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Get a complete overview of all senses for a Danish word in a single call. Replaces the common pattern of calling get_word_synsets → get_synset_info per result → get_word_synonyms, collapsing 5-15 HTTP round-trips into one SPARQL query. Only returns synsets where the word is a primary lexical member (i.e. the word itself has a direct sense in the synset), excluding multi-word expressions that merely contain the word as a component. Args: word: The Danish word to look up Returns: List of dicts, one per synset, each containing: - synset_id: Clean synset identifier (e.g. "synset-3047") - label: Human-readable synset label - definition: Synset definition (may be truncated with "…") - ontological_types: List of dnc: type URIs - synonyms: List of co-member lemmas (true synonyms only) - hypernym: Dict with synset_id and label of the immediate broader concept, or null - lexfile: WordNet lexicographer file name (e.g. "noun.animal"), or null if absent Example: overview = get_word_overview("hund") # Returns list of 4 synsets, the first being: # {"synset_id": "synset-3047", # "label": "{hund_1§1; køter_§1; vovhund_§1; vovse_§1}", # "definition": "pattedyr som har god lugtesans ...", # "ontological_types": ["dnc:Animal", "dnc:Object"], # "synonyms": ["køter", "vovhund", "vovse"], # "lexfile": "noun.animal"} # Pass synset_id to get_synset_info() for full JSON-LD data on any result: # full_data = get_synset_info(overview[0]["synset_id"])

Find synonyms for a Danish word through shared synsets (word senses). SYNONYM TYPES IN DANNET: - True synonyms: Words sharing the exact same synset - Context-specific: Different synonyms for different word senses Note: Near-synonyms via wn:similar relations are not currently included The function returns all words that share synsets with the input word, effectively finding lexical alternatives that express the same concepts. Args: word: The Danish word to find synonyms for Returns: Comma-separated string of synonymous words (aggregated across all word senses) Example: synonyms = get_word_synonyms("hund") # Returns: "køter, vovhund, vovse" Note: Check synset definitions to understand which synonyms apply to which meaning (polysemy is common in Danish).

Get comprehensive RDF data for a DanNet word (lexical entry). UNDERSTANDING THE DATA MODEL: Words are ontolex:LexicalEntry instances representing lexical forms. They connect to synsets via senses and have morphological information. KEY RELATIONSHIPS: 1. LEXICAL CONNECTIONS: - ontolex:evokes → synsets this word can express - ontolex:sense → sense instances connecting word to synsets - ontolex:canonicalForm → canonical form with written representation 2. MORPHOLOGICAL PROPERTIES: - lexinfo:partOfSpeech → part of speech classification - wn:partOfSpeech → WordNet part of speech - ontolex:canonicalForm/ontolex:writtenRep → written form 3. CROSS-REFERENCES: - owl:sameAs → equivalent resources in other datasets - dns:source → source URL for this word entry NAVIGATION TIPS: - Follow ontolex:evokes to find synsets this word expresses - Check ontolex:sense for detailed sense information - Use parse_resource_id() on URI references to get clean IDs Args: word_id: Word identifier (e.g., "word-11021628" or just "11021628") Returns: Dict containing: - All RDF properties with namespace prefixes (e.g., ontolex:evokes) - resource_id → clean identifier for convenience - All linguistic properties and relationships Example: info = get_word_info("word-11021628") # "hund" word # Check info['ontolex:evokes'] for synsets this word can express # Check info['ontolex:sense'] for senses