theoreticalContext
A work that provides a theoretical or methodological framework.
Research Knowledge Graph, Scholarly Relations, Entity Data, Open Metadata and Public History
Serbian version / Српска верзија
This author-led digital humanities project presents the scholarly and museum work of Miloš Timotijević as a connected, provenance-aware research corpus. It links publications and editions with research clusters, comparative scholarship, named entities, historical sources, structured datasets, persistent identifiers and reusable open data.
Its architecture combines several complementary layers: a publication layer, a thematic cluster layer, a scholarly-context layer, an entity-and-relation layer and reusable dataset distributions. These layers are connected but remain methodologically distinct.
Its principal historical focus is modern Serbian and Yugoslav history, with particular attention to Čačak and western Serbia, local modernity, political culture, war, memory, religious life, cultural heritage, museums and public history.
The project does not replace library catalogues, repositories, DOI registries or scholarly databases. It connects records from these systems with the interpretative structure of an individual scholarly corpus.
The corpus covers modern Serbian history within the wider Yugoslav and Southeast European context. Čačak and western Serbia form an important geographical focus, but local history is not treated as a narrow regional field. It provides an analytical framework for examining broader historical processes in a clearly defined social and cultural setting.
The main subjects include local modernity, urban transformation, socialist modernisation, political culture, symbolic practices, national ideology, war, occupation, propaganda, memory culture, religious practices, public space, cultural heritage, museum interpretation, sport and the public use of the past.
Čačak and western Serbia therefore serve as case-study settings through which broader processes of modernisation, political mobilisation, war, memory and cultural change can be examined in local institutions, public spaces, rituals, monuments, museums, sacred sites and everyday life.
The knowledge graph organises the corpus through research relationships rather than presenting publications only in chronological or bibliographic order. It connects individual works with broader themes and longer-term lines of research.
The main research framework, Local Modernity and Symbolic Power in Southeast Europe , connects seven research clusters:
The clusters are interpretative and not mutually exclusive. A publication may have a principal place in one cluster while also relating to several others. Cluster membership represents a historiographical judgement rather than an automatically generated classification.
The cluster layer is one view of the corpus rather than the whole graph. Other layers describe named entities, historical sources, datasets and relations to external scholarship.
Alongside the thematic clusters, the project maintains an Entity Graph of the Research Corpus. This layer identifies people, institutions, places and historical sources found in selected publications and assigns stable internal identifiers to them. It makes recurring actors, institutions, locations and source materials traceable across otherwise different studies.
Relations are represented as structured statements in the form subject → relation → object. Controlled predicates distinguish different kinds of claims, such as authorship, visits, places of birth or death, institutional preservation of sources, use of historical sources and the subject matter of publications.
The entity layer is provenance-aware. A relation may record the publication that provides its evidential or analytical context (source_id), the relevant page or section (evidence_page), a short explanation (evidence_note) and a confidence value. Historical sources are also modelled as entities in their own right and are therefore distinguished from the publication used to document a relation.
Current pilot status: version 0.9 covers 51 publications and connects 118 people, 91 institutions, 72 places and 43 historical sources through 22 controlled relation types and 1,012 source-based relations. These figures describe the current pilot and will change as the corpus expands.
The underlying entity and relation files can be inspected and downloaded from the Entity Graph data downloads.
The project distinguishes between an intellectual work, a particular published edition and the records that describe them in catalogues, repositories, identifier systems and scholarly databases. These records may refer to the same work or edition, but they are not interchangeable.
It also distinguishes verifiable bibliographic metadata from interpretative relationships. Author names, titles, publication dates, publishers, ISBNs, DOI values and library records can be checked against external sources. Connections between a publication, a research theme and a cluster are based on historiographical interpretation.
This distinction helps readers understand which parts of the graph describe recorded facts and which parts express an analytical reading of the corpus. A fuller explanation is available on the Method page.
The same principle applies to datasets and entity relations: a recorded field or identifier can be verified against a source, while the decision to model a thematic, comparative or conceptual relationship remains an explicit scholarly judgement.
Selected publications are linked to relevant external scholarship through a curated research-discovery layer. These links are intended to situate individual works within broader historiographical, theoretical and comparative contexts without rewriting the bibliography of the original publication.
theoreticalContextA work that provides a theoretical or methodological framework.
comparativeCaseWithA study or case that supports direct historical or regional comparison.
broaderContextScholarship that places a publication in a wider historical, regional or thematic setting.
conceptuallyRelatedToA work addressing a closely related concept or problem without constituting a direct comparison.
