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Statistical inference links data and theory in network science
The number of network science applications across many different fields has been rapidly
increasing. Surprisingly, the development of theory and domain-specific applications often …
increasing. Surprisingly, the development of theory and domain-specific applications often …
Ontology population and enrichment: State of the art
Ontology learning is the process of acquiring (constructing or integrating) an ontology (semi-
) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes …
) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes …
[書籍][B] Principles of data integration
Principles of Data Integration is the first comprehensive textbook of data integration,
covering theoretical principles and implementation issues as well as current challenges …
covering theoretical principles and implementation issues as well as current challenges …
[書籍][B] Probabilistic graphical models: principles and techniques
D Koller, N Friedman - 2009 - books.google.com
A general framework for constructing and using probabilistic models of complex systems that
would enable a computer to use available information for making decisions. Most tasks …
would enable a computer to use available information for making decisions. Most tasks …
Low-resource deep entity resolution with transfer and active learning
Entity resolution (ER) is the task of identifying different representations of the same real-
world entities across databases. It is a key step for knowledge base creation and text mining …
world entities across databases. It is a key step for knowledge base creation and text mining …
Duplicate record detection: A survey
Often, in the real world, entities have two or more representations in databases. Duplicate
records do not share a common key and/or they contain errors that make duplicate matching …
records do not share a common key and/or they contain errors that make duplicate matching …
[PDF][PDF] A Comparison of String Distance Metrics for Name-Matching Tasks.
Using an open-source, Java toolkit of name-matching methods, we experimentally compare
string distance metrics on the task of matching entity names. We investigate a number of …
string distance metrics on the task of matching entity names. We investigate a number of …
[書籍][B] Introduction to statistical relational learning
Advanced statistical modeling and knowledge representation techniques for a newly
emerging area of machine learning and probabilistic reasoning; includes introductory …
emerging area of machine learning and probabilistic reasoning; includes introductory …
Information extraction
S Sarawagi - Foundations and Trends® in Databases, 2008 - nowpublishers.com
The automatic extraction of information from unstructured sources has opened up new
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …
Link mining: a survey
L Getoor, CP Diehl - Acm Sigkdd Explorations Newsletter, 2005 - dl.acm.org
Many datasets of interest today are best described as a linked collection of interrelated
objects. These may represent homogeneous networks, in which there is a single-object type …
objects. These may represent homogeneous networks, in which there is a single-object type …