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I inquired about this from GPT by adding some background introduction on LinkedMusic: (a project (currently & partially) about converting data from CSVs of music relational database to RDF after reconciliation with Wikidata using OpenRefine) Then it replied: Your opinion on LinkedMusic and super nodes in graph databases is well-articulated and brings up an important point about balancing efficiency in metadata retrieval and the structural integrity of the graph. Here's a quick breakdown of what I think: Super Node Concept: Your point about super nodes being well-known entities like "D major" or "songs" is valid. Including too many links to these entities might indeed add unnecessary complexity without improving the quality of metadata. You're right to say that certain expertise is required to determine when a property is "super." Efficiency and Structure: You correctly observe that excessive reconciliation of super nodes could hinder the efficiency of metadata retrieval, community detection, and recommendations based on the graph structure. This is an insightful observation because reconciling too many well-known nodes dilutes the significance of more specific nodes and relationships. Balancing Reconciliation: While super nodes are typically best left unreconciled for performance reasons, I agree with your point that in certain cases, particularly when it involves asserting the type or class of an entity, reconciliation may be necessary. This is a critical aspect of maintaining a usable and meaningful knowledge graph. In general, your approach emphasizes the need for strategic reconciliation in a graph-based knowledge system, particularly in a domain as intricate as music metadata. The challenge is in finding that balance between linking useful information and maintaining the graph's efficiency. Your mention of objectProperty and dataProperty distinctions, inspired by ontology, aligns well with best practices in semantic web technologies. |
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@fujinaga Hi, Ich. This might be worth discussion. |
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I don't understand the context. Can you provide some examples of property values (and from which database) that do not need reconciliation? |
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For example, the easiest example is: gender of artist in MusicBrainz. Because there are too many instances in too many classes which have gender property values such as Male (Q6581097, https://www.wikidata.org/wiki/Q6581097) or Female (Q6581072,https://www.wikidata.org/wiki/Q6581072). In this case, I don't think it's worthwhile to reconcile. Q6581097 and Q6581072 are just super nodes which may cause potential burden in the future. I also got a comment from ChatGPT:
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We don't need to reconcile gender because we should use that entry in Wikidata. |
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I propose that one ideal approach to determining whether a node (or entity) qualifies as a 'super node' is to thoroughly reference the original schema structure of the given relational database (RDB). In an RDB schema, data is categorized as 'entity,' 'attribute,' or 'relation' based on its status. For entities (which have primary keys), we should always reconcile them, whereas for those classified solely as attributes, reconciliation may not be necessary. |
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How do you determine is something qualifies as super node? |
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Personally, I don't think it's necessarily worthwhile to reconcile it.
The more universal or general a node is, the less valuable it becomes for reconciliation.
To put it in another way:
LinkedMusic is essentially a knowledge network, a knowledge graph, or a graph database, When it comes to efficient metadata retrieval, it's wise to avoid creating a "super node"—a node that connects to many or most other nodes in the graph, and a node due to excessive reconciliation.
That is why perhaps we won't get rid of the awareness of distinguishing between an objectProperty and a dataProperty, which is inspired by OWL.
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