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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 39 1 A Context-Driven Subgraph Model for Literature-Based Discovery Cameron, Delroy H. In: Kno.e.sis Publications (2014) BASE Show details 2 iExplore: Interactive Browsing and Exploring Biomedical Knowledge Nguyen, Vinh; Bodenreider, Olivier; Srinivasan, Jagannathan... In: Amit P. Sheth (2014) BASE Show details 3 FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering Gunaratna, Kalpa; Thirunarayan, Krishnaprasad; Sheth, Amit P. In: Amit P. Sheth (2014) BASE Show details 4 A Graph-Based Recovery and Decomposition of Swanson’s Hypothesis using Semantic Predications Cameron, Delroy H.; Bodenreider, Olivier; Yalamanchili, Himi... In: Krishnaprasad Thirunarayan (2014) BASE Show details 5 Show Me What You Mean! Exploiting Domain Semantics in Ontology Visualization Pavagada, Ravi; Thomas, Christopher; Sheth, Amit P.... In: Amit P. Sheth (2014) BASE Show details 6 Semantics-Based Information Brokering Kashyap, Vipul; Sheth, Amit P. In: Amit P. Sheth (2014) BASE Show details 7 Semantics for the Semantic Web: The Implicit, the Formal and the Powerful Sheth, Amit P.; Ramakrishnan, Cartic; Thomas, Christopher In: Amit P. Sheth (2014) BASE Show details 8 Context-Driven Automatic Subgraph Creation for Literature-Based Discovery Cameron, Delroy H.; Kavuluru, Ramakanth; Rindflesch, Thomas... In: Amit P. Sheth (2014) BASE Show details 9 SWETO: Large-Scale Semantic Web Test-bed Aleman-Meza, Boanerges; Halaschek, Chris; Sheth, Amit P.... In: Amit P. Sheth (2014) BASE Show details 10 Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination Purohit, Hemant; Hampton, Andrew; Bhatt, Shreyansh... In: Amit P. Sheth (2014) BASE Show details 11 Updating Relational Views Using Knowledge at View Definition and View Update Time Larson, James A.; Sheth, Amit P. In: Amit P. Sheth (2014) BASE Show details 12 Semantic Visualization: Interfaces for Exploring and Exploiting Ontology, Knowledgebase, Heterogeneous Content and Complex Relationships Sheth, Amit P.; Avant, David In: Amit P. Sheth (2014) BASE Show details 13 What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination Purohit, Hemant; Shalin, Valerie L.; Flach, John M.... In: Amit P. Sheth (2014) BASE Show details 14 FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering Gunaratna, Kalpa; Thirunarayan, Krishnaprasad; Sheth, Amit P. In: Krishnaprasad Thirunarayan (2014) BASE Show details 15 Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination Purohit, Hemant; Hampton, Andrew; Bhatt, Shreyansh... In: Kno.e.sis Publications (2014) BASE Show details 16 ρ-Queries: Enabling Querying for Semantic Associations on the Semantic Web Anyanwu, Kemafor; Sheth, Amit P. In: Amit P. Sheth (2014) BASE Show details 17 Online Information Searching for Cardiovascular Diseases: An Analysis of Mayo Clinic Search Query Logs Jadhav, Ashutosh Sopan; Sheth, Amit P.; Pathak, Jyotishman In: Kno.e.sis Publications (2014) BASE Show details 18 Comparative Analysis of Online Health Queries Originating from Personal Computers and Smart Devices on a Consumer Health Information Portal Andrews, Donna; Jadhav, Ashutosh Sopan; Pathak, Jyotishman; Wu, Stephen; Misitano, Andrew; Sheth, Amit P.; McCormick, Jennifer B.; Fiksdal, Alexander; Kumbamu, Ashok; Ryu, Euijung; Nelsen, Laurie In: Amit P. Sheth (2014) Abstract: Background: The number of people using the Internet and mobile/smart devices for health information seeking is increasing rapidly. Although the user experience for online health information seeking varies with the device used, for example, smart devices (SDs) like smartphones/tablets versus personal computers (PCs) like desktops/laptops, very few studies have investigated how online health information seeking behavior (OHISB) may differ by device. Objective: The objective of this study is to examine differences in OHISB between PCs and SDs through a comparative analysis of large-scale health search queries submitted through Web search engines from both types of devices. Methods: Using the Web analytics tool, IBM NetInsight OnDemand, and based on the type of devices used (PCs or SDs), we obtained the most frequent health search queries between June 2011 and May 2013 that were submitted on Web search engines and directed users to the Mayo Clinic’s consumer health information website. We performed analyses on “Queries with considering repetition counts (QwR)” and “Queries without considering repetition counts (QwoR)”. The dataset contains (1) 2.74 million and 3.94 million QwoR, respectively for PCs and SDs, and (2) more than 100 million QwR for both PCs and SDs. We analyzed structural properties of the queries (length of the search queries, usage of query operators and special characters in health queries), types of search queries (keyword-based, wh-questions, yes/no questions), categorization of the queries based on health categories and information mentioned in the queries (gender, age-groups, temporal references), misspellings in the health queries, and the linguistic structure of the health queries. Results: Query strings used for health information searching via PCs and SDs differ by almost 50%. The most searched health categories are “Symptoms” (1 in 3 search queries), “Causes”, and “Treatments & Drugs”. The distribution of search queries for different health categories differs with the device used for the search. Health queries tend to be longer and more specific than general search queries. Health queries from SDs are longer and have slightly fewer spelling mistakes than those from PCs. Users specify words related to women and children more often than that of men and any other age group. Most of the health queries are formulated using keywords; the second-most common are wh- and yes/no questions. Users ask more health questions using SDs than PCs. Almost all health queries have at least one noun and health queries from SDs are more descriptive than those from PCs. Conclusions: This study is a large-scale comparative analysis of health search queries to understand the effects of device type (PCs vs SDs) used on OHISB. The study indicates that the device used for online health information search plays an important role in shaping how health information searches by consumers and patients are executed. Keyword: Bioinformatics; Communication; Communication Technology and New Media; Computer Science and Engineering; Computer Sciences; Databases and Information Systems; eHealth; Health Information Search; Health Search Log; Health Seeking Behavior; Life Sciences; mHealth; Mobile Health; Online Health Information Seeking; OS and Networks; Physical Sciences and Mathematics; Science and Technology Studies; Search Query Analysis; Social and Behavioral Sciences URL: https://works.bepress.com/amit_sheth/73 BASE Hide details 19 Expressive Extensions to Inheritance Networks Thirunarayan, Krishnaprasad In: Krishnaprasad Thirunarayan (2014) BASE Show details 20 Visualization of Events in a Spatially and Multimedia Enriched Virtual Environment Deligiannidis, Leonidas; Hakimpour, Farshad; Sheth, Amit P. In: Amit P. Sheth (2014) BASE Show details Page: 1 2

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