Knowledge and Information Systems, ( ISI ), Volume (58), No (3), Year (2019-3) , Pages (551-583)

Title : ( Ad hoc retrieval via entity linking and semantic similarity )

Authors: F Ensan , Weichang Du ,

Citation: BibTeX | EndNote


Semantic search has emerged as a possible way for addressing the challenges of traditional keyword-based retrieval systems such as the vocabulary gap between the query and document spaces. In this paper, we propose a novel semantic retrieval framework that uses semantic entity linking systems for forming a graph representation of documents and queries, where nodes represent concepts extracted from documents and edges represent semantic relatedness between those concepts. The core of our proposed work is a semantic-enabled language model that estimates the probability of generating query concepts given values assigned to document concepts. The semantic retrieval framework also provides basis for interpolating keyword-based retrieval systems with the semantic-enabled language model. We conduct comprehensive experiments over several Trec document collections and ana- lyze the performance of different configurations of the framework across multiple retrieval measures. Our experimental results show that the proposed semantic retrieval model has a synergistic impact on the results obtained through the state-of-the-art keyword-based systems, and the consideration of semantic information can complement and enhance the performance of such retrieval models.


, Semantic search, Ad hoc retrieval, Entity linking, Semantic relatedness, Language models
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

author = {Ensan, F and },
title = {Ad hoc retrieval via entity linking and semantic similarity},
journal = {Knowledge and Information Systems},
year = {2019},
volume = {58},
number = {3},
month = {March},
issn = {0219-1377},
pages = {551--583},
numpages = {32},
keywords = {Semantic search; Ad hoc retrieval; Entity linking; Semantic relatedness; Language models},


%0 Journal Article
%T Ad hoc retrieval via entity linking and semantic similarity
%A Ensan, F
%J Knowledge and Information Systems
%@ 0219-1377
%D 2019