New Approach To Personal Network Search Based On Information Extraction (Tin180 Com)
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Transcript of New Approach To Personal Network Search Based On Information Extraction (Tin180 Com)
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Personal Social Network— A New Approach to Personal Network Search based on Information Extraction
Jie Tang, Mingcai Hong, Jing Zhang, Bangyong Liang, and Juanzi Li
Knowledge Engineering Group, Department of Computer Science and Technology, Tsinghua University
Sep. 5th, 2006
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Personal Social Network• Personal social network is an important research
area.• A person usually has different types of
information– Personal profile (including portrait, homepage,
position, affiliation, publications, and documents) – Contact information (including address, email,
telephone, and fax number)– Friends
• Unfortunately, the information is often hidden in heterogeneous and distributed web pages
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Our Approach• Personal Social Network = Building + Search + Mining
Doc collectionAnnotation Integration
Person searchPublication searchAssociation search
Expert findingResearch
interesting finding
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Processing Flow
Submitted to Returned pages
Fed to
Extracting and saving to
Ontologybase
Query
Classification Model
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Building the Personal Network
>400,000 Persons>700,000 Publications
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SVMs
Start line model
Two SVM models
End line model
Training data
Test data
Feature extraction
Feature extraction
Identified blocks
Position feature
Positive word feature
...
SVMs
Feature extraction
Position feature
Positive word feature
...
Start line feature set End line feature set
Annotation using SVMsPersonal profile: e.g. image,
affiliation, etc.Contact information: fax, email, phone, etc.
Start position model End position model Identified info.
Features sets
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Person Search
Search for a person using the name or other information,
e.g. affiliation
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Publication Search
Searching for a publication using IR
model
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Publication Online-View
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Association Search
Finding associations between persons - high efficiency - Top-K associations
Usage: - to find a partner - to find a person with same interests
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Expert Finding
Finding experts on a topic
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Research Interest Finding
Finding research interests for a person
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Homepage:
http://keg.cs.tsinghua.edu.cn/persons/tj