License: 
Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.SLATE.2019.1
URN: urn:nbn:de:0030-drops-108686
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10868/
Devezas, José ;
Lopes, Carla ;
Nunes, Sérgio
Graph-of-Entity: A Model for Combined Data Representation and Retrieval
Abstract
Managing large volumes of digital documents along with the information they contain, or are associated with, can be challenging. As systems become more intelligent, it increasingly makes sense to power retrieval through all available data, where every lead makes it easier to reach relevant documents or entities. Modern search is heavily powered by structured knowledge, but users still query using keywords or, at the very best, telegraphic natural language. As search becomes increasingly dependent on the integration of text and knowledge, novel approaches for a unified representation of combined data present the opportunity to unlock new ranking strategies. We tackle entity-oriented search using graph-based approaches for representation and retrieval. In particular, we propose the graph-of-entity, a novel approach for indexing combined data, where terms, entities and their relations are jointly represented. We compare the graph-of-entity with the graph-of-word, a text-only model, verifying that, overall, it does not yet achieve a better performance, despite obtaining a higher precision. Our assessment was based on a small subset of the INEX 2009 Wikipedia Collection, created from a sample of 10 topics and respectively judged documents. The offline evaluation we do here is complementary to its counterpart from TREC 2017 OpenSearch track, where, during our participation, we had assessed graph-of-entity in an online setting, through team-draft interleaving.
BibTeX - Entry
@InProceedings{devezas_et_al:OASIcs:2019:10868,
author = {Jos{\'e} Devezas and Carla Lopes and S{\'e}rgio Nunes},
title = {{Graph-of-Entity: A Model for Combined Data Representation and Retrieval}},
booktitle = {8th Symposium on Languages, Applications and Technologies (SLATE 2019)},
pages = {1:1--1:14},
series = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-95977-114-6},
ISSN = {2190-6807},
year = {2019},
volume = {74},
editor = {Ricardo Rodrigues and Jan Janousek and Lu{\'\i}s Ferreira and Lu{\'\i}sa Coheur and Fernando Batista and Hugo Gon{\c{c}}alo Oliveira},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/10868},
URN = {urn:nbn:de:0030-drops-108686},
doi = {10.4230/OASIcs.SLATE.2019.1},
annote = {Keywords: Entity-oriented search, graph-based models, collection-based graph}
}
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Keywords: |
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Entity-oriented search, graph-based models, collection-based graph |
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Collection: |
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8th Symposium on Languages, Applications and Technologies (SLATE 2019) |
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Issue Date: |
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2019 |
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Date of publication: |
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24.07.2019 |
