A Semantic Model of Sensed Information and Situations
Information Integration: The Semantic-Model Approach
... in information integration. An application may need information from many sources with different kinds of ...list information about their faculty, students, research, or ...complete ...
111
Model for semantic processing in information retrieval systems
... the information. The present research proposes a model for the retrieval of information with semantic annotation that allows to help the user to recover the most relevant information ...
6
Semantic Information Retrieval Model: Fuzzy Ontology Approach
... 4. RELATED WORK Leite model [4] semantically retrieves a set of query‟s relevant documents in multi-domains. Each domain is represented as a fuzzy ontology and is then connected with other domains using fuzzy ...
6
Information quality and diverse information systems situations
... In order to describe methods, a meta-model for methods that includes ac- tivities, roles, specifications, documents and techniques is presented. Figure 3.8 below illustrates the relationship between these ...
188
Remotely sensed image retrieval based on region-level semantic mining
... and information mining; however, their performances are limited by the semantic gap between low-level features and high-level ...this semantic gap, a region-level semantic mining approach is ...
11
DEVELOPING SEMANTIC WEB MODEL OF SCHOOL INFORMATION SYSTEM USING SEMANTIC WEB TECHNOLOGIES
... Keywords –Information Technology, Upper Level Ontology, I. INTRODUCTION Education sector is a public and private sector which is the largest sector of the economy in most countries. In India, Education sector is ...
8
A comparison of remotely sensed terrestrial spatial information
... 47 photogrammetry also offers many advantages, with the use of common-market cameras that the average person should be familiar with. The main drawback to photogrammetry is the amount of work that is required when ...
83
Information content of in situ and remotely sensed chlorophyll-a: Learning from size-structured phytoplankton model
... parameters affecting large phytoplankton growth while simulated OC3M Chl-a better 8. constrained parameters related to small phytoplankton dynamics (Fig[r] ...
36
Pay-as-you-go information integration: The semantic model approach
... the information for one individual (determined by the same SSN in different inputs) is combined in the output document in the intuitive way: The date of birth of the same individ- ual from different inputs, if ...
13
Towards a semantic granularity model for domain-specific information retrieval
... of information archived on electronic networks, such as the Web, is making it increasingly difficult for information seekers to locate relevant information [Lau et ...IR model for ...
63
Semantic concept-enriched dependence model for medical information retrieval
... 2.1.2. Concept importance weighting Many recent studies in IR attempted to identify important con- cepts and strengthen their term weights to improve the retrieval effectiveness, especially with regard to verbose queries ...
10
A Semantic Model for Multimodal Data Mining in Healthcare Information Systems
... the number of target clusters is pre-specified by the user, and the resulting clusters are not associated with class labels. The data mining approaches described are challenged by the multimodality of the medical data. ...
5
Assimilation of Remotely Sensed Soil Moisture in the MESH Model
... hydrological model simulations, in particular for physically-based distributed models, allow for the estimation and prediction of hydrologic conditions at desired spatial and temporal ...forecast model nor ...
176
An Approach of a Personalized Information Retrieval Model based on Contents Semantic Analysis
... personalized information retrieval model based on the semantic processing of the content is ...proposed model reduces the unnecessary information overload for users and improves the ...
8
Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings
... extract information from them, it will greatly benefit a variety of ...unsupervised information extrac- tion system for short ...tic model that represents typical objects and their attributes in the ...
12
Methods to Integrate a Language Model with Semantic Information for a Word Prediction Component
... mantic information. We want to explore the predictive powers of Latent Semantic Analysis (LSA), a method that has been shown to provide reliable information on long-distance semantic ...
8
Automatic simulated computation of remote sensing information model based on semantic
... sensing information model is presented in Section ...SENSING INFORMATION MODELS Remote sensing data is the reflection of ground object and has relative mathematic and geographical ...sensing ...
9
Informational Session Semantic Model Information Elements Request for Industry Comment
... Information Element • The data associated with each component of an invoice (e.g. business term, cardinality, or description) that can be defined independent of the syntax. Note: Elements with a ‘0..n’ or ‘1..n’ ...
22
Cognitive Semantic Analysis of Linguistic Objectifications of Possessive Situations in Russian, English, German
... The cognitive model of “subject-possessor” includes sub-models of: “subject-keeper”, “subject-accumulator”, “subject-spender”. The greatest qualification in the comparative lingua-cultures is obtained by the ...
5
Forecasting the Acceptance of New Information Services by using the Semantic-aware Prediction Model
... the semantic similarity for these attributes will be for each pair of YouTube ...complex semantic similarity determination algorithms, though such approach could prove to be costly once the implementation ...
28