⋈ Семантическая библиотека

LibMeta

The “Information and Mathematical Technologies” journal (IMT), two encyclopedias and six thesauri in a single knowledge graph. Links between articles, concepts, authors and formulas are inferred logically — none of the sources contains them on its own.

19 147 publications · 13 904 concepts · 13 922 persons · 12 124 formulas

Поиск идёт по индексу GraphDB: понятия, статьи, персоны, формулы, коды УДК/MSC.

Готовые запросы к графу

Каждая карточка — сохранённый SPARQL-запрос из рабочего репозитория LibMeta. Открывается как интерактивный граф с таблицей результатов; любой объект кликабелен и ведёт к своему локальному контексту.

∑

Journal topic profile

Thesaurus concepts the journal writes about. The dcterms:subject link is never stored explicitly — it is inferred from mentions in titles, abstracts and keywords (links-imt graph).

Открыть граф →

∪

Which thesauri “cover” the journal

Publication → concept links grouped by the named graph the concept lives in: how much of each vocabulary shows up in the journal.

Открыть граф →

∂

Topic dynamics by year

Topic ← article ← issue (issue dcterms:date). The chain “thesaurus concept — journal year” is stored in no single graph: it is assembled across three graphs plus inference.

Открыть граф →

≈

Implicit “similar articles” link

Pairs of journal publications sharing at least two thesaurus concepts. This link does not exist in the data at all — it emerges from inferred dcterms:subject.

Открыть граф →

↺

Internal citations

An article cites an article of the same journal (dcterms:references inferred from imt:cites) and the pair shares a thesaurus concept — a citation “on topic”.

Открыть граф →

†

Most cited works and their authors

Works the journal articles cite most. dcterms:references inferred from imt:cites, dcterms:creator from imt:authoredBy.

Открыть граф →

∈

Where exactly a concept appears in articles

MocassinPlus markup: concept → fragment (mentionsConcept) → article (segmentOf) → journal. The fragment type shows the role of the mention: abstract, introduction, section, theorem… Example — “machine learning”.

Открыть граф →

⊢

Formal mathematics of the journal

Theorems, definitions, corollaries and examples (full-text markup) that mention thesaurus concepts — “the journal contains formal statements about concept X”.

Открыть граф →

Semantics of UDC headings

Which thesaurus concepts stand behind the journal's UDC codes: codes and concepts co-occur in articles. Both are lib:Concept by inference, but the link between them exists only through publications.

Открыть граф →

≔

The journal's control-theory glossary

Thesaurus terms mentioned in articles, with definitions from the thesaurus and article counts. Definitions come from the controltheory graph, links are inferred from links-imt: the journal gets a ready glossary of its own terminology.

Открыть граф →

Articles for a given term

Articles for a control-theory term — showing where the term was found (title / abstract / keywords): the explicit subproperty comes from links-imt, the thesaurus filter from controltheory. Example — “machine learning”.

Открыть граф →

⋈

Authors in control theory and their terms

Journal authors working in control theory and the terms their papers are linked to. The lbma:auth property is inferred from imt:hasAuthor.

Открыть граф →

Terms in article full texts

Where control-theory terms occur in article full texts (MocassinPlus markup): fragment type and section heading show the term's role — introduction, method, theorem, figure caption…

Открыть граф →