The effectiveness and efficiency of agglomerative hierarchic clustering in document retrieval
The effectiveness and efficiency of agglomerative hierarchic clustering in document retrieval
Recent trends in hierarchic document clustering: a critical review
Information Processing and Management: an International Journal
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
A new algorithm for the construction of minimal acyclic DFAs
Science of Computer Programming
Named entity recognition: a maximum entropy approach using global information
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Efficient Batch Top-k Search for Dictionary-based Entity Recognition
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Efficiently linking text documents with relevant structured information
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Information Sciences: an International Journal
Efficient approximate entity extraction with edit distance constraints
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Graph-based concept identification and disambiguation for enterprise search
Proceedings of the 19th international conference on World wide web
A scalable machine-learning approach for semi-structured named entity recognition
Proceedings of the 19th international conference on World wide web
SOA Governance: Governing Shared Services On-Premise and in the Cloud
SOA Governance: Governing Shared Services On-Premise and in the Cloud
Using SOA governance design methodologies to augment enterprise service descriptions
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
Ontology-driven automatic entity disambiguation in unstructured text
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
METEOR-S web service annotation framework with machine learning classification
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
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Automatically constructing or completing knowledge bases of SOA design knowledge puts traditional clustering approaches beyond their limits. We propose an approach to amend incomplete knowledge bases of Enterprise Service (ES) design knowledge, based on a set of ES signatures. The approach employs clustering, complemented with various filtering and ranking techniques to identify potentially new entities. We implemented and evaluated the approach, and show that it significantly improves the detection of entities compared to a state-of-the-art clustering technique. Ultimately, extending an existing knowledge base with entities is expected to further improve ES search result quality.