Hybrid Retrieval from the Unified Web

Trivikram Immaneni; Krishnaprasad Thirunarayan

doi:10.1145/1244002.1244293

Hybrid Retrieval from the Unified Web

Trivikram Immaneni, Krishnaprasad Thirunarayan

Wright State University

Research output: Contribution to conference › Presentation

Abstract

The goal of Semantic Web initiative is to make the semantics of Web content accessible to machines. The Semantic Web has been evolving into a web of data separate from the existing HTML web. Our work focuses on establishing and exploiting connections between the two webs, especially hyperlink connections from the HTML web pages to the Semantic Web nodes, so as to enhance both data and document retrieval. We propose the Unified Web model to integrate the two webs, and a hybrid query language to retrieve data and documents from the Unified Web. Specifically, the query language amalgamates graph-based reasoning over RDF with keyword-based search.

Original language	American English
DOIs	https://doi.org/10.1145/1244002.1244293
State	Published - Mar 1 2007
Event	Proceedings of the 2007 ACM Symposium on Applied Computing - Duration: Mar 1 2007 → …

Conference

Conference	Proceedings of the 2007 ACM Symposium on Applied Computing
Period	3/1/07 → …

Keywords

Hierarchical Keyword Matching
Hybrid Query Language
Semantic Search
Semantic Web
Unified Web

Disciplines

Bioinformatics
Communication
Communication Technology and New Media
Computer Sciences
Databases and Information Systems
Life Sciences
OS and Networks
Physical Sciences and Mathematics
Science and Technology Studies
Social and Behavioral Sciences

Access to Document

10.1145/1244002.1244293License: Unspecified

http://dl.acm.org/citation.cfm?id=1244293

Cite this

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title = "Hybrid Retrieval from the Unified Web",

abstract = " The goal of Semantic Web initiative is to make the semantics of Web content accessible to machines. The Semantic Web has been evolving into a web of data separate from the existing HTML web. Our work focuses on establishing and exploiting connections between the two webs, especially hyperlink connections from the HTML web pages to the Semantic Web nodes, so as to enhance both data and document retrieval. We propose the Unified Web model to integrate the two webs, and a hybrid query language to retrieve data and documents from the Unified Web. Specifically, the query language amalgamates graph-based reasoning over RDF with keyword-based search.",

keywords = "Hierarchical Keyword Matching, Hybrid Query Language, Semantic Search, Semantic Web, Unified Web",

author = "Trivikram Immaneni and Krishnaprasad Thirunarayan",

year = "2007",

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doi = "10.1145/1244002.1244293",

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AU - Thirunarayan, Krishnaprasad

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N2 - The goal of Semantic Web initiative is to make the semantics of Web content accessible to machines. The Semantic Web has been evolving into a web of data separate from the existing HTML web. Our work focuses on establishing and exploiting connections between the two webs, especially hyperlink connections from the HTML web pages to the Semantic Web nodes, so as to enhance both data and document retrieval. We propose the Unified Web model to integrate the two webs, and a hybrid query language to retrieve data and documents from the Unified Web. Specifically, the query language amalgamates graph-based reasoning over RDF with keyword-based search.

AB - The goal of Semantic Web initiative is to make the semantics of Web content accessible to machines. The Semantic Web has been evolving into a web of data separate from the existing HTML web. Our work focuses on establishing and exploiting connections between the two webs, especially hyperlink connections from the HTML web pages to the Semantic Web nodes, so as to enhance both data and document retrieval. We propose the Unified Web model to integrate the two webs, and a hybrid query language to retrieve data and documents from the Unified Web. Specifically, the query language amalgamates graph-based reasoning over RDF with keyword-based search.

KW - Hierarchical Keyword Matching

KW - Hybrid Query Language

KW - Semantic Search

KW - Semantic Web

KW - Unified Web

UR - https://corescholar.libraries.wright.edu/knoesis/880

UR - http://dl.acm.org/citation.cfm?id=1244293

U2 - 10.1145/1244002.1244293

DO - 10.1145/1244002.1244293

M3 - Presentation

T2 - Proceedings of the 2007 ACM Symposium on Applied Computing

Y2 - 1 March 2007

ER -

Hybrid Retrieval from the Unified Web

Abstract

Conference

Keywords

Disciplines

Access to Document

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Cite this