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Query expansion techniques for information retrieval: a survey
With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …
Survey on challenges of question answering in the semantic web
Semantic Question Answering (SQA) removes two major access requirements to the
Semantic Web: the mastery of a formal query language like SPARQL and knowledge of a …
Semantic Web: the mastery of a formal query language like SPARQL and knowledge of a …
[HTML][HTML] Semantic protocol and resource description framework query language: a comprehensive review
This review presents various perspectives on converting user keywords into a formal query.
Without understanding the dataset's underlying structure, how can a user input a text-based …
Without understanding the dataset's underlying structure, how can a user input a text-based …
[PDF][PDF] Exploiting image generality for lexical entailment detection
We exploit the visual properties of concepts for lexical entailment detection by examining a
concept's generality. We introduce three unsupervised methods for determining a concept's …
concept's generality. We introduce three unsupervised methods for determining a concept's …
Exploiting relevance feedback in knowledge graph search
The big data era is witnessing a prevalent shift of data from homogeneous to
heterogeneous, from isolated to linked. Exemplar outcomes of this shift are a wide range of …
heterogeneous, from isolated to linked. Exemplar outcomes of this shift are a wide range of …
Hybrid query expansion model for text and microblog information retrieval
Query expansion (QE) is an important process in information retrieval applications that
improves the user query and helps in retrieving relevant results. In this paper, we introduce a …
improves the user query and helps in retrieving relevant results. In this paper, we introduce a …
Retrieval by recommendation: using LOD technologies to improve digital library search
L Wenige, J Ruhland - International Journal on Digital Libraries, 2018 - Springer
This paper investigates how Linked Open Data (LOD) can be used for recommendations
and information retrieval within digital libraries. While numerous studies on both research …
and information retrieval within digital libraries. While numerous studies on both research …
RQUERY: rewriting natural language queries on knowledge graphs to alleviate the vocabulary mismatch problem
For non-expert users, a textual query is the most popular and simple means for
communicating with a retrieval or question answering system. However, there is a risk of …
communicating with a retrieval or question answering system. However, there is a risk of …
Automated concepts for interrogating a document storage database
A DaBoll-Lavoie, D Jagielo, DG McCreary - US Patent 11,204,950, 2021 - Google Patents
Document retrieval from a large document storage database may be facilitated through the
use of a search system configured for identifying concepts related to a specific search query …
use of a search system configured for identifying concepts related to a specific search query …
A semantic transfer approach to keyword suggestion for search engine advertising
J Zhang, J Zhang, G Chen - Electronic Commerce Research, 2023 - Springer
Abstract Search Engine Advertising has been widely adopted by advertisers to target
potential consumers. However, the advertisers generally focus on limited popular …
potential consumers. However, the advertisers generally focus on limited popular …