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[PDF] Top 20 Ontology-based end-user visual query formulation: Why, what, who, how, and which?

Has 10000 "Ontology-based end-user visual query formulation: Why, what, who, how, and which?" found on our website. Below are the top 20 most common "Ontology-based end-user visual query formulation: Why, what, who, how, and which?".

Ontology-based end-user visual query formulation: Why, what, who, how, and which?

Ontology-based end-user visual query formulation: Why, what, who, how, and which?

... for end-user data access, but also in usability at ...describe what already exists, while models are prescriptive, that is they prescribe systems, which do not exist, and pertain to ... See full document

36

Querying industrial stream-temporal data: An ontology-based visual approach

Querying industrial stream-temporal data: An ontology-based visual approach

... recent ontology-based data access (OBDA) technologies enable end users to formulate their information needs into queries using a set of terms defined in an ...database query languages, and ... See full document

20

Contextual Search: A Framework for Query Retrieval Based On Ontology of User Cluster

Contextual Search: A Framework for Query Retrieval Based On Ontology of User Cluster

... any end entity because by using search query result user should extract the knowledge out of which the correct information and precise information should be passed, thus the main focus of ... See full document

5

Information extraction from heterogeneous sources using domain ontologies

Information extraction from heterogeneous sources using domain ontologies

... The user will type a query, after applying query formulation, expansion and refinement rules based upon the domain ontology, the resulted refined query is then passed to the search engin[r] ... See full document

7

A Neural Network Model for Automatic Image Annotation and Annotation Refinement: A survey

A Neural Network Model for Automatic Image Annotation and Annotation Refinement: A survey

... content based image retrieval (CBIR) in which image is retrieved based on low level features like shape, color and ...method user needs to apply query image in CBIR and similar images ... See full document

5

Design of Query Suggestion System using
Search Logs and Query Semantics

Design of Query Suggestion System using Search Logs and Query Semantics

... the query logs to retrieve the potential clusters of queries and then finds the most popular queries in each ...in which a large amount of user preference data is mined from query ...the ... See full document

12

Query Expansion using Artificial Relevance Feedback

Query Expansion using Artificial Relevance Feedback

... Step 5: The sub queries are again send to the general purpose search engine (AltaVista in our case) and distinct terms are extracted again which are shown in the following figure. Array ( [0] => inhelpmailyahoo ... See full document

5

HUMAN RESOURCE DEVELOPMENT THROUGH MEDITATION

HUMAN RESOURCE DEVELOPMENT THROUGH MEDITATION

... There is an old saying that we become that which we meditate up our goal of oneness with the formless and abstract god is difficult to meditate on. When we meditate we will of course have thoughts. We are taught, ... See full document

5

Transnational connections, competences and identities: experiences of Chinese international students after their return ‘home’

Transnational connections, competences and identities: experiences of Chinese international students after their return ‘home’

... and how changes and transfor- mation identified in Chinese returnees’ competences and identities as a result of their overseas educational, social and cultural experiences influenced their capacity to function ... See full document

24

The how, why and what questions of dollarization

The how, why and what questions of dollarization

... of why dollarization helps reduce inflation in some countries but not in some others and why it might alleviate or aggravate exchange rate ...reveals how dollarization affects the monetary policy ... See full document

15

THE CHALLENGES OF PUBLIC POLICY FORMULATION AND EVALUATION THROUGH THE QUESTIONS: WHAT, WHO, HOW, AND WHEN?

THE CHALLENGES OF PUBLIC POLICY FORMULATION AND EVALUATION THROUGH THE QUESTIONS: WHAT, WHO, HOW, AND WHEN?

... those who see everything that government does as policy, the challenge is reiving on the aftermath of decisions meaning ignorance of what policy ought to be in real ...laxity which is common in ... See full document

12

One Click Image Search Re Ranking Based On User Preference

One Click Image Search Re Ranking Based On User Preference

... Some visual features may be more effective for certain query images than ...the visual similarity metrics more specific to the query, relevance feedback [12]–[16] was widely used to expand ... See full document

6

Towards a WHAT-WHY-HOW Taxonomy of Trajectories in Visualization Research

Towards a WHAT-WHY-HOW Taxonomy of Trajectories in Visualization Research

... understand how types of movers and context impact tra- jectory analysis, we enlarged the scope of the baseline taxonomy by adding attributes of elements belonging to the WHAT aspect of our ...categories ... See full document

5

The What, the How and the Why of the Flipped Classroom

The What, the How and the Why of the Flipped Classroom

... Active learning is certainly not a new idea. John Dewey knew that learning was an active process, and referred to it as such right at the beginning of the last century (1902, p.9). Some years later he stated that ... See full document

18

Ontology Based Query Expansion with a Probabilistic Retrieval Model

Ontology Based Query Expansion with a Probabilistic Retrieval Model

... fining query context. The information retrieval system used is based on the probabilistic retrieval ...(PF) query expansion techniques using infor- mation from a news domain ...the ontology on ... See full document

15

Ontology Based Query Expansion with a Probabilistic Retrieval Model

Ontology Based Query Expansion with a Probabilistic Retrieval Model

... of ontology based query expansion has only increased mean average preci- sion for a few cases but overall the precision is usually identical to the baseline or sometimes even below the ...fewer ... See full document

15

Ontology-Based Query in Heterogeneous & Distributed Data Sources

Ontology-Based Query in Heterogeneous & Distributed Data Sources

... system based on ontology to semantically integrate heterogeneous data sources such as XML and RDF to solve some conflicts that occur in these ...framework based on ontology to retrieve data ... See full document

17

Ontology-Based Query Answering for Probabilistic Temporal Data

Ontology-Based Query Answering for Probabilistic Temporal Data

... settings based on probabilistic databases, there is also research on extending DLs with probability opera- tors, such as in P-SHIF(D)/P-SHOIN (D) (Lukasiewicz 2008) or Prob-ALC/Prob-EL (Guti´errez-Basulto et ... See full document

8

Enhancing access of archives and ranking in web search

Enhancing access of archives and ranking in web search

... data which are not included in the search ...Furthermore, User Based Advertisement (UBA) is included with the proposed search engine to display the advertisements based on ...Stamp ... See full document

7

Random Query Formation for Novel Database

Random Query Formation for Novel Database

... choose which sources to integrate without ...a user-friendly system which automatically retrieves instances of data by using BioGuide on top of the SRS ... See full document

8

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