Matches in ScholarlyData for { ?s ?p ?o. }
- 40 creator andrei-tamilin.
- 40 creator bernardo-magnini.
- 40 creator christian-girardi.
- 40 creator luciano-serafini.
- 40 creator mathew-joseph.
- 40 creator roberto-zanoli.
- 40 type InProceedings.
- 40 label "Context-driven Semantic Enrichment of Italian News Archive".
- 40 sameAs 40.
- 40 abstract "In this work we introduce ``context-driven semantic enrichment'', aiming at annotating textual expressions with the metadata that are semantically relevant for the specific context in which such expressions occur. The great benefit is that context-dependent information (e.g., occupations of people changing during the time) will be enriched with the appropriate semantic tags according to the different contexts. Context-driven semantic enrichment builds upon three core tasks: automated extraction of named entities (i.e., people, locations and organizations) from text; semantic integration techniques for organizing the background knowledge by means of ontologies populated with the extracted named entities; individuation of the mapping between entities found in text and their ontological counterparts using contextual constraints derived from text (e.g., temporal, geographic and thematic constraints). The approach has been fully implemented in a system, which has been practically deployed and applied to the textual archive of the local Italian newspaper ``L'Adige'', covering the decade of years from 1999 to 2009.".
- 40 hasAuthorList authorList.
- 40 isPartOf proceedings.
- 40 keyword "context-driven semantic enrichment".
- 40 keyword "contextualized knowledge representation".
- 40 keyword "knowledge extraction".
- 40 title "Context-driven Semantic Enrichment of Italian News Archive".
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- item-1 hasContent andrei-tamilin.
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- item-2 hasContent luciano-serafini.
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- item-3 hasContent bernardo-magnini.
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- item-4 hasContent christian-girardi.
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- item-5 hasContent roberto-zanoli.
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- item-6 hasContent mathew-joseph.
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- 45 creator christos-koumenides.
- 45 creator igor-popov.
- 45 creator tope-omitola.
- 45 creator yang-yang.
- 45 type InProceedings.
- 45 label "Put in your postcode, out comes the data: A Case Study".
- 45 sameAs 45.
- 45 abstract "A single datum or a set of a categorical data has little value on its own. Combination of disparate sets of data increases the value of those data sets and helps to discover interesting patterns or relationships, facilitating the construction of new applications and services. In this paper, we describe an implementation of using open geographical data as a core set of ``join points'' to mesh different public datasets. We describe the challenges faced during the implementation, which include, sourcing the datasets, publishing them as linked data, and normalising these linked data in terms of finding the appropriate ``join point''(s) from the individual datasets, as well as developing the client application used for data consumption. We describe the design decisions and our solutions to these challenges. We conclude by drawing some general principles from this work.".
- 45 hasAuthorList authorList.
- 45 isPartOf proceedings.
- 45 keyword "Data Consumption".
- 45 keyword "Data Publication".
- 45 keyword "Linked Data".
- 45 keyword "Public Open Data".
- 45 keyword "Public Sector Information".
- 45 title "Put in your postcode, out comes the data: A Case Study".
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- item-1 hasContent tope-omitola.
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- item-2 hasContent igor-popov.
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- item-3 hasContent yang-yang.
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- item-4 hasContent christos-koumenides.
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- 56 creator chen-zhou.
- 56 creator howard-beck.
- 56 creator jeff-depree.
- 56 creator stanley-su.
- 56 creator xuelian-xiao.
- 56 type InProceedings.
- 56 label "Ontology Management in an Event-Triggered Knowledge Network".
- 56 sameAs 56.
- 56 abstract "This paper presents an ontology management system and ontology processing techniques used to support a distributed event-triggered knowledge network (ETKnet), which has been developed for deployment in a national network for rapid detection and reporting of crop disease and pest outbreaks. The ontology management system called Lyra, is improved to addresses the issues of terminology mapping, rule service discovery, and large ABox’s query processing. A domain ontology that covers the concepts related to events, rules, roles and collaborating organizations in ETKnet was developed. Terms used by different organizations can be located in the ontology by terminology searching. Services that implement knowledge rules and rule structures can be discovered through semantic matching using the concepts defined in the ontology. A tableau algorithm was extended to lazy-load only the needed instances and their relationships into main memory. With this extension, Lyra is capable of processing a large ontology database stored in secondary storage even when the ABox cannot be entirely loaded into memory.".
- 56 hasAuthorList authorList.
- 56 isPartOf proceedings.
- 56 keyword "matchmaking".
- 56 keyword "tableau".
- 56 keyword "terminology".
- 56 title "Ontology Management in an Event-Triggered Knowledge Network".
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