VAGUE: a user interface to relational databases that permits vague queries
ACM Transactions on Information Systems (TOIS)
WordNet: a lexical database for English
Communications of the ACM
Rewriting queries using views in description logics
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Modern Information Retrieval
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
VLDB '90 Proceedings of the 16th International Conference on Very Large Data Bases
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
Peer-to-peer information retrieval using self-organizing semantic overlay networks
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
The hyperion project: from data integration to data coordination
ACM SIGMOD Record
Exploiting Semantic Proximity in Peer-to-Peer Content Searching
FTDCS '04 Proceedings of the 10th IEEE International Workshop on Future Trends of Distributed Computing Systems
Exploiting semantic clustering in the eDonkey P2P network
Proceedings of the 11th workshop on ACM SIGOPS European workshop
SRI: exploiting semantic information for effective query routing in a PDMS
WIDM '06 Proceedings of the 8th annual ACM international workshop on Web information and data management
Plan selection based on query clustering
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Preference SQL: design, implementation, experiences
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Bibster-a semantics-based bibliographic Peer-to-Peer system
Web Semantics: Science, Services and Agents on the World Wide Web
OWL-Eu: adding customised datatypes into OWL
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Ontology translation on the semantic web
Journal on Data Semantics II
A survey of schema-based matching approaches
Journal on Data Semantics IV
Semantic overlay networks for p2p systems
AP2PC'04 Proceedings of the Third international conference on Agents and Peer-to-Peer Computing
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
A context information structure using peer-to-peer networks with the TV users
WebMedia '09 Proceedings of the XV Brazilian Symposium on Multimedia and the Web
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We consider peer-to-peer systems in which peers share structured data through the use of schema mappings. Peers express their queries and rewrite incoming queries on their local schema. We assume the existence of one or more ontologies describing the domain of interest of the peers. The ontologies are used to semantically annotate each peer schema, making explicit the type of information provided by it. A major problem in such a system is that peers cannot easily judge the semantic relativeness of their interests to interests of other peers, as these are expressed by the respective local schemas. Moreover, peers cannot evaluate the semantic relativeness of answers that they receive to their queries. In this paper, we propose a semantic similarity measure for evaluating the semantic relativeness between peer schemas, as well as between queries and their rewritten versions on other peers. The similarity measure is first introduced under the assumption of a shared ontology among the community of peers, and then it is extended, employing ontology matching and translation techniques, to support the comparison of class expressions accross multiple ontologies. The proposed similarity measure adopts the notions of recall and precision from the field of Information Retrieval. Our goal is to use this measure for the identification of semantically relevant peers and the evaluation of the quality of the received answers based on the semantic annotations, the mappings, and the queries issued.