Islam West Africa Collection (IWAC)

它列出的 39 个工具

“只读”和“会改数据”是服务方自己标的。带下划线的参数是必填的。

1. explore_corpus只读

   Research workbench

   Selection workbench: items, concordance, coverage, compare (requires comparison), attention, aliases, or paginated manifest/CSL-JSON/BibTeX exports. Exact filters intersect. limit/offset also page compare/coverage/attention cells. Coverage measures archive availability. Exports identify this page and dataset snapshot; compare snapshot IDs across pages. Schema discovery: iwac://datasets/{subset}.

   mode subset selection comparison offset limit link

2. fetch只读

   Fetch IWAC item

   Retrieve the full text and metadata of one IWAC item by an id returned from `search` (format '<category>:<number>', e.g. 'articles:28576'). Returns {id, title, text, url, metadata}: `text` is the item's OCR / abstract / transcription / description, `url` is the canonical islam.zmo.de link to cite, and `metadata` holds the remaining fields (author, date, country, newspaper, AI sentiment, …). Categories: articles, publications, references, documents, index, audiovisual, images.

   id

3. get_article只读

   Get article details

   Get one article (by id): full metadata, the AI abstract (description_ai), AI sentiment, and OCR text, in 25k-char parts (follow `next_offset`). Pass a `keyword` to get ~2000-char excerpts around each match instead.

   article_id keyword context_chars max_excerpts offset

4. get_audiovisual只读

   Get audiovisual details

   Get one audiovisual record by id: full description and transcription (where one exists), creator/publishing channel, duration, medium, subjects, places, language, rights, source, and three distinct links: `url` (the IWAC page, the one to cite), `external_url` (where a harvested video plays) and `media_url` (a deposited file). `source_type` says which to expect. A long transcription comes in 25k-char parts (follow `next_offset`); `keyword` returns excerpts instead.

   audiovisual_id keyword offset

5. get_collection_stats只读

   Collection statistics

   Overall statistics for every IWAC subset, including `fulltext_coverage` — how many items in each subset actually carry searchable full text in this dataset. Read that before treating any keyword count as a full-text census.

6. get_cooccurrence只读

   Co-occurrence matrix

   Count pairs of metadata values co-tagged on the same items. Matrix/network views show descriptive associations, not causal links. Filters apply before pair counting; top_n caps the vocabulary.

   field subset keyword country newspaper subject date_from date_to hijri_month hijri_year keyword_mode keyword_aliases exact top_n

7. get_country_comparison只读

   Compare countries

   Compare article counts, newspaper counts, date ranges, and claude-haiku-5-5 polarity across countries.

8. get_document只读

   Get document details

   Get one archival document (by id): full metadata, AI description, and OCR text, in 25k-char parts (follow `next_offset`). Pass a `keyword` to get ~2000-char excerpts around each match instead, useful for long documents.

   document_id keyword context_chars max_excerpts offset

9. get_field_distribution只读

   Rank a field's values

   Rank exact metadata values, splitting pipe-separated tags. Reports missing metadata and optional coverage over time. Choose spatial for mentioned places, country for stored country tags, or subject/author/language.

   field subset keyword country newspaper subject date_from date_to hijri_month hijri_year keyword_mode keyword_aliases exact top_n over_time

10. get_image只读

    Get photograph details

    Get one photograph by id: title, photographer, capture date, place and coordinates, subjects, rights, the IIIF manifest, and the full-resolution `image_url`. The server returns URLs, not image bytes.

    image_id

11. get_index_entry只读

    Get index entry details

    Get full details of an index entry by id (raw dataset columns, French names — Titre, Prénom, Coordonnées…).

    entry_id

12. get_lexical_metrics只读

    Press language metrics

    Text length, lexical richness and readability by country/newspaper/year. Metrics are precomputed; readability is French-specific and excludes other languages. Missing values are disclosed. Compare distributions as descriptive evidence.

    group_by keyword country newspaper subject date_from date_to hijri_month hijri_year keyword_mode keyword_aliases exact top_n

13. get_newspaper_stats只读

    Newspaper statistics

    Per-newspaper article counts and date ranges.

    country

14. get_place_distribution只读

    Places on a map

    Place tags joined to authority coordinates. Separates publication countries from mentioned places; missing geocodes are counted explicitly.

    subset keyword country newspaper subject date_from date_to hijri_month hijri_year keyword_mode keyword_aliases exact top_n

15. get_publication_fulltext只读

    Get publication full text

    Full OCR text of a publication in 25k-char parts (follow `next_offset`), or ~2000-char excerpts around keyword matches (accent-insensitive; capped: see match_count vs excerpts_returned).

