JOURNAL ARTICLE

Entity linking and retrieval for semantic search

Abstract

More and more search engine users are expecting direct answers to their information needs, rather than links to documents. Semantic search and its recent applications enabled search engines to organize their wealth of information around entities. Entity linking and retrieval provide the building stones for organizing the web of entities. This tutorial aims to cover all facets of semantic search from a unified point of view and connect real-world applications with results from scientific publications. We provide a comprehensive overview of entity linking and retrieval in the context of semantic search and thoroughly explore techniques for query understanding, entity-based retrieval and ranking on unstructured text, structured knowledge repositories, and a mixture of these. We point out the connections between published approaches and applications, and provide hands-on examples on real-world use cases and datasets.

Keywords:
Computer science Information retrieval Semantic search Ranking (information retrieval) Search engine Point (geometry) Context (archaeology) World Wide Web Semantic Web Concept search Web search query

Metrics

48
Cited By
10.63
FWCI (Field Weighted Citation Impact)
0
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Data Quality and Management
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems

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