Enabling technology for knowledge sharing
AI Magazine
Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
WordNet: a lexical database for English
Communications of the ACM
HyPursuit: a hierarchical network search engine that exploits content-link hypertext clustering
Proceedings of the the seventh ACM conference on Hypertext
Document representations and clues to document relevance
Journal of the American Society for Information Science
Placing search in context: the concept revisited
ACM Transactions on Information Systems (TOIS)
Using text processing techniques to automatically enrich a domain ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Information Retrieval
Modern Information Retrieval
Using WordNet and Lexical Operators to Improve Internet Searches
IEEE Internet Computing
Managing Semantic Content for the Web
IEEE Internet Computing
Four Paradigms for Indexing Video Conferences
IEEE MultiMedia
Intelligent Internet Search Applications Based on VLSI Associative Processors
SAINT '02 Proceedings of the 2002 Symposium on Applications and the Internet
Semantic Agents For Content-Based Discovery in Distributed Image Libraries
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Automatically generating hypertext by computing semantic similarity
Automatically generating hypertext by computing semantic similarity
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Using a semantic network for information extraction
Natural Language Engineering
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Semantic cores for representing documents in IR
Proceedings of the 2005 ACM symposium on Applied computing
Semantic similarity methods in wordNet and their application to information retrieval on the web
Proceedings of the 7th annual ACM international workshop on Web information and data management
ACM Transactions on Internet Technology (TOIT)
Generating semantically enriched user profiles for Web personalization
ACM Transactions on Internet Technology (TOIT)
Visualizations for the spyglass ontology-based information analysis and retrieval system
Proceedings of the 48th Annual Southeast Regional Conference
A recommendation strategy based on user behavior in digital ecosystems
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Reformulation of Telugu web query using word semantic relationships
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Unsupervised Similarity Learning from Textual Data
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Towards a user based recommendation strategy for digital ecosystems
Knowledge-Based Systems
A novel semantic information retrieval system based on a three-level domain model
Journal of Systems and Software
Cognitive canonicalization of natural language queries using semantic strata
ACM Transactions on Speech and Language Processing (TSLP)
A multimodal content-based approach for web pages analysis
International Journal of Knowledge Engineering and Data Mining
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The concept of relevance is a hot topic in the information retrieval process. In recent years the extreme growth of digital documents brought to light the need for novel approaches and more efficient techniques to improve the accuracy of IR systems to take into account real users' information needs. In this article we propose a novel metric to measure the semantic relatedness between words. Our approach is based on ontologies represented using a general knowledge base for dynamically building a semantic network. This network is based on linguistic properties and it is combined with our metric to create a measure of semantic relatedness. In this way we obtain an efficient strategy to rank digital documents from the Internet according to the user's interest domain. The proposed methods, metrics, and techniques are implemented in a system for information retrieval on the Web. Experiments are performed on a test set built using a directory service having information about analyzed documents. The obtained results compared to other similar systems show an effective improvement.