Algorithms for clustering data
Algorithms for clustering data
Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Word sense disambiguation and information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
On the merits of building categorization systems by supervised clustering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A knowledge-based approach to organizing retrieved documents
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Bringing order to the Web: automatically categorizing search results
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Finding topic words for hierarchical summarization
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Information Architecture for the World Wide Web
Information Architecture for the World Wide Web
Evaluation of hierarchical clustering algorithms for document datasets
Proceedings of the eleventh international conference on Information and knowledge management
Faceted metadata for image search and browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User-Centred Ontology Learning for Knowledge Management
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Generating hierarchical summaries for web searches
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
Proceedings of the 13th international conference on World Wide Web
Cohesion and collocation: using context vectors in text segmentation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Automatically learning document taxonomies for hierarchical classification
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Automatic construction of multifaceted browsing interfaces
Proceedings of the 14th ACM international conference on Information and knowledge management
CP/CV: concept similarity mining without frequency information from domain describing taxonomies
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Hierarchical document classification using automatically generated hierarchy
Journal of Intelligent Information Systems
Integrating Semantic Knowledge into Text Similarity and Information Retrieval
ICSC '07 Proceedings of the International Conference on Semantic Computing
Topic taxonomy adaptation for group profiling
ACM Transactions on Knowledge Discovery from Data (TKDD)
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
New research directions for data and knowledge engineering: A philosophy of language approach
Data & Knowledge Engineering
A two-stage text mining model for information filtering
Proceedings of the 17th ACM conference on Information and knowledge management
Semantically driven snippet selection for supporting focused web searches
Data & Knowledge Engineering
Deriving a large scale taxonomy from Wikipedia
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Extracting relevant snippets for web navigation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
UMND1: unsupervised word sense disambiguation using contextual semantic relatedness
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Learning concept hierarchies from text corpora using formal concept analysis
Journal of Artificial Intelligence Research
The cluster-abstraction model: unsupervised learning of topic hierarchies from text data
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
CoSeNa: a context-based search and navigation system
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Large-scale taxonomy mapping for restructuring and integrating wikipedia
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Usability of upper level ontologies: The case of ResearchCyc
Data & Knowledge Engineering
Leveraging structural knowledge for hierarchically-informed keyword weight propagation in the web
WebKDD'06 Proceedings of the 8th Knowledge discovery on the web international conference on Advances in web mining and web usage analysis
Emerging topic detection on Twitter based on temporal and social terms evaluation
Proceedings of the Tenth International Workshop on Multimedia Data Mining
ANITA: a narrative interpretation of taxonomies for their adaptation to text collections
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Editorial: COMPENDIUM: A text summarization system for generating abstracts of research papers
Data & Knowledge Engineering
Hi-index | 0.01 |
Taxonomies embody formalized knowledge and define aggregations between concepts/categories in a given domain, facilitating the organization of the data and making the contents easily accessible to the users. Since taxonomies have significant roles in data annotation, search and navigation, they are often carefully engineered. However, especially in domains, such as news, where content dynamically evolves, they do not necessarily reflect the content knowledge. Thus, in this paper, we ask and answer, in the positive, the following question: ''is it possible to efficiently and effectively adapt a given taxonomy to a usage context defined by a corpus of documents?'' In particular, we recognize that the primary role of a taxonomy is to describe or narrate the natural relationships between concepts in a given document corpus. Therefore, a corpus-aware adaptation of a taxonomy should essentially distill the structure of the existing taxonomy by appropriately segmenting and, if needed, summarizing this narrative relative to the content of the corpus. Based on this key observation, we propose A Narrative Interpretation of Taxonomies for their Adaptation (ANITA) for re-structuring existing taxonomies to varying application contexts and we evaluate the proposed scheme using different text collections. Finally we provide user studies that show that the proposed algorithm is able to adapt the taxonomy in a new compact and understandable structure.