It takes the average reader and 32 minutes to read Discovering of Semantic Associations by Timo Niemi
Assuming a reading speed of 250 words per minute. Learn more
Abstract: "In contemporary query languages the user is responsible for the specification of navigation among semantically related data. Because of the huge amount of data and complex structural relationships among data in modern applications it is unrealistic to suppose that the user could know completely the content and structure of available information. There are several query languages whose idea is to facilitate navigation in unknown structures of databases, e.g., a navigation path can contain unknown parts. However the background assumption of these languages is that the user knows how data are related to each other semantically in the structure at hand. So far only little attention has been paid to how unknown semantic associations among available data can be discovered. We address this problem in this paper. A semantic association between two entities can be constructed if such a sequence of relationships expressed explicitly in a database can be found that connects these entities to each other. This sequence may contain several other entities through which the original entities are connected to each other indirectly. We introduce an expressive and declarative query language for discovering semantic associations. In addition to discovering semantic associations between entities given explicitly, our query language is able to discover semantic associations between entities that are only known for some of their characteristics. Further, it integrates the manipulation of semantic associations with the manipulation of documents which may contain information on entities in semantic associations. Because a semantic association may contain several relationships and entities, the results of queries are represented on the basis of natural language in order to facilitate correct interpretation by the user. We also categorize several query types and give sample queries on them. These sample queries demonstrate how also complex queries can be expressed compactly and intuitively in our language."
Discovering of Semantic Associations by Timo Niemi is 32 pages long, and a total of 8,064 words.
This makes it 11% the length of the average book. It also has 10% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes and 44 minutes to read Discovering of Semantic Associations aloud.
Discovering of Semantic Associations is suitable for students ages 8 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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