Semantic search has a great potentiality in helping users to make choices, since it appears to ou... more Semantic search has a great potentiality in helping users to make choices, since it appears to outperform traditional keyword-based approaches. This paper presents an ontology-based semantic search method, referred to as influential SemSim (i-SemSim), which relies on the Bayesian probabilistic approach for weighting the reference ontology. The Bayesian approach seems promising when the reference ontology is organized according to a Directed Acyclic Graph (DAG). In particular, in the proposed method the similarity among a user request and semantically annotated resources is evaluated. The user request, as well as each annotated resource, is represented by a set of concepts of the reference ontology. The experimental results of this paper show that the adoption of the Bayesian method for weighting DAG-based reference ontologies allows i-SemSim to outperform the most representative methods selected in the literature.
Encyclopedia with Semantic Computing and Robotic Intelligence, 2017
This paper proposes an advanced searching method, aimed at improving Web Information Systems by a... more This paper proposes an advanced searching method, aimed at improving Web Information Systems by adopting semantic technology solutions. In particular, it first illustrates the main solutions for semantic search and then proposes the semantic search method [Formula: see text] that represents an evolution of the original SemSim method. The latter is based on the annotation of the resources in a given search space by means of Ontology Feature Vectors ([Formula: see text]), built starting from a reference ontology. Analogously, a user request is expressed as a set of keywords (concepts) selected from the reference ontology, that represent the desired characteristics of the searched resources. Then, the searching method consists in extracting the resources having the [Formula: see text] that exhibit the highest conceptual similarity to the user request. The new method, [Formula: see text], improves the above mechanism by enriching the [Formula: see text] with scores. In the user request,...
Recent years have witnessed a continuous evolution of database models towards richer and more exp... more Recent years have witnessed a continuous evolution of database models towards richer and more expressive paradigms. Along the line of enriching the modeling capabilities, Object-Oriented databases (OODBs) have been introduced. In this paper, we propose a further enhancement to OODB models aiming at enriching the database schema by explicitly declaring semantic integrity constraints therein.
This chapter intends to report about the ongoing activities in the COIN European project concerni... more This chapter intends to report about the ongoing activities in the COIN European project concerning semantic reconciliation of business documents for supporting interoperability of software applications in e-government and e-business scenarios. The approach is based on a reference ontology against which business documents are mapped through semantic annotation and building of reconciliation rules. The work starts from the semantic reconciliation suite developed in the ATHENA1 European project and intends to improve the suite by providing an automatic support to the definition of mappings. In order to do that, three automatic services have been developed: (1) semantic annotation of business documents; (2) definition of transformation rules; (3) rules optimization and fusion. A running example concerning the exchange of a legal verification document in a scenario of cross border cooperation between European chambers of commerce will guide through the description of the services.
Haya Shida, Subscribe (Full Service), Register (Limited Service, Free), Login. Search: The ACM Di... more Haya Shida, Subscribe (Full Service), Register (Limited Service, Free), Login. Search: The ACM Digital Library The Guide. ...
Semantic search has a great potentiality in helping users to make choices, since it appears to ou... more Semantic search has a great potentiality in helping users to make choices, since it appears to outperform traditional keyword-based approaches. This paper presents an ontology-based semantic search method, referred to as influential SemSim (i-SemSim), which relies on the Bayesian probabilistic approach for weighting the reference ontology. The Bayesian approach seems promising when the reference ontology is organized according to a Directed Acyclic Graph (DAG). In particular, in the proposed method the similarity among a user request and semantically annotated resources is evaluated. The user request, as well as each annotated resource, is represented by a set of concepts of the reference ontology. The experimental results of this paper show that the adoption of the Bayesian method for weighting DAG-based reference ontologies allows i-SemSim to outperform the most representative methods selected in the literature.
Encyclopedia with Semantic Computing and Robotic Intelligence, 2017
This paper proposes an advanced searching method, aimed at improving Web Information Systems by a... more This paper proposes an advanced searching method, aimed at improving Web Information Systems by adopting semantic technology solutions. In particular, it first illustrates the main solutions for semantic search and then proposes the semantic search method [Formula: see text] that represents an evolution of the original SemSim method. The latter is based on the annotation of the resources in a given search space by means of Ontology Feature Vectors ([Formula: see text]), built starting from a reference ontology. Analogously, a user request is expressed as a set of keywords (concepts) selected from the reference ontology, that represent the desired characteristics of the searched resources. Then, the searching method consists in extracting the resources having the [Formula: see text] that exhibit the highest conceptual similarity to the user request. The new method, [Formula: see text], improves the above mechanism by enriching the [Formula: see text] with scores. In the user request,...
Recent years have witnessed a continuous evolution of database models towards richer and more exp... more Recent years have witnessed a continuous evolution of database models towards richer and more expressive paradigms. Along the line of enriching the modeling capabilities, Object-Oriented databases (OODBs) have been introduced. In this paper, we propose a further enhancement to OODB models aiming at enriching the database schema by explicitly declaring semantic integrity constraints therein.
This chapter intends to report about the ongoing activities in the COIN European project concerni... more This chapter intends to report about the ongoing activities in the COIN European project concerning semantic reconciliation of business documents for supporting interoperability of software applications in e-government and e-business scenarios. The approach is based on a reference ontology against which business documents are mapped through semantic annotation and building of reconciliation rules. The work starts from the semantic reconciliation suite developed in the ATHENA1 European project and intends to improve the suite by providing an automatic support to the definition of mappings. In order to do that, three automatic services have been developed: (1) semantic annotation of business documents; (2) definition of transformation rules; (3) rules optimization and fusion. A running example concerning the exchange of a legal verification document in a scenario of cross border cooperation between European chambers of commerce will guide through the description of the services.
Haya Shida, Subscribe (Full Service), Register (Limited Service, Free), Login. Search: The ACM Di... more Haya Shida, Subscribe (Full Service), Register (Limited Service, Free), Login. Search: The ACM Digital Library The Guide. ...
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Papers by Michele Missikoff