Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/52281
Title: Mining with myriads of internet data
Authors: Murugasamy, Harish.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Issue Date: 2013
Abstract: Ever since the Internet was open to common people, there has been an explosive growth of content on the web. Wikipedia alone holds information about more than four million topics. While it is sufficient at the person-level, the huge amount of data available in the web can be combined together from different corners and be used in internet-scale applications that can recognize patterns about world. In-order for this to be made real, topics on the internet should be made easily distinguishable from one another and should not rely on keywords. Freebase aims to assign a unique ID to each topic on the web much like how a bar-code is used on retail products. Since Freebase is manually created, it often lacks complete information. This project aims at filling one of those gaps and move a step closer to a complete knowledge base.
URI: http://hdl.handle.net/10356/52281
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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