Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Term-weighting approaches in automatic text retrieval
Readings in information retrieval
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
An Architecture for Automatic Reference Linking
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
Phrase-based Document Similarity Based on an Index Graph Model
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Ontology Based Semantic Similarity Comparison of Documents
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Inferring document similarity from hyperlinks
Proceedings of the 14th ACM international conference on Information and knowledge management
Corpus-based and knowledge-based measures of text semantic similarity
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
OSS: a semantic similarity function based on hierarchical ontologies
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Automatic evaluation of text coherence: models and representations
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Automatic reference tracking with on-demand relevance filtering based on user's interest
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Using measures of semantic relatedness for word sense disambiguation
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Weighted ontology-based search exploiting semantic similarity
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
An ontology-based information retrieval model
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Web-based evolutionary and adaptive information retrieval
IEEE Transactions on Evolutionary Computation
A method for determining ontology-based semantic relevance
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
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Automatic Reference Tracking (ART) involves systematic and recursive tracking of bibliographic reference articles listed under the bibliography section of a particular research article. Automatic tracking is done by recursively extracting the references listed at the tail end of the input seed publication and further analysing the relevance of the extracted bibliographic reference listing with respect to the seed publication. Based on the relevance, the bibliographic research article is downloaded online. The objective is to automatically identify closely relevant reference articles, thereby facilitating the literature understanding of the aspiring researcher. In this paper, we try to address the issue of relevance-based ART in detail, with explanations on ontology-based semantic relevance computations for two domains: Operating Systems (OSs) and Computer networks (Comp n/ws). The results substantiate the claim of using domain ontology for various reasons, which are summarised in the paper.