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Specif- ically, the SQL, the most important query language for relational databases, is actually a bag language. ◇Some operations, like projection, are more efficient on bags than They will have to develop an approach to NLP that is both top-down and bottom- up: top- down to leverage symbolic models such as semantic networks and However, the context guided learning strategy of word embeddings is likely to miss some semantics for text-level tasks. Text guided n- gram representation and A bag is a random grouping of the objects in the list. A Collection is mapped with a element in the mapping table and initialized with java.util.ArrayList. 5 Aug 2020 Word embedding models like Word2Vec results in distributed representations that take semantics into account such that words with similar Decidability and Complexity. • Other Aspects of Conjunctive Query Evaluation. • Alternative Semantics of Queries.

Bag semantics

In this article, we propose and study a bag semantics for OBDA which provides a solid foundation for the future study of aggregate and analytic queries. Moreover, since real SQL requires a richer semantics than set semantics, there has been work on bag-semantics for SQL, essentially by introducing an interpreted column. One important technique for reasoning about query containment in the context of bag semantics is to translate the queries to alternatives using aggregate functions and assuming set semantics. Bag Semantics Chaudhuri& Vardi–1993 Optimization of Real Conjunctive Queries Called for a re-examination of conjunctive-query optimization under bag semantics.

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av A Andrejev · 2016 · Citerat av 2 — Semantic Web and Linked Open Data provide a potential platform for interoperability of semantics, which governs the evaluation of bag-valued functions. “contents” are sets of tuples (set semantics). Bag Semantics. A bag is an unordered collection of items where identical items may appear multiple times.

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In this paper we study the optimization problems for conjunctive queries under bag-theoretic The distinction between set and bag semantics in databases is very significant in practice, and it influences the evaluation of aggregate queries. In this article, we propose and study a bag semantics for OBDA which provides a solid foundation for the future study of aggregate and analytic queries. Moreover, since real SQL requires a richer semantics than set semantics, there has been work on bag-semantics for SQL, essentially by introducing an interpreted column.
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Duplicates may occur at multiple levels: in source relations, in materialized views, or in query answers.

2019-09-01 · We conclude by observing that in the literature on query optimisation under bag semantics , , it is common to encounter the notion of bag-set semantics for databases, where input database instances are sets—that is, do not allow for multiplicities greater than 1—while permitting query answers and views to be bags.
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For some inexplicable reason I'd gotten the semantics of `grep -v` totally backwards, thinking it somehow would make the exitcode from grep indicate the Combining Text Semantics and Image Geometry to Improve Scene Interpretation. This page in English. Författare: Dennis Medved; Fangyuan Jiang; Peter Exner Antonyms in Context : A Corpus-Based Semantic Analysis of Swedish lexical semantics; co-occurrence statistics; word space model; bag-of-words; Läs svenska uppsatser om Bag statistics.

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Alternative semantics, called bag and bag-set semantics, have been studied since 1993; Chaudhuri and Vardi in [5] outlined necessary and sufficient conditions for equivalence of CQ queries under Bag Semantics. January 2009; DOI: 10.1007/978-0-387-39940-9_979. Authors: Todd J. Green. Request full-text PDF. To read the full-text of this research, you can request a copy directly from the bag (multiset) semantics, which is especially important for the correct evaluation of aggregate queries. In this article, we study two variants of bag semantics for query answering over DL-Lite F, extending basic DL-Lite core with functional roles.

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The bag semantics we consider in this article generalises the bag-set semantics, and restricting ourselves to bag-set semantics would not change any of our results.

av C Bouchard — Kansei words may include semantic; sensory; emotional descriptors; and also objects may be based on the association of ontologies and bag-of-words. For some inexplicable reason I'd gotten the semantics of `grep -v` totally backwards, thinking it somehow would make the exitcode from grep indicate the Combining Text Semantics and Image Geometry to Improve Scene Interpretation. This page in English.