The Lowell database research self-assessment
Communications of the ACM - Adaptive complex enterprises
Personal information management with SEMEX
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
A database striptease or how to manage your personal databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
User-oriented ontology-based clustering of stored memories
Expert Systems with Applications: An International Journal
Ontology-based personalised retrieval in support of reminiscence
Knowledge-Based Systems
Enhanced semantic representation for improved ontology-based information retrieval
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers of KES2012-Part 2 of 2
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This paper introduces a semantic approach to personal information management, which employs natural language processing, ontologies and a vector space model to measure the semantic similarity between information objects in personal information collections. The approach involves natural language processing, named entity recognition, and information object integration. In particular, natural language processing is used to detect meaningful and semantically distinguishable information objects within collections of personal information. Then, the named entities are extracted from these information objects and their features (such as weight and category) are used to measure the semantic similarity between them. Further research includes using the semantic similarity measure developed to index and retrieve information objects in a semantic based system for personal information management.