loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Author: Zachary Mason

Affiliation: Brandeis University, United States

ISBN: 978-972-8865-78-8

Keyword(s): Corpus linguistics, semantic search, query refinement, semantic modeling.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Ontologies and the Semantic Web ; Personalized Web Sites and Services ; Searching and Browsing ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Personalization

Abstract: This paper describes a system for doing contextually-steered web search. The system is based on a method for estimating the semantic relevance of a web page to a query. Consider doing a web search for conferences about web search. The query “search conferences” is not effective, as it produces results relevant for the most part to searching over conferences, rather than conferences on the topic of search. The system described in this paper enables queries of the form “search conference context:pagerank”. The context field in this example specifies a preference for results semantically relevant to the term “pagerank”, although there is no requirement that said results contain the word “pagerank” itself. This a more semantic, less lexical way of refining the query than adding literal conjuncts. Contextual search, as implemented in this paper, is based on the Google (Google) search engine. For each query, the top one hundred search results are fetched from Google and sorted according to their relevance to the context query. Relevance is computed as a distance function between the vocabulary vectors associated with a web-page and a query. For queries, the vocabulary vector is formed by aggregating the web-pages in the search results for that query. For web-pages, the vocabulary vector is aggregated from that web-page and other web-pages nearby in link-space. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.233.219.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Mason Z. and (2007). AUGMENTING SEARCH WITH CORPUS-DERIVED SEMANTIC RELEVANCE.In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-972-8865-78-8, pages 367-371. DOI: 10.5220/0001259403670371

@conference{webist07,
author={Zachary Mason},
title={AUGMENTING SEARCH WITH CORPUS-DERIVED SEMANTIC RELEVANCE},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2007},
pages={367-371},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001259403670371},
isbn={978-972-8865-78-8},
}

TY - CONF

JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - AUGMENTING SEARCH WITH CORPUS-DERIVED SEMANTIC RELEVANCE
SN - 978-972-8865-78-8
AU - Mason, Z.
PY - 2007
SP - 367
EP - 371
DO - 10.5220/0001259403670371

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.