Important: these retrospective scholarly relations do not, by themselves, mean that the linked work was cited in the original publication. Citation in the publication and contextual linkage in the knowledge graph are separate claims.
Some contextual relations are displayed directly to readers, while others remain only in structured machine-readable layers. Labels such as visible, visibleCore, machine-only and extended describe modes of presentation and curation, not levels of scholarly value.
The project connects several types of external records and services. They have different functions and are not treated as equivalent sources.
ORCID iD, VIAF ID, ISNI, GND ID, LCCN and CONOR records help connect different forms of an author’s name across languages, scripts and cataloguing systems.
DOI and other persistent identifiers may refer to a work, a particular edition, a publication landing page or a repository version. Their function is recorded separately whenever the distinction is significant.
COBISS, WorldCat and related authority systems provide bibliographic and identity records for authors and publications.
Zenodo and related repositories preserve and provide access to deposited publications, datasets and supporting materials.
Crossref and DataCite register and exchange DOI metadata, while OpenAlex, Google Scholar, Web of Science and eNauka aggregate or index scholarly records.
Wikidata connects people, works, institutions, places and research concepts within a public and reusable knowledge graph.
Publication landing pages provide dedicated access points within this website. They connect bibliographic descriptions with DOI links, repositories, Wikidata items, library records, external profiles and research clusters.
The Data section provides downloadable CSV, JSON and JSON-LD resources for publications and identifiers. The entity layer adds dedicated tables for people, institutions, places, historical sources, controlled relation types and source-based relations, together with an entity graph and integrity manifest.
The structure of the files, controlled values, DOI distinctions, licensing terms and citation guidance are documented in the Data Dictionary .
Where a publication contains a structured register, index or reusable tabular corpus, that component may also be represented as a Schema.org Dataset linked to the publication. A dataset may be embedded in the landing page or distributed separately when a separate file is methodologically useful; a separate file is not required merely because a Dataset node exists.
The project brings together historical interpretation, bibliographic description, knowledge organisation, structured metadata, open data and public history within an author-led scholarly website.
Digital methods are used not merely to disseminate publications but to model relationships among works, editions, research concepts, named entities, historical sources, datasets and external scholarship. Controlled vocabularies, provenance fields and machine-readable relations make those connections explicit and reusable while keeping them grounded in historical source criticism.
The project therefore treats the website as research infrastructure: a human-readable scholarly interface is paired with structured data that can be inspected, downloaded, compared and reused by other researchers and digital systems.
This approach is particularly relevant to humanities publications, museum catalogues, local-history studies and non-English scholarship that may be incompletely represented in international discovery systems. Connecting such work with persistent identifiers, authority records and reusable data makes it easier to find, verify and cite.
This is an author-led scholarly corpus, not an institutional repository, a national bibliography or a replacement for library catalogues, DOI registries and scholarly databases.
The corpus is maintained and expanded as new publications, landing pages and verified external records are added. The absence of a particular identifier does not imply that a publication is less significant; it may simply mean that the corresponding record has not yet been added or verified.
External services may update their records slowly, display incomplete metadata or introduce errors. Links and identifiers are therefore checked periodically, but their appearance in third-party systems remains outside the direct control of this website.
Research clusters and thematic relationships are reasoned interpretations of the corpus. They are not the only possible classification and should not be treated as automatically generated or definitive categories.
Bibliographic metadata may be reused under the terms stated in the Data section. The metadata licence does not cover full texts, photographs, illustrations or other material protected by copyright and related rights.
The entity graph remains a pilot and does not yet provide complete coverage of all people, institutions, places or historical sources represented across the full publication corpus.
Comparative and contextual scholarly relations are curated interpretations. They are not automatically generated recommendations and should be read as documented research judgements.
Machine-readable layers may contain more contextual detail than the visible landing page. This is intentional: structured data can support discovery and interoperability without turning every publication page into an extended visible bibliography.
Miloš Timotijević, “About this Digital Humanities Project,” in Miloš Timotijević — Academic Profile and Knowledge Graph , accessed [date].
Individual publications should normally be cited through the publication itself, its main DOI, a specific edition or a repository record. When structured publication, entity or relation data are reused, the relevant data file and its documentation should also be cited.
Last updated: 28 September 2026.