Concordance-based entity-oriented search

Entity Oriented Search

A Concept-based Retrieval Method for Entity-oriented Search

Entity-oriented retrieval aims to return a list of relevant entities rather than documents to provide exact answers for user queries. The nature of entity-oriented retrieval requires identifying the semantic intent of user queries, i.e., understanding the semantic role of query terms and determining the semantic categories which indicate the class of target entities. Existing methods are not ab...

Entity-oriented Search Engine Result Pages

Modern search engine result pages often contain a mixture of results from structured and unstructured sources. Where such mixtures of structured and unstructured information are called for, the state-of-the-art is to organize complex search engine result pages around entities. Generating such a mixture of entity-oriented results in response to a traditional keyword query raises a number of inte...

Distributed Name-based Entity Search

Internet can be seen as a network of peers that store digital representations of entities from the real world (e.g., person, locations, events). Different peers locally represent different “versions” (i.e., different points of view) of the same real world entity. In these different versions, entities are normally identified by multiple (possibly different) names. We propose a distributed entity...

Towards an Understanding of Entity-Oriented Search Intents

Entity-oriented search deals with a wide variety of information needs, from displaying direct answers to interacting with services. In this work, we aim to understand what are prominent entity-oriented search intents and how they can be fulfilled. We develop a scheme of entity intent categories, and use them to annotate a sample of queries. Specifically, we annotate unique query refiners on the...