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Combining Term-Based and Category-Based Representations for Entity Search [chapter]

Krisztian Balog, Marc Bron, Maarten de Rijke, Wouter Weerkamp
2010 Lecture Notes in Computer Science  
We employ a probabilistic retrieval model for entity search in which term-based and category-based representations of queries and entities are effectively integrated.  ...  ), and Q for the textual part of the query.  ...  model for entity search, in which term-based and category-based representations of queries and entities are effectively integrated.  ... 
doi:10.1007/978-3-642-14556-8_27 fatcat:ndo7m4cxevdnrhnapslma3fv5u

A Compositional-Distributional Semantic Model for Searching Complex Entity Categories

Juliano Efson Sales, Andre Freitas, Brian Davis, Siegfried Handschuh
2016 Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics  
When searching for entities, categories frequently describes the search query.  ...  Users combine attributes and types to describe and classify entities into categories. These categories are fundamental for organising knowledge in a decentralised way acting as tags and predicates.  ...  Oliveira (Florida Institute of Technology) and the anonymous reviewers for the valuable critical comments.  ... 
doi:10.18653/v1/s16-2025 dblp:conf/starsem/SalesFDH16 fatcat:ptkppupbbjgjjmtf52ro76f6rm

Category-Based Query Modeling for Entity Search [chapter]

Krisztian Balog, Marc Bron, Maarten de Rijke
2010 Lecture Notes in Computer Science  
We focus on the use of category information and show the advantage of a category-based representation over a term-based representation, and also demonstrate the effectiveness of category-based expansion  ...  Users often search for entities instead of documents and in this setting are willing to provide extra input, in addition to a query, such as category information and example entities.  ...  Our main contribution is the introduction of a probabilistic retrieval model for entity search, in which we are able to effectively integrate term-based and category-based representations of queries and  ... 
doi:10.1007/978-3-642-12275-0_29 fatcat:kg4paa2hzbblfgof7hdi5skxwa

Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding

Walid Shalaby, Khalifeh Al Jadda, Mohammed Korayem, Trey Grainger
2016 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)  
We present an ensemble approach for categorizing search query entities in the recruitment domain.  ...  Understanding the types of entities expressed in a search query (Company, Skill, Job Title, etc.) enables more intelligent information retrieval based upon those entities compared to a traditional keyword-based  ...  This observation motivated us to combine features for search entities from both contextual and synonymy vectors in a combined vector space. E.  ... 
doi:10.1109/compsac.2016.109 dblp:conf/compsac/ShalabyAKG16 fatcat:26qwomj5yrhf5fvkk5gs62v4ge

Example Based Entity Search in the Web of Data [chapter]

Marc Bron, Krisztian Balog, Maarten de Rijke
2013 Lecture Notes in Computer Science  
We propose an alternative structure-based approach that makes use of example entities and compare its effectiveness with a text-based approach in the context of an entity list completion task.  ...  We find that both the text and structure-based approaches are effective in retrieving relevant entities, but that they find different sets of entities.  ...  To obtain a ranking for different entity representations, we estimate P (t|θ cs e ) for each category subset (cs), where θ cs e is a multinomial distribution estimated over the terms occurring in the triples  ... 
doi:10.1007/978-3-642-36973-5_33 fatcat:lckukhwlg5g5fikqseso4pdz34

Content-based Text Categorization using Wikitology [article]

Muhammad Rafi, Sundus Hassan, Mohammad Shahid Shaikh
2012 arXiv   pre-print
Topic maps are rapidly becoming an industrial standard for knowledge representation with a focus for later search and extraction.  ...  Traditionally, vector-based models have been used for computing the document similarity. The vector-based models represent several features present in documents.  ...  Acknowledgments We would like to acknowledge the anonyms reviewers for their valuable comments on the submitted paper.  ... 
arXiv:1208.3623v1 fatcat:ol22a5el5vdivlintokuagiun4

On Type-Aware Entity Retrieval

Darío Garigliotti, Krisztian Balog
2017 Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '17  
We perform a thorough analysis of three main aspects: (i) the choice of type taxonomy, (ii) the representation of hierarchical type information, and (iii) the combination of type-based and term-based similarity  ...  Today, the practice of returning entities from a knowledge base in response to search queries has become widespread.  ...  RQ2 How to represent hierarchical entity type information for entity retrieval? RQ3 How to combine term-based and type-based information?  ... 
doi:10.1145/3121050.3121054 dblp:conf/ictir/GarigliottiB17 fatcat:m64pieqqrrfpjiqydwroic4w7a

Query modeling for entity search based on terms, categories, and examples

Krisztian Balog, Marc Bron, Maarten De Rijke
2011 ACM Transactions on Information Systems  
Query modeling for entity search based on terms, categories, and examples.  ...  We focus on the use of category information and show the advantage of a category-based representation over a term-based representation, and also demonstrate the effectiveness of category-based expansion  ...  ACKNOWLEDGMENTS We are extremely grateful to our anonymous reviewers; their comments and feedback really helped to improve the paper.  ... 
doi:10.1145/2037661.2037667 fatcat:gotilqrajfdrtl2wykg72agiia

Context-Sensitive Ranking Using Cross-Domain Knowledge for Chemical Digital Libraries [chapter]

Benjamin Köhncke, Wolf-Tilo Balke
2013 Lecture Notes in Computer Science  
We show that structure-based similarity measures are not suitable for chemical context searches and introduce a similarity measure combining entity-and context similarity.  ...  We compare against two baseline approaches: a Boolean retrieval model and a model using statistical query expansion for the context term.  ...  The problem for such entity-based searches is usually twofold: one central complex is markup and disambiguation (which also included detecting synonyms), the other complex deals with similarity-based searches  ... 
doi:10.1007/978-3-642-40501-3_29 fatcat:d7ivrnuhxnfxbcdkbtpewq2xvi

Towards expressive exploratory search over entity-relationship data

Sivan Yogev, Haggai Roitman, David Carmel, Naama Zwerdling
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
In this paper we describe a novel approach for exploratory search over rich entity-relationship data that utilizes a unique combination of expressive, yet intuitive, query language, faceted search, and  ...  We describe an extended faceted search solution which allows to index, search, and browse rich entity-relationship data.  ...  , and these term queries are combined into a Boolean OR query.  ... 
doi:10.1145/2187980.2187990 dblp:conf/www/YogevRCZ12 fatcat:eb7a7nsth5g2rg5vl7hgw3hgla

Ad Hoc Table Retrieval using Semantic Similarity

Shuo Zhang, Krisztian Balog
2018 Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18  
We consider all possible combinations of semantic representations and similarity measures and use these as features in a supervised learning model.  ...  Specifically, we (i) represent queries and tables in multiple semantic spaces (both discrete sparse and continuous dense vector representations) and (ii) introduce various similarity measures for matching  ...  For example, entity-based representations have been used for document retrieval [36, 44] and category-based representations have been used for entity retrieval [3] .  ... 
doi:10.1145/3178876.3186067 dblp:conf/www/ZhangB18 fatcat:kioetyupufd3xmb2gq6iqaf3wm

Parameterized Fielded Term Dependence Models for Ad-hoc Entity Retrieval from Knowledge Graph

Fedor Nikolaev, Alexander Kotov, Nikita Zhiltsov
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
Accurate projection of terms in free-text queries onto structured entity representations is one of the fundamental problems in entity retrieval from knowledge graph.  ...  graphs, which infer the user's intent behind each individual query concept by dynamically estimating its projection onto the fields of structured entity representations based on a small number of statistical  ...  Foundation for Basic Research (grants # 15-07-08522, 15-47-02472).  ... 
doi:10.1145/2911451.2911545 dblp:conf/sigir/NikolaevKZ16 fatcat:ox3h7en3tnc7znxo5ryrqpz75e

Semistructured Data Search [chapter]

Krisztian Balog
2014 Lecture Notes in Computer Science  
We start with a general retrieval framework, based on generative probabilistic modeling, for ranking unstructured document representations.  ...  This paper presents a selection of methods for searching in heterogeneous data collections where some amount of structure is available.  ...  Category-Based Modeling Next, we consider scenarios where the move beyond term-based representations, both for documents and for queries.  ... 
doi:10.1007/978-3-642-54798-0_4 fatcat:nzocbjuinnbqvdcgoklvt55dnu

Semantically Enriched Models for Entity Ranking [chapter]

Krisztian Balog
2018 Advanced Topics in Information Retrieval  
On the other hand, these term-based models have little awareness of what it takes to be an entity.  ...  This requires a departure from purely term-based approaches toward more semantically informed representations.  ...  There are several possibilities to combine term-based and entity-based representations during matching. Hasibi et al.  ... 
doi:10.1007/978-3-319-93935-3_4 fatcat:xsri53xoxzc5rmgk4fp6kqj7ti

Towards Personalized Medication [chapter]

Michal Huptych, Jiri Potucek, Lenka Lhotská
2021 Studies in Health Technology and Informatics  
Available search engine resources do not offer specific functionalities that are required for efficient and relevant search in reliable literature sources.  ...  The paper describes some aspects of precision medicine and shows the importance of pharmacokinetics and pharmacodynamics for the therapeutic drug monitoring and model-informed precision dosing.  ...  FV40426 "Supplementary Platform for Physiologically Based Pharmacokinetic Modeling (PBPK)" funded by the TRIO program of the Ministry of Industry and Trade of the Czech Republic.  ... 
doi:10.3233/shti210572 pmid:34734851 fatcat:kzukdfahirbm7dmiwo6qybyobi
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