Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/593550
Title: Linking model for heterogeneous information network
Researcher: Mythrei, S
Guide(s): Singaravelan, S
Keywords: Computer Science
Computer Science Interdisciplinary Applications
Engineering and Technology
information network
matching entities
University: Anna University
Completed Date: 2024
Abstract: Entity-linking research is a linking process of mentioned named entities from the text with their appropriate semantic meaning-matching entities in the knowledge base. In order to deal with the data growth there is a tool such as knowledge base is highly needed while addressing the development in data. As knowledge base make it feasible to represent abstract ideas enabling the well-structured information for the representation of actual entities and their relations in this real world becomes very important. Most of the studies are based on general knowledge bases such as Wikipedia and DBPedia. The studies also depend upon the features existing in the Wikipedia-derived knowledge bases. The information in many knowledge bases has an interconnection of multiple types of data objects along with various kinds of connections that are interacting among them. These kinds of knowledge bases are Heterogeneous Information Networks (HIN). The domain-based knowledge bases are represented as heterogeneous information networks. newline
Pagination: xvii,149p.
URI: http://hdl.handle.net/10603/593550
Appears in Departments:Faculty of Information and Communication Engineering

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02_prelim_pages.pdf1.28 MBAdobe PDFView/Open
03_contents.pdf14.46 kBAdobe PDFView/Open
04_abstract.pdf8.8 kBAdobe PDFView/Open
05_chapter1.pdf276.17 kBAdobe PDFView/Open
06_chapter2.pdf214.77 kBAdobe PDFView/Open
07_chapter3.pdf331.84 kBAdobe PDFView/Open
08_chapter4.pdf1.06 MBAdobe PDFView/Open
09_chapter5.pdf546.22 kBAdobe PDFView/Open
10_chapter6.pdf791.52 kBAdobe PDFView/Open
11_annexures.pdf140.91 kBAdobe PDFView/Open
80_recommendation.pdf70.49 kBAdobe PDFView/Open
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