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User-friendly Comparison of Similarity Algorithms on Wikidata [article]

Filip Ilievski and Pedro Szekely and Gleb Satyukov and Amandeep Singh
2021 arXiv   pre-print
At present, the similarity interface supports four algorithms, based on: graph embeddings (TransE, ComplEx), text embeddings (BERT), and class-based similarity.  ...  To support anticipated applications that require efficient similarity computations, like entity linking and recommendation, we also provide a REST API that can compute most similar neighbors for any Qnode  ...  The graph embedding-based metrics are somewhere in between class-based similarity and BERT.  ... 
arXiv:2108.05410v1 fatcat:evlpdhb2xre4fc63nlzkef2t6m

Wembedder: Wikidata Entity Embedding Web Service

Finn Årup Nielsen
2017 Zenodo  
The embedding is trained on the Wikidata dump using Gensim's Word2Vec implementation and a simple graph walk. A REST API is implemented.  ...  I present a web service for querying an embedding of entities in the Wikidata knowledge graph.  ...  graphs and pre-trained corpora-based resources for building the embedding [15] .  ... 
doi:10.5281/zenodo.1009128 fatcat:wikp5623lvg6lpujwqaxjze2qu

Wembedder: Wikidata entity embedding web service [article]

Finn Årup Nielsen
2017 arXiv   pre-print
The embedding is trained on the Wikidata dump using Gensim's Word2Vec implementation and a simple graph walk. A REST API is implemented.  ...  I present a web service for querying an embedding of entities in the Wikidata knowledge graph.  ...  graphs and pre-trained corpora-based resources for building the embedding [15] .  ... 
arXiv:1710.04099v1 fatcat:vayem5prqfhstc2itf7qpwnsga

A Service Recommendation Algorithm based on Knowledge Graph and Collaborative Filtering

Bo Jiang, Junchen Yang, Yanbin Qin, Tian Wang, Muchou Wang, Weifeng Pan
2021 IEEE Access  
This paper proposes a service recommendation model based on knowledge graph and collaborative filtering.  ...  All the API entities in the service knowledge graph are embedded into the low-dimensional space through the representation learning algorithm, then the distances between the API vectors are calculated  ...  API-based recommendation set (AS2) and the Mashup-based recommendation set (MS2).  ... 
doi:10.1109/access.2021.3068570 fatcat:w2kcqqdomva3xggychtdprhlze

Task-Oriented API Usage Examples Prompting Powered By Programming Task Knowledge Graph [article]

Jiamou Sun, Zhenchang Xing, Xin Peng, Xiwei Xu, Liming Zhu
2020 arXiv   pre-print
We integrate our knowledge graph and task search method in the IDE, and develop an observe-push based tool to prompt developers with task-oriented API usage examples.  ...  Our evaluation confirms the high quality of the constructed knowledge graph, and show that our code matching based task search can recommend effective code solutions to programming issues asked on Stack  ...  They develop knowledge graph based task search by natural language queries.  ... 
arXiv:2006.07058v1 fatcat:fwjfupasp5ay5oj6w3c4pkciam

The Geranium Platform: A KG-Based System for Academic Publications

Giovanni Garifo, Giuseppe Futia, Antonio Vetrò, Juan Carlos De Martin
2021 Information  
that leverages the properties of the PKG to offer advanced services for search and exploration.  ...  In this paper, we describe and make available the Polito Knowledge Graph (PKG) –which semantically connects information on more than 23,000 publications and 34,000 authors– and Geranium, a semantic platform  ...  Acknowledgments: The authors would like to thank Cosma Alex Vergari and Mehdi Khrichfa, interns at the Nexa Center for Internet and Society, for their contributions in the development of the Geranium platform  ... 
doi:10.3390/info12090366 fatcat:r5fbvib7m5e3lb5ejcc4ejjkdy

geMsearch: Personalized Explorative Music Search

Christian Esswein, Markus Schedl, Eva Zangerle
2018 International Conference on Intelligent User Interfaces  
To bridge this gap, we propose geMsearch, an approach for personalized, explorative music search based on graph embedding techniques.  ...  Using search facilities requires the user to have some idea about the targeted music and to formulate a query that accurately describes this music, whereas recommender systems are traditionally geared  ...  of the musical ecosystem 2 . geMsearch stands for graph embedding based music search and consists of two main components, which we will detail in this section: the graph embedding and retrieval engine  ... 
dblp:conf/iui/EssweinSZ18 fatcat:acqeolrgoze2vah7j45ehffb6q

