Information Sharing on the Semantic Web by Heiner Stuckenschmidt;Frank van Harmelen

By Heiner Stuckenschmidt;Frank van Harmelen

Aboutthebook The good fortune of the knowledge society The speedy development of the “information society” some time past decade has been made attainable by way of the removing of many technical limitations. generating, storing, and transporting info in huge amounts are not any longer signi?cant difficulties. generating online, digitized details isn't any longer an issue. Ever extra of our advertisement, scienti?c and private details exchanges occur online in electronic shape. within the expert area, close to a hundred% of all o?ce files areproducedindigitalform(evenifafterwardstheyaredistributedinpaper form), huge components of the scienti?c discourse at the moment are occurring in electronic shape (with physics, machine technology and astronomy taking a number one role). within the public area, newspapers can be found online, progressively more radio and tv stations o?er their fabric online in streaming shape and e-government is a crucial topic for public management. Even within the own quarter, details is swiftly relocating online: revenues of electronic cameras are actually greater then for analogue cameras, email and online chat became very important channels for keeping social family members and for private leisure the electronic DVD is swiftly exchanging the analogue video tape. Compact disk (itself already electronic) is less than critical strain from online track in MP3 structure from quite a few assets. in brief: p- ductionofon-lineinformationisnowthenorminvirtuallyallareasofourlife. Storing such info within the required volumes can also be now not a problem.

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The simplest forms of disagreement in the interpretation of information are homonymy (the use of the same word with different meanings) and synonymy (the use of different words with the same meaning). However, these problems can be solved by one-toone structural mappings. Therefore, most existing converter and mediator systems are able to solve semantic conflicts of this type. More interesting are conflicts where one-to-one mappings do not apply. In this case, the semantics of information has to be taken into account in order to decide how different information items relate to each other.

2000a], the semantics of an information source is described by a separate ontology. In principle, the “source ontology” can be a combination of several other ontologies but it cannot be assumed that the different “source ontologies” share the same vocabulary. At a first glance, the advantage of multiple-ontology approaches seems to be that no common and minimal ontology commitment [Gruber, 1995] about one global ontology is needed. Each source ontology could be developed without reference to the other sources or their ontologies, no common ontology with the agreement of all sources is needed.

Semantic conflicts occur whenever two systems do not use the same interpretation of the information. The simplest forms of disagreement in the interpretation of information are homonymy (the use of the same word with different meanings) and synonymy (the use of different words with the same meaning). However, these problems can be solved by one-toone structural mappings. Therefore, most existing converter and mediator systems are able to solve semantic conflicts of this type. More interesting are conflicts where one-to-one mappings do not apply.

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