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Firstly, in order for a puny human brain to interpret large and complex data sets, the data sets must first be made "smaller" via aggregation, summarization, description and presentation, which kind of misses the point.
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Table 1 Summarization of service description mechanisms [28] Service description methods Service discovery protocols XML UPnP [8], SSDS [29], GSDL [30], Konark [31], UDDI [10] Attribute/Value Salutation [32], Bluetooth [11], PSDL and PSQL [33] Formal Grammer SLP [9], DEAPspace [34] DAML + OIL GSD [35] Ontology UBIDEV [36], Ronin [37] RDF GloServ [38].
We represented vaccine-symptom pairs as well as the summarization features in Resource Description Framework (RDF).
As the number of documents increases in multi-document summarization, the summarizer gets more difficulties in performing the summarization.
In order to follow easily the explanation of the proposed algorithm, summarization of parameters used in description of the proposed active set management is presented in Table 3. Table 3 Notation of parameters used for description of the proposed algorithm Symbol Definition N i List of neighboring cells of i-th UE, N i = N 1 i, N 2 i, …, N n c i i.
In this case, the amalgamation or summarization of the set of descriptions is more likely to represent the concept as a whole (e.g. the locus, in this example) than any one document in the set.
To aid the reader in conceptualizing Semantic MEDLINE and our work to improve Summarization, we provide the following detailed description.
SHER relies on a unique algorithm based on ontology summarization and combines a traditional in-memory description logic reasoner with a database backed RDF Store to scale reasoning to very large Aboxes.
After listing the used criteria of their research on service definition automation, such as description, matchmaking, combination, and selection, a summarization of the state of the art on this matter is presented, along with the future challenges and directions considered by the authors.
Descriptive statistics were used for data summarization and presentation.
This paper proposes an automatic summarization system for generic audiovisual content based on MPEG-7 compliant summary descriptions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com