Pragmatic Querying in Heterogeneous Knowledge Graphs
Authors: Amar Viswanathan
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our evaluation root queries would include star, chain and complex query types.Due to the lack of benchmarks, we are looking at evaluation on both synthetic -LUBM1 and non-synthetic ACE datasets. Current Progress Our first approach was to devise a novel Pragmatics and Data Aware Query Reformulation Algorithm. This is a work in progress and we are targeting the 25th International World Wide Web Conference 2. We summarize the results of this reformulation with an example query q1 {Find all nations who are involved in attacks }, which looks like : Table 1 shows the results of the reformulation for query q1 using techniques developed by our Algorithm. |
| Researcher Affiliation | Collaboration | Amar Viswanathan Tetherless World Constellation Rensselaer Polytechnic Institute 110 Eighth Street, Troy, NY USA 12180 (...) The principal project investigators are myself, my advisor, James A.Hendler and Geeth De Mel from IBM Research. |
| Pseudocode | Yes | Our first approach was to devise a novel Pragmatics and Data Aware Query Reformulation Algorithm. This is a work in progress and we are targeting the 25th International World Wide Web Conference 2. We summarize the results of this reformulation with an example query q1 {Find all nations who are involved in attacks }, which looks like : q1 {entity event role} := entity role event entity rdf:type individual event rdf:type attack Table 1 shows the results of the reformulation for query q1 applying Algorithm 1 |
| Open Source Code | No | The paper does not provide an explicit statement about releasing open-source code or a link to a code repository for the described methodology. |
| Open Datasets | Yes | Due to the lack of benchmarks, we are looking at evaluation on both synthetic -LUBM1 and non-synthetic ACE datasets. (...) The example is queried on a sample Knowledge Graph KG that is extracted from 75,000 documents, which are in the ACE 05 3 schema. (...) 1http://swat.cse.lehigh.edu/projects/lubm/ 3http://www.itl.nist.gov/iad/mig//tests/ace/ace05/doc/ |
| Dataset Splits | No | The paper mentions using LUBM and ACE datasets but does not specify any training, validation, or test splits (e.g., percentages or counts). |
| Hardware Specification | No | The paper does not provide any specific details about the hardware (e.g., CPU, GPU, memory) used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific version numbers for any software dependencies, libraries, or programming languages used. |
| Experiment Setup | No | The paper describes the characteristics of the data used (e.g., schema details, number of classes/axioms) but does not provide specific experimental setup details such as hyperparameters, optimizer settings, or training configurations for any model or algorithm. |