    publication_id keyword context_chars max_excerpts offset

16. get_reference只读

    Get reference details

    Full bibliographic record for one academic reference (by id), including the complete abstract (present for ~51% of references), subjects, DOI/URL, and host-work details (book, volume, issue, pages).

    reference_id

17. get_semantic_map只读

    Semantic scatter

    Stable-hash sample of matching stored embeddings, projected with PCA. Reports eligible, invalid, missing and capped counts, seed and explained variance. Group counts describe the sample. Coordinates are chart-only; this is not the published UMAP landscape. Needs no API key.

    subset keyword country newspaper subject date_from date_to hijri_month hijri_year keyword_mode keyword_aliases exact color_by limit

18. get_sentiment_distribution只读

    Aggregate AI sentiment

    Aggregate AI labels over a shared selection. model:"all" compares independent annotators and their coverage; model:"consensus" reads the stored panel majority. Choose compare_models and agreement_field for pairwise Cohen's kappa and quadratic weighted kappa, with explicit denominators. Labels are interpretations, not ground truth; subjectivity is weak evidence and its caveat must accompany findings.

    keyword country newspaper subject date_from date_to hijri_month hijri_year keyword_mode keyword_aliases exact model compare_models agreement_field

19. get_similar_items只读

    Find similar items

    Nearest stored embeddings by cosine similarity. Articles and documents lead with the dataset's published top 10. Scores run high (unrelated ~0.7) and rank reading candidates; >= 0.97 suggests a near-duplicate, but no threshold proves a reprint. Returns source IDs and dates. Corpus-wide candidate generation belongs offline.

    id subset limit min_score

20. get_temporal_distribution只读

    Coverage over time

    Counts by Gregorian or Hijri year/month, or pooled lunar month. Group by country/newspaper. Partial dates and missing lunar dates are disclosed. normalize_by returns numerator counts and per-bucket denominators in the same country/outlet/date scope, removing thematic filters. Shares describe IWAC holdings.

    keyword country newspaper subject date_from date_to hijri_month hijri_year keyword_mode keyword_aliases exact normalize_by subset granularity calendar group_by

21. get_topic_distribution只读

    Topic distribution

    Counts of offline LDA topic assignments, optionally over time. Topic labels are interpretive model outputs; exact topic_id filters select assignments rather than keyword matches. Reports unclassified coverage.

    subset keyword country newspaper subject date_from date_to hijri_month hijri_year keyword_mode keyword_aliases exact min_prob over_time top_n

22. list_audiovisual只读

    List audiovisual materials

    List audiovisual materials, newest first (francophone web video from Burkina Faso, Togo and Benin; deposited Nigerian Hausa/Arabic recordings). Filter by country, publishing channel or `source_type`.

    country publisher source_type limit offset

23. list_locations只读

    List lieux from the index

    List lieux from the IWAC index, sorted by frequency (most-referenced first). The optional 'country' filter selects entries that APPEAR IN records from that country (mentioned-in, not located-in), ranked by collection-wide 'frequency' — so foreign and cross-border entries can appear. Nigeria reaches only the few entries its references mention (index frequency counts articles, publications and references; no article is Nigerian).

    limit offset country

24. list_periodicals只读

    List periodicals

    List the Islamic periodical/series titles in the publications subset, with issue counts and year ranges. Use the returned newspaper value as the `newspaper` filter on search_publications.

    country

25. list_persons只读

    List personnes from the index

    List personnes from the IWAC index, sorted by frequency (most-referenced first). The optional 'country' filter selects entries that APPEAR IN records from that country (mentioned-in, not located-in), ranked by collection-wide 'frequency' — so foreign and cross-border entries can appear. Nigeria reaches only the few entries its references mention (index frequency counts articles, publications and references; no article is Nigerian).

    limit offset country

26. list_subjects只读

    List sujets from the index

    List sujets from the IWAC index, sorted by frequency (most-referenced first).

    limit offset

27. search只读

    Search IWAC

    Search the Islam West Africa Collection across newspaper articles, Islamic publications, archival documents, academic references, audiovisual recordings, photographs, and the authority index (persons/places/organisations/events/subjects). Pass ONE concept or name — e.g. 'Tijaniyya', 'laïcité', 'Sheikh Gumi', 'pèlerinage'. Matching is accent- and case-insensitive; a multi-word query requires every word to appear somewhere in the item, so prefer a single concept per call. Write query strings and concept keywords in French for press/publication/document/index discovery even when the user's report language is not French. Academic references are multilingual, so try French and English title/abstract terms when relevant; metadata/filter labels remain French. Use the French transliteration of Islamic terms (Tabaski not 'Eid al-Adha', charia not 'sharia', Maouloud not 'Mawlid'). Returns {results:[{id,title,url,category}], ranking}; each result's `category` names its subset and the `ranking` fi

    query limit

28. search_articles只读

    Search newspaper articles

    Search IWAC newspaper articles by keyword (title + OCR + AI abstracts, French and English), country, newspaper, subject, and date range. Use French concept keywords regardless of the user's report language. Matching is accent- and case-insensitive.

