Identifying data instances, that come from differ-ent sources but denote the same entity is neces-sary for effective integration of Semantic Web data. This “instance coreference ” identification problem has gained attention in recent years. Although this is a critical aspect of the overall information inte-gration problem in the Semantic Web, we put for-ward that information integration algorithms also need to be extended in order to work effectively and efficiently in the presence of these coreferenced entities (whether they are discovered by a tool or explicitly stated with an owl:sameAs assertion). We describe such an extension to our Goal Node Search algorithm for Semantic Web information in-tegration.
The evolution of the Web of documents into a Web of services and data has resulted in an increased a...
Linked Data describes an extensive set of structured but heterogeneous datasources where entities ...
The amount of Semantic Web data is growing rapidly today. Individual users, academic institutions an...
Abstract. Due to the decentralized nature of the Semantic Web, the same real world entity may be des...
Abstract: Semantic Web data proliferates with the rapid growth of the semantic Web. An object on th...
Entity coreference is the process to decide which identi-fiers (e.g., person names, locations, ontol...
Due to the decentralized nature of the Semantic Web, the same real-world entity may be described in ...
Data integration is a broad area encompassing techniques to merge data between data sources. Althoug...
Much of the Semantic Web relies upon open and unhindered interoperability between diverse systems; t...
Much of the Semantic Web relies upon open and unhindered interoperability between diverse systems; t...
Schema heterogeneity issues often represent an obstacle for discovering coreference links between in...
Abstract. One challenge for Linked Data is scalably establishing high-quality owl:sameAs links betwe...
We present an efficient search approach for selecting all potentially relevant data sources for a co...
Systems based on statistical and machine learning methods have been shown to be extremely effective ...
Information about the same entity may be spread across several Web data sources, e.g., people on the...
The evolution of the Web of documents into a Web of services and data has resulted in an increased a...
Linked Data describes an extensive set of structured but heterogeneous datasources where entities ...
The amount of Semantic Web data is growing rapidly today. Individual users, academic institutions an...
Abstract. Due to the decentralized nature of the Semantic Web, the same real world entity may be des...
Abstract: Semantic Web data proliferates with the rapid growth of the semantic Web. An object on th...
Entity coreference is the process to decide which identi-fiers (e.g., person names, locations, ontol...
Due to the decentralized nature of the Semantic Web, the same real-world entity may be described in ...
Data integration is a broad area encompassing techniques to merge data between data sources. Althoug...
Much of the Semantic Web relies upon open and unhindered interoperability between diverse systems; t...
Much of the Semantic Web relies upon open and unhindered interoperability between diverse systems; t...
Schema heterogeneity issues often represent an obstacle for discovering coreference links between in...
Abstract. One challenge for Linked Data is scalably establishing high-quality owl:sameAs links betwe...
We present an efficient search approach for selecting all potentially relevant data sources for a co...
Systems based on statistical and machine learning methods have been shown to be extremely effective ...
Information about the same entity may be spread across several Web data sources, e.g., people on the...
The evolution of the Web of documents into a Web of services and data has resulted in an increased a...
Linked Data describes an extensive set of structured but heterogeneous datasources where entities ...
The amount of Semantic Web data is growing rapidly today. Individual users, academic institutions an...