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Bx-tree

query and update efficient B+ tree-based index structure for moving objects

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Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionDec 22, 2025
Entity authorityQ5003703
Source-derived summary

In computer science, the Bx tree is a query that is used to update efficient B+ tree-based index structures for moving objects.

Index structure

The base structure of the Bx-tree is a B+ tree in which the internal nodes serve as a directory, each containing a pointer to its right sibling. In the earlier version of the Bx-tree, the leaf nodes contained the moving-object locations being indexed and corresponding index time. In the optimized version, each leaf node entry contains the id, velocity, single-dimensional mapping value and the latest update time of the object. The fanout is increased by not storing the locations of moving objects, as these can be derived from the mapping values.

Utilizing the B+ tree for moving objects

As for many other moving objects indexes, a two-dimensional moving object is modeled as a linear function as O = ((x, y), (vx, vy), t ), where (x, y) and (vx, vy) are location and velocity of the object at a given time instance t, i.e., the time of last update. The B+ tree is a structure for indexing single-dimensional data. In order to adopt the B+ tree as a moving object index, the Bx-tree uses a linearization technique which helps to integrate objects' location at time t into single dimensional value. Specifically, objects are first partitioned according to their update time. For objects within the same partition, the Bx-tree stores their locations at a given time which are estimated by linear interpolation.

Editorial summary

Begin with the source’s own compact description: “Bx-tree” is query and update efficient B+ tree-based index structure for moving objects. The dossier treats that line as a proposition to test through Bx-tree, query and update, not as a finished interpretation.

Editorial reviewA concise reference frame for defining the subject, testing terminology and identifying the institution closest to the evidence. The current 245-word lead offers orientation but no explicit four-digit date, so chronology should not be assumed. The selected authority fields contribute no independent date. For this dossier, Bx-tree, query and update is the immediate research focus.
Editorial analysis

Why this record matters

The phrase “query and update efficient B+ tree-based index structure for moving objects” supplies a clear boundary for inquiry. It also exposes the unanswered questions: who defined that boundary, when it became stable and which sources sit outside it.

Evidence profile

Vocabulary and entity names are the principal evidence signals here, because they determine the precision of every later search. The source revision retrieved here is dated Dec 22, 2025. The linked authority identifier is Q5003703. None of the 0 selected statements returned an explicit reference.

Critical limits

A concise general-reference account can conceal disagreements about scope, terminology or the weight assigned to individual sources. The source lead contains qualifying language; that uncertainty should survive quotation, summary and reuse. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.

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  2. Expand the search: follow Bx-tree primary sources, Bx-tree archive and Bx-tree research across catalogues and specialist indexes.
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Source & attribution

This entry incorporates text from Bx-tree” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.