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An experiment in document retrieval using conceptual graphs

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-58328-9_5openalex-snapshot
Linguistic processing of text for a large-scale conceptual Information Retrieval system
inferredcites →https://doi.org/10.1007/3-540-61534-2_16openalex-snapshot
Sound and complete forward and backward chainings of graph rules
inferredcites →https://doi.org/10.1007/3-540-61534-2_8openalex-snapshot
Conceptual graph aboutness
inferredcites →https://doi.org/10.1007/3-540-61534-2_9openalex-snapshot
Conceptual structures and structured documents
inferredcites →https://doi.org/10.1007/bf00123690openalex-snapshot
Formalisms for grammatical knowledge representation
inferredcites →https://doi.org/10.1016/0020-0271(71)90024-6openalex-snapshot
A definition of relevance for information retrieval
inferredcites →https://doi.org/10.1145/214174.214175openalex-snapshot
A visual retrieval environment for hypermedia information systems
inferredcites →https://doi.org/10.1145/234173.234209openalex-snapshot
Information extraction
inferredcites →https://doi.org/10.1145/234173.234210openalex-snapshot
Natural language processing for information retrieval
inferredcites →https://doi.org/10.1145/234313.234371openalex-snapshot
Text databases and information retrieval
inferredcites →https://doi.org/10.1147/rd.301.0070openalex-snapshot
Conceptual graphs for semantics and knowledge processing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/10720076_50openalex-snapshot
Comparison of Conceptual Graphs
inferred← citeshttps://doi.org/10.1007/10722280_14openalex-snapshot
Towards a Unified Querying System of Both Structured and Semi-structured Imprecise Data Using Fuzzy View
inferred← citeshttps://doi.org/10.1007/3-540-44469-6_29openalex-snapshot
Information Retrieval with Conceptual Graph Matching
inferred← citeshttps://doi.org/10.1007/3-540-44759-8_12openalex-snapshot
Flexible Comparison of Conceptual Graphs*
inferred← citeshttps://doi.org/10.1007/3-540-48659-3_22openalex-snapshot
A Pure Graph-Based Solution to the SCG-1 Initiative
inferred← citeshttps://doi.org/10.1007/978-1-4614-2317-1_18openalex-snapshot
Using Conceptual Graph Matching Methods to Semantically Mediate Ontologies
inferred← citeshttps://doi.org/10.1007/978-3-642-36546-1_49openalex-snapshot
Semantic Representation and Search Techniques for Document Retrieval Systems
inferred← citeshttps://doi.org/10.1007/bfb0027909openalex-snapshot
The CORALI project: From conceptual graphs to conceptual graphs via labelled graphs
inferred← citeshttps://doi.org/10.1007/bfb0054912openalex-snapshot
A platform allowing typed nested graphs: How CoGITo became CoGITaNT
inferred← citeshttps://doi.org/10.1007/bfb0054920openalex-snapshot
Fuzzy order-sorted logic programming in conceptual graphs with a sound and complete proof procedure
inferred← citeshttps://doi.org/10.1007/bfb0054925openalex-snapshot
Ontologies and conceptual structures
inferred← citeshttps://doi.org/10.1109/paciia.2009.5406414openalex-snapshot
Ontology concept similarity measurement and validation in semantic query
inferred← citeshttps://doi.org/10.1145/1088622.1088646openalex-snapshot
Matching utterances to rich knowledge structures to acquire a model of the speaker's goal
inferred← citeshttps://doi.org/10.1145/336296.336361openalex-snapshot
Ontology-supported and ontology-driven conceptual navigation on the World Wide Web
inferred← citeshttps://doi.org/10.1145/945645.945671openalex-snapshot
Using transformations to improve semantic matching
inferred← citeshttps://doi.org/10.14236/ewic/irsg1998.8openalex-snapshot
Effective and Efficient Relational Query Processing Using Conceptual Graphs
inferred← citeshttps://doi.org/10.47839/ijc.6.1.424openalex-snapshot
RISING OF THE TEXT DOCUMENTS SEARCH PRECISION BY USING THE ADAPTIVE ONTOLOGY
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