Internet-based information and retrieval systems
Decision Support Systems - Special issue on WITS '97
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Understanding semantic relationships
The VLDB Journal — The International Journal on Very Large Data Bases
Classifying the Semantics of Relationships in Conceptual Modeling by Categorization of Roles
NLDB'01 Proceedings of the 6th International Workshop on Applications of Natural Language to Information Systems
Towards the Semantic Web: Ontology-driven Knowledge Management
Towards the Semantic Web: Ontology-driven Knowledge Management
A symbolic approach for content-based information filtering
Information Processing Letters
Text summarization using a trainable summarizer and latent semantic analysis
Information Processing and Management: an International Journal - Special issue: An Asian digital libraries perspective
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
Managing the Semantic Aspects of Learning Using the Knowledge Life Cycle
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
On document relevance and lexical cohesion between query terms
Information Processing and Management: an International Journal
Improving query precision using semantic expansion
Information Processing and Management: an International Journal
Virtual relevant documents in text categorization with support vector machines
Information Processing and Management: an International Journal
Semantic passage segmentation based on sentence topics for question answering
Information Sciences: an International Journal
Using query logs to establish vocabularies in distributed information retrieval
Information Processing and Management: an International Journal
An algorithm to cluster data for efficient classification of support vector machines
Expert Systems with Applications: An International Journal
A novel method for measuring semantic similarity for XML schema matching
Expert Systems with Applications: An International Journal
The analysis of decomposition methods for support vector machines
IEEE Transactions on Neural Networks
Instance-based domain ontological view creation towards semantic integration
Expert Systems with Applications: An International Journal
Application identification of semantic web techniques in KM systems
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Expert Systems with Applications: An International Journal
Ontology-based semantic similarity: A new feature-based approach
Expert Systems with Applications: An International Journal
A semantic retrieval framework for engineering domain knowledge
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Technology classification with latent semantic indexing
Expert Systems with Applications: An International Journal
Protecting research and technology from espionage
Expert Systems with Applications: An International Journal
Weak signal identification with semantic web mining
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
The existing information retrieval systems are mostly keyword-based and retrieve relevant documents or information by matching keywords. Keyword-based search, in spite of its merits of expedient query for information and ease-of-use, has failed to represent the complete semantics contained in the content and has let to the retrieval failure. In a textual content, the author's intention is represented in a semantic format of various combinations of word-word relations that are comprehensible to human beings. Query constructed by descriptions in natural language best reflects querist's intention. This study developed a semantic-enable information retrieval mechanism that handles the processing, recognition, extraction, extensions and matching of content semantics to achieve the following objectives: (1) to analyze and determine the semantic features of content, to develop a semantic pattern that represents semantic features of the content, and to structuralize and materialize semantic features; (2) to analyze user's query and extend its implied semantics through semantic extension so as to identify more semantic features for matching; and (3) to generate contents with approximate semantics by matching against the extended query to provide correct contents to the querist. This mechanism is capable of improving the traditional problem of keyword search and enables the user to perform a semantic-based query and search for the required information, thereby improving the reusing and sharing of information.