Ranking for Web Data Search Using On-The-Fly Data Integration

Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the...

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প্রধান লেখক: Herzig, Daniel Markus
বিন্যাস: Online
ভাষা:ইংরেজি
প্রকাশিত: KIT Scientific Publishing 2021
বিষয়গুলি:
অনলাইন ব্যবহার করুন:34452
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author Herzig, Daniel Markus
author_browse Herzig, Daniel Markus
author_facet Herzig, Daniel Markus
author_sort Herzig, Daniel Markus
collection Directory of Open Access Books
description Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the goal to improve the effectiveness of search. We propose new solutions for ranking using on-the-fly data integration and experimentally analyze and evaluate them against the latest baselines.
format Online
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-576102023-12-20T18:40:52Z Ranking for Web Data Search Using On-The-Fly Data Integration Herzig, Daniel Markus QA75.5-76.95 search information retrieval web data semantic search bic Book Industry Communication::U Computing & information technology::UY Computer science Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the goal to improve the effectiveness of search. We propose new solutions for ranking using on-the-fly data integration and experimentally analyze and evaluate them against the latest baselines. 2021-02-12T00:48:41Z 2021-02-12T00:48:41Z 2019-07-30 20:01:58 2014 book 34452 9783731501367 https://directory.doabooks.org/handle/20.500.12854/57610 eng image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731501367 KIT Scientific Publishing 10.5445/KSP/1000037230 10.5445/KSP/1000037230 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731501367 VII, 202 p. open access
spellingShingle QA75.5-76.95
search
information retrieval
web data
semantic search
bic Book Industry Communication::U Computing & information technology::UY Computer science
Herzig, Daniel Markus
Ranking for Web Data Search Using On-The-Fly Data Integration
title Ranking for Web Data Search Using On-The-Fly Data Integration
title_full Ranking for Web Data Search Using On-The-Fly Data Integration
title_fullStr Ranking for Web Data Search Using On-The-Fly Data Integration
title_full_unstemmed Ranking for Web Data Search Using On-The-Fly Data Integration
title_short Ranking for Web Data Search Using On-The-Fly Data Integration
title_sort ranking for web data search using on the fly data integration
topic QA75.5-76.95
search
information retrieval
web data
semantic search
bic Book Industry Communication::U Computing & information technology::UY Computer science
topic_facet QA75.5-76.95
search
information retrieval
web data
semantic search
bic Book Industry Communication::U Computing & information technology::UY Computer science
url 34452
work_keys_str_mv AT herzigdanielmarkus rankingforwebdatasearchusingontheflydataintegration