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Author:Ihrcke, Erik
Title:Finding semantically similar documents to a given document
Hitta semantiskt relaterade dokument till ett givet dokument
Publication type:Master's thesis
Publication year:2010
Pages:63 + [10]      Language:   eng
Department/School:Informaatio- ja luonnontieteiden tiedekunta
Main subject:Ohjelmistotekniikka   (T-106)
Supervisor:Tarhio, Jorma
Instructor:Löfgren, Peter
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions

Reading digital theses in the closed network of the Aalto University Harald Herlin Learning Centre

In the closed network of Learning Centre you can read digital and digitized theses not available in the open network.

The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/

You can read theses on the Learning Centre customer computers, which are available on all floors.

Logging on to the customer computers

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  • Other customers log on using a shared username and password.

Opening a thesis

  • On the desktop of the customer computers, you will find an icon titled:

    Aalto Thesis Database

  • Click on the icon to search for and open the thesis you are looking for from Aaltodoc database. You can find the thesis file by clicking the link on the OEV or OEVS field.

Reading the thesis

  • You can either print the thesis or read it on the customer computer screen.
  • You cannot save the thesis file on a flash drive or email it.
  • You cannot copy text or images from the file.
  • You cannot edit the file.

Printing the thesis

  • You can print the thesis for your personal study or research use.
  • Aalto University students and staff members may print black-and-white prints on the PrintingPoint devices when using the computer with personal Aalto username and password. Color printing is possible using the printer u90203-psc3, which is located near the customer service. Color printing is subject to a charge to Aalto University students and staff members.
  • Other customers can use the printer u90203-psc3. All printing is subject to a charge to non-University members.
Location:P1 Ark Aalto     | Archive
Keywords:document representation
information retrieval
related documents
keywords
dokument representation
nyckelord
term frekvens
Abstract (eng): Contemporary research on information retrieval is dominated by statistical methods.
Finding related documents to a document is basically an information retrieval problem.
The document in question is equivalent to the search query in information retrieval.

To be able to compare documents, the documents have to be represented in a form that is suitable for comparison.
Information lost in the transformation of a document to a representative form cannot be accessed afterwards.
The representative form has to capture all the main topics and concepts in the document to he successfully used in information retrieval applications.
This thesis will investigate statistical techniques in representing a document and explore ways to compare them.

The environment to search related documents is an idea collaboration tool named Sproodle.
In Sproodle users write short ideas and there is a need to find those ideas that are semantically the closest to the idea.
In Sproodle the ideas are represented as keywords assigned by the author of the ideas.
Related ideas are then computed based on simple keyword comparison.

A prototype solution for generating keywords into the existing Sproodle system was made.
The purpose is to discover if extracted keywords are sufficient for describing the idea.
The prototype for generating keywords is based on Term Frequency - Inverse Document Frequency (TF x IDF).

A coarse study was made to evaluate the effectiveness of the prototype in addition to the authors own judgment.
Abstract (swe): Nutida forskning inom informationssökning domineras av statistiska metoder.
Att hitta relaterade dokument till ett annat dokument är i grunden ett informationssökningsproblem.
Dokumentet i fråga motsvarar sökfrågan i informationssöknings.

För att kunna jämföra dokument måste de vara representerade i en form som lämpar sig för jämförelse.
Information som förloras i omvandlingen av ett dokument till en representativ form går inte att återfås efteråt.
För att kunna användas med framgång i informationssökning måste den representativa formen fånga upp alla viktiga frågorna och begrepp i dokumentet.
Detta diplomarbete kommer att undersöka statistiska tekniker i att representera ett dokument och möjligheterna att jämföra dem.

Omgivningen för att söka relaterade dokument i är ett verktyg för kollaborativ innovering som heter Sproodle.
I Sproodle skriver användaren korta idéer och det finns ett behov av att hitta de idéer som är semantiskt närmast den skrivna iden.
I Sproodle representeras id5erna som sökord som har bestämts av författaren till iden.
Liknande idéer beräknas sedan baserat på jämförelse av enkla sökord.
En prototyp lösning för att skapa sökord gjordes i det existerande Sproodle systemet.
Syftet är att upptäcka om extraherade nyckelord är tillräckliga för att beskriva iden.

Prototypen för att generera sökord baseras sig på term frekvens - invers dokument frekvens (TF x IDF).
I tillägg till författarens egen bedömning gjordes en grov studie för att utvärdera effektiviteten av prototypen.
ED:2010-08-24
INSSI record number: 40249
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