    keyword_mode keyword_aliases exact keyword country newspaper subject date_from date_to hijri_month hijri_year with_description limit offset

29. search_audiovisual只读

    Search audiovisual materials

    Search audiovisual materials by keyword and metadata: francophone web video from Burkina Faso, Togo and Benin (TV reports, association and campus recordings), plus deposited Nigerian Hausa/Arabic recordings. Keyword matches title, creator, publisher, subject, spatial, language, source, the item's own description (the richest text most of these items have) and its transcription where one exists. Each row says which population it is from (`source_type`) and carries either `external_url` (a video to watch) or `media_url` (a file), never both.

    keyword country language medium publisher source_type subject limit offset

30. search_by_sentiment只读

    Filter articles by AI sentiment

    Filter articles by claude-haiku-5-5 sentiment labels (accent/case-insensitive exact match). One model's reading, not a consensus — 5 other models scored the same articles and often disagree; get_sentiment_distribution with model:"all" shows by how much. `subjectivity` is much the weakest of the three scales, so treat a set selected on it as a lead to read rather than as a finding.

    polarity centrality subjectivity country subject disputed limit offset

31. search_documents只读

    Search archival documents

    Search the small archival-documents subset (~26 items: Islamic association reports, flyers, project documents — mostly Burkina Faso). Use French concept keywords regardless of the user's report language. Most have OCR text and an AI description. Call with no arguments to list all.

    keyword country limit offset

32. search_images只读

    Search photographs

    Search the IWAC photographs (30 items: mosques, radio stations, schools, signage and street scenes documented during fieldwork). Keyword matches title, creator, subject, place and the rare caption. Each result carries `image_url` (the full-resolution file), `coordinates` ('lat, lng' where known) and the canonical IWAC page. Call with no arguments to list all. Captions are almost never present, so prefer subject/place filters over keywords, or semantic_search_images when it is enabled.

    keyword country subject spatial creator date_from date_to limit offset

33. search_index只读

    Search authority index

    Search the IWAC authority index (persons, places, organisations, events, subjects) by name. Accent/case-insensitive.

    keyword index_type limit offset

34. search_publications只读

    Search publications

    Search Islamic publications (periodical issues, books). `keyword` matches title, subject, table of contents, and full OCR text (TOC hits come back as matching_toc_entries); use French concept keywords regardless of the user's report language. Filter by newspaper/series, subject, country and year. Use list_periodicals to discover series titles, and get_publication_fulltext for keyword excerpts from a single issue.

    keyword_mode keyword_aliases exact keyword newspaper subject country date_from date_to hijri_month hijri_year limit offset

35. search_references只读

    Search academic references

    Search academic references (journal articles, book chapters, theses, books, reports) by keyword and metadata. `keyword` requires every word in the title + abstract ("quote" a phrase). References are multilingual: try French and English title/abstract keywords when relevant; metadata/filter values such as `reference_type` and `language` use French labels. Results include a short abstract snippet — use get_reference for the full abstract and bibliographic detail.

    keyword author reference_type subject country language date_from date_to limit offset

36. semantic_search_articles只读

    Semantic search for articles

    Semantic search over article title + full text, including articles whose OCR is not public. Query in any language. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.

    query country newspaper date_from date_to limit

37. semantic_search_images只读

    Semantic search for photographs

    Find photographs by describing what they SHOW, in any language ('mosquée en construction', 'street signage in Arabic'). This is cross-modal: the ranking runs against a multimodal embedding of the photograph itself, not against a caption, so it works even though only 2 of the 30 images have one. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.

    query country limit

38. semantic_search_publications只读

    Semantic search for publications

    Semantic search over publication tables of contents, present for ~40% of issues (none for An-Nasr Vendredi, 130 of 695 Islam Info issues): use search_publications for the rest. Rows show the first 600 characters of each table. Query in any language. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.

    query country limit

39. semantic_search_references只读

    Semantic search for academic references

    Semantic search over academic references by title + abstract, across languages. Only references with an abstract (about half) are covered; use search_references for the rest. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.

    query reference_type country language date_from date_to limit