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QBEES: query-by-example entity search in semantic knowledge graphs based on maximal aspects, diversity-awareness and relaxation

Steffen Metzger, Ralf Schenkel, Marcin Sydow
2017 Journal of Intelligent Information Systems  
Within such knowledge bases, an important search task is finding similar entities based on one or more example entities.  ...  We present QBEES, a novel framework for defining entity similarity based on structural features, so-called aspects and maximal aspects of the entities, that naturally model potential interest profiles  ...  We would like to thank Grzegorz Sobczak for providing additional experimental evaluation results of QBEES on the QALD3 and QALD4 data sets, his work was supported by the European Union under the European  ... 
doi:10.1007/s10844-017-0443-x fatcat:i3ybfzjs35dvveoh7to7nbkuyq

iQbees: Interactive Query-by-example Entity Search in Semantic Knowledge Graphs

Marcin Sydow, Grzegorz Sobczak, Ralf Schenkel, Krzysztof Mioduszewski
2016 Proceedings of the 2016 Federated Conference on Computer Science and Information Systems  
We present IQBEES, a novel prototype system for similar entity search by example on semantic knowledge graphs that is based on the concept of maximal aspects.  ...  INTRODUCTION I N THIS paper we present iQbees, a prototype system for Interactive Query-By-Example Entity Search on semantic knowledge graphs.  ...  INTERACTIVE SEARCH WITH iQbees With iQbees, the static search procedure used by QBEES is extended with interactive feedback cycles. Initially, the user provides an example entity. 2 .  ... 
doi:10.15439/2016f562 dblp:conf/fedcsis/SydowSSM16 fatcat:far7gxfchnha3bx2s2fsd7husm

Entity Set Expansion via Knowledge Graphs

Xiangling Zhang, Yueguo Chen, Jun Chen, Xiaoyong Du, Ke Wang, Ji-Rong Wen
2017 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17  
Traditionally, people solve this problem by exploiting the co-occurrence of entities within web pages, where latent semantic correlation among seed entities cannot be revealed.  ...  It can be applied in applications such as web search, item recommendation and query expansion.  ...  It can be widely used in many applications such as web search (search by examples), item recommendation and query expansion [10] .  ... 
doi:10.1145/3077136.3080732 dblp:conf/sigir/ZhangCCDWW17 fatcat:kxyqvj746jdbzhzard26no6nma

iQbees: Towards Interactive Semantic Entity Search Based on Maximal Aspects [chapter]

Grzegorz Sobczak, Mateusz Chochół, Ralf Schenkel, Marcin Sydow
2015 Lecture Notes in Computer Science  
Acknowledgements This work is partially supported by:  ...  Motivations QBEES (Query By Entity Example Search) given set of entities find an entity that maximally resembles all of them (e.g. replacement of a particular person or part, etc.)  ...  IQBEES (Interactive QBEES) the user iteratively selects (relevance feedback) example entities one by one to refine some concept represented by the entites A Knowledge Graph KG is a directed multi-graph  ... 
doi:10.1007/978-3-319-25252-0_28 fatcat:vk32kek2vvfzpfc7ycra2gacia

Semantically Enriched Models for Entity Ranking [chapter]

Krisztian Balog
2018 Advanced Topics in Information Retrieval  
For example, if types of entities are represented as semantic units, as opposed to sequences of words, then we also need to know the target types of the query.  ...  Our efforts in this chapter are driven by the following question: How can one leverage structured knowledge repositories in entity retrieval?  ...  These query entities may be provided by the user (e.g., by using query auto-completion and clicking on a specific entity in the list of suggestions) or by some automatic entity linking method (see Sect  ... 
doi:10.1007/978-3-319-93935-3_4 fatcat:xsri53xoxzc5rmgk4fp6kqj7ti

Example-driven query intent discovery

Anna Fariha, Alexandra Meliou
2019 Proceedings of the VLDB Endowment  
Query by Example (QBE) methods offer an alternative mechanism: users provide examples of their intended query output and the QBE system needs to infer the intended query.  ...  Our work makes the following contributions: (1) We design an end-to-end system that automatically formulates select-projectjoin queries in an open-world setting, with optional group-by aggregation and  ...  Acknowledgements: This material is based upon work supported by the NSF under grants CCF-1763423 and IIS-1453543. We thank Quoc Trung Tran for sharing the source code of TALOS.  ... 
doi:10.14778/3342263.3342266 fatcat:pv2mrispx5b7jo3gm5mxinbp54

EntiTables

Shuo Zhang, Krisztian Balog
2017 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17  
We concentrate on one particular family of tables, namely, tables with an entity focus.  ...  We introduce and focus on two specific tasks: populating rows with additional instances (entities) and populating columns with new headings. We develop generative probabilistic models for both tasks.  ...  Entity Similarity e estimation of P (e |E) corresponds to the task of entity list completion (also known as set/concept expansion or query by example): given a small set of seed entities, complement this  ... 
doi:10.1145/3077136.3080796 dblp:conf/sigir/ZhangB17 fatcat:b6mkesx5sfe6rolzrdk2x72mqu

User-centric knowledge extraction and maintenance [article]

Steffen Metzger, Universität Des Saarlandes, Universität Des Saarlandes
2014
Our model is general enough to be applied to the family of Query By Entity ExampleS (QBEES) use-cases, i.e. the requirement being that a set of semantic entities is given as example query while the goal  ...  QBEES -Query By Entity ExampleS . . . . . . . . . . . . . . . . . 8 1.3.4. Colledge -Collaborative Knowledge Networks . . . . . . . . . . . . . 8 1.4.  ...  Queries In this query we are interested in the birth and death of Abraham Lincoln.  ... 
doi:10.22028/d291-26563 fatcat:7eznlxojjvge5hyzfxhdgb4uny