English

IntentsKB: A Knowledge Base of Entity-Oriented Search Intents

Information Retrieval 2018-09-05 v1 Artificial Intelligence Computation and Language

Abstract

We address the problem of constructing a knowledge base of entity-oriented search intents. Search intents are defined on the level of entity types, each comprising of a high-level intent category (property, website, service, or other), along with a cluster of query terms used to express that intent. These machine-readable statements can be leveraged in various applications, e.g., for generating entity cards or query recommendations. By structuring service-oriented search intents, we take one step towards making entities actionable. The main contribution of this paper is a pipeline of components we develop to construct a knowledge base of entity intents. We evaluate performance both component-wise and end-to-end, and demonstrate that our approach is able to generate high-quality data.

Keywords

Cite

@article{arxiv.1809.00345,
  title  = {IntentsKB: A Knowledge Base of Entity-Oriented Search Intents},
  author = {Darío Garigliotti and Krisztian Balog},
  journal= {arXiv preprint arXiv:1809.00345},
  year   = {2018}
}

Comments

Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM'18), 2018. 4 pages. 2 figures

R2 v1 2026-06-23T03:52:00.237Z