By Yannis Kalfoglou
Semantic interoperability offers the capacity to immediately procedure and combine quite a lot of info with out human intervention. instances on Semantic Interoperability for info platforms Integration: Practices and purposes presents an in-depth research of concerns concerned with the appliance of semantic interoperability to info assimilation projects via box pros. this crucial number of study explains in-depth concerns concerned the mixing of huge quantities of heterogeneous info and issues to deficiencies of present structures.
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E. after authoring time. The main technique used is text-mining, where large corpora of text 10 are automatically processed to detect candidate entities for annotations. Text-miners currently have trouble with detecting “entities” which are not verbally in the text, such as relations between other entities. In fact, relation types (for example interactions between proteins) are well specified in biology and have unique identifiers, but are not always literally present in the text. To quantify the performance of text miners in biology, the BioCreative15 challenge has been launched, providing a platform to evaluate several text mining tools.
It is quite clear that a complete solution to the problem of semantic interoperability must take into account both issues. e. two or more schemas are aligned), then it is still the case that we do not know when two records, for example, refer to the same real world entity; if the second problem is solved, then one can answer queries like “For any table, select any record where the identifier is X” (where “X” is some kind of global key which is used to identify the same entity across any relational table), but it is still the case that we do not know which properties are the same, or comparable, in different records.
Such functionality could Figure 4. Request for support in natural language 14 make a SDN a hub for finding solutions related to SAP Solutions. ) and by third party portals. case description In this section we present the Self-Support Application prototype. Based on this prototype we explain how the problems mentioned in the previous section have been addressed. We assume that ENS reaches critical mass and the structured data about SAP Products is already OKKAMized. The prototype application is based on information extraction technology.