Embedding Code Contexts for Cryptographic API Suggestion:New Methodologies and Comparisons [article]

Ya Xiao, Salman Ahmed, Wenjia Song, Xinyang Ge, Bimal Viswanath, Danfeng Yao
2021 arXiv   pre-print
Multi-HyLSTM leverages program analysis to guide the API embedding and recommendation.  ...  We present a new neural network-based approach, Multi-HyLSTM for API recommendation --targeting cryptography-related code.  ...  Asm2Vec [17] embedded assembly functions based on their control flow graphs and apply embedding vectors for similarity detection between binaries.  ... 
arXiv:2103.08747v2 fatcat:ru4mk4jgezhpbm6bhrj6bnojem

Holistic Combination of Structural and Textual Code Information for Context based API Recommendation [article]

Chi Chen, Xin Peng, Zhenchang Xing, Jun Sun, Xin Wang, Yifan Zhao, Wenyun Zhao
2020 arXiv   pre-print
and a tree-based deep learning approach for API recommendation.  ...  Context based API recommendation is an important way to help developers find the needed APIs effectively and efficiently.  ...  a graph-based deep learning model and a tokenbased deep learning model for effective API recommendation  ... 
arXiv:2010.07514v1 fatcat:4bftbdddwjbktn6z4qoaoli6mi

Automating Mashup Service Recommendation via Semantic and Structural Features

Wei Xiong, Zhao Wu, Bing Li, Bo Hang
2020 Mathematical Problems in Engineering  
This paper proposes a mashup service recommendation approach via merging semantic features from API descriptions and structural features from the mashup-API network.  ...  To validate our approach, large-scale experiments are conducted based on a real-world accessible service repository, ProgrammableWeb. The results show the effectiveness of our proposed approach.  ...  , and recommendation based on fusion embedding.  ... 
doi:10.1155/2020/4960439 fatcat:blshjgji3ve2zki7r3lsstuecm

Combining Text Embedding and Knowledge Graph Embedding Techniques for Academic Search Engines

Gengchen Mai, Krzysztof Janowicz, Bo Yan
2018 International Semantic Web Conference  
Next, the semantic similarity between papers and entities can be measured based on the learned embedding models.  ...  Paragraph vector and knowledge graph embedding are used to embed papers and entities into low dimensional hidden space.  ...  ... 
dblp:conf/semweb/MaiJY18 fatcat:o2ehtvu7zjb4ljjraorwnxcnlq

CogDL: A Toolkit for Deep Learning on Graphs [article]

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang (+6 others)
2022 arXiv   pre-print
Finally, we demonstrate the effectiveness and efficiency of CogDL for real-world applications in AMiner--a large-scale academic mining and search system.  ...  It has been widely adopted in various real-world applications from diverse domains, such as social and information networks, biological graphs, and molecular graphs.  ...  ACKNOWLEDGMENTS The work is supported by the National Key R&D Program of China (2018YFB1402600), NSFC for Distinguished Young Scholar (61825602), and NSFC (61836013).  ... 
arXiv:2103.00959v3 fatcat:34lxb53rxjb2hnx5ramu5nomdq

Programming Bots by Synthesizing Natural Language Expressions into API Invocations [article]

Shayan Zamanirad, Boualem Benatallah, Moshe Chai Barukh, Fabio Casati, Carlos Rodriguez
2017 arXiv   pre-print
Our solution is two faceted: Firstly, we construct an API knowledge graph to encode and evolve APIs; secondly, leveraging the above we apply techniques in NLP, ML and Entity Recognition to perform the  ...  Today, within the Web and Mobile development community, complex applications are being stringed together with a few lines of code -- all made possible by APIs.  ...  ACKNOWLEDGMENT We Acknowledge Data to Decisions CRC for funding scholarship on Query Answering and Predictive Techniques for Analyst Tasks in End-User Big Data Analytic.  