their visualization. 3. MG4J - build compressed full-text indices for large collections of documents using sophisticated techniques such as interpolative coding. 4. OpenGrok - It can understand various program file formats and version control histories like SCCS, RCS, CVS and Subversion. Local Search 5. Lucene - The de-facto open source search index used almost everywhere. Features include Ranked searching, boolean and phrase queries, fielded searching and date-range searching.

6. Peer To peer A peer to peer (or "P2P") computer network uses diverse connectivity between participants in a network and the cumulative bandwidth of network. Rather than conventional centralized resources where a relatively low number of servers provide the core value to a service or application. P2P networks are typically used for connecting nodes via largely ad hoc connections.

7. Project Distribution 1. GUI 3.a. Local Full Text Search 3.a. Local Full Text Search 2. System Management 3. b. Network Extension 3. b. Network Extension

8. Local Full Text Search And Network Extension Lucene-Indexation and Search on local hardware JXTA –Dynamic group management of subscribes and communication between them. 1. GUI 2. System Management 3.a. Local Full Text Search 3.a. Local Full Text Search 3. b. Network Extension 3. b. Network Extension

9. Use case Diagram 1. GUI 2. System Management 3.a. Local Full Text Search 3.a. Local Full Text Search 3. b. Network Extension 3. b. Network Extension

10. Local Search-merging algorithm 1. GUI 2. System Management 3.a. Local Full Text Search 3.a. Local Full Text Search 3. b. Network Extension 3. b. Network Extension Lucene scores are depend on the local host document, In the two different host you will return two different score for the same document. 1. For each document count number of words referred to query. 2. If number of words in Local search document bigger than Number of words in network search document Then: local search document will before Network search document in the list. Otherwise: back ward.

11. Local Search-snippet algorithm 1. GUI 2. System Management 3.a. Local Full Text Search 3.a. Local Full Text Search 3. b. Network Extension 3. b. Network Extension 1. Look for whole query 2. If not enough sentences was found search for each word separatly. If number of maxSentence <numberOffound sentences or number of max Words<number of found word Then stop the search If not found sentences then “no snippet available”

12. Local Search-Class Diagram 1. GUI 2. System Management 3.a. Local Full Text Search 3.a. Local Full Text Search 3. b. Network Extension 3. b. Network Extension

13. Local Search Class Diagram 1. GUI 2. System Management 3.a. Local Full Text Search 3.a. Local Full Text Search 3. b. Network Extension 3. b. Network Extension

14. Network search algorithm 1. GUI 2. System Management 3.a. Local Full Text Search 3.a. Local Full Text Search 3. b. Network Extension 3. b. Network Extension a)Searching the query in local history, if there’re no results in history cash, the search is as local search (see local search). b) After searching the filtration is performed (removes results that not for public view). c) In this step we have a Vector of Results that we transform into Vector of NetworkResults. To each NetworkResult we add current peer ID, so in the future we can download from this peer a result file. d) Now the peer (program) connects to the NRS from where the order came and sends the Vector of NetworkResults when connection is established.

15. Network search class diagram 1. GUI 2. System Management 3.a. Local Full Text Search 3.a. Local Full Text Search 3. b. Network Extension 3. b. Network Extension

16. Network search class diagram 1. GUI 2. System Management 3.a. Local Full Text Search 3.a. Local Full Text Search 3. b. Network Extension 3. b. Network Extension

17. Demonstration 1. GUI 2. System Management P2PFTS Tesla Local SearchNetwork Search File View Options About C:\People\NikolaTeslaBiography.pdf Tesla is best known for many revolutionary contributions in the field of electricity and magnetism in the late 19th and early 20th centuries. … C:\music\Tesla.peaceOfTime.mp3 Remote: WardenclyffeProject.doc The Tesla Wardenclyffe Project -- Established to preserve Wardenclyffe, the century-old laboratory of electrical pioneer Nikola Tesla, located in Shoreham,... 3.a. Local Full Text Search 3.a. Local Full Text Search 3. b. Network Extension 3. b. Network Extension