What is she best known for?
The fields of study she is best known for:
- Database
- Programming language
- Operating system
Tova Milo mainly investigates XML, World Wide Web, Web service, Query language and Information retrieval.
The XML validation and XML database research she does as part of her general XML study is frequently linked to other disciplines of science, such as Context, therefore creating a link between diverse domains of science.
Her work is dedicated to discovering how World Wide Web, Service are connected with SIMPLE and Peer-to-peer and other disciplines.
Her study in Web service is interdisciplinary in nature, drawing from both Business process discovery, Artifact-centric business process model, Data integration and Specification language.
The Query language study combines topics in areas such as Query expansion, Web search query, Web query classification, RDF query language and Server.
Her Information retrieval research is multidisciplinary, incorporating perspectives in SQL, Database and The Internet.
Her most cited work include:
- Index Structures for Path Expressions (594 citations)
- Using Schema Matching to Simplify Heterogeneous Data Translation (394 citations)
- Querying the World Wide Web (289 citations)
What are the main themes of her work throughout her whole career to date?
Her scientific interests lie mostly in Theoretical computer science, Information retrieval, World Wide Web, Query language and XML.
The various areas that Tova Milo examines in her Theoretical computer science study include Probabilistic logic, Constant, Set and Data mining.
Her Information retrieval research is multidisciplinary, relying on both Key and Database.
Tova Milo has included themes like Programming language, Business Process Execution Language, Data model, RDF query language and Query optimization in her Query language study.
Her work carried out in the field of XML brings together such families of science as Data integrity and Specification language.
As a member of one scientific family, Tova Milo mostly works in the field of XML validation, focusing on Document Structure Description and, on occasion, XML Schema Editor.
She most often published in these fields:
- Theoretical computer science (21.93%)
- Information retrieval (19.25%)
- World Wide Web (19.25%)
What were the highlights of her more recent work (between 2014-2020)?
- Information retrieval (19.25%)
- Crowdsourcing (8.56%)
- Task (4.81%)
In recent papers she was focusing on the following fields of study:
Tova Milo spends much of her time researching Information retrieval, Crowdsourcing, Task, Context and Data science.
Tova Milo carries out multidisciplinary research, doing studies in Information retrieval and Data citation.
Her Crowdsourcing research is multidisciplinary, incorporating elements of Ontology, Set, Data mining and Selection.
Her work on View as part of general Data mining research is frequently linked to Provenance, bridging the gap between disciplines.
Her Human–computer interaction study combines topics from a wide range of disciplines, such as Session, Recommender system, World Wide Web and Data exploration.
Her Operations research research includes elements of Query language and Query optimization.
Between 2014 and 2020, her most popular works were:
- Next-Step Suggestions for Modern Interactive Data Analysis Platforms (29 citations)
- Approximated Summarization of Data Provenance (27 citations)
- Query-Oriented Data Cleaning with Oracles (26 citations)
In her most recent research, the most cited papers focused on:
- Database
- Programming language
- Artificial intelligence
Her primary areas of investigation include Domain, Data mining, Human–computer interaction, Information retrieval and View.
The study incorporates disciplines such as Computer security, Exploit, Database transaction and Set in addition to Domain.
Tova Milo combines subjects such as Crowdsourcing, Semantics, Automatic summarization and Provisioning with her study of Data mining.
She studied Human–computer interaction and Recommender system that intersect with Search engine indexing, Visualization, Online analytical processing, Online and offline and SQL.
Her research in Information retrieval is mostly focused on Materialized view.
Her View research incorporates themes from Heuristic, Key and Oracle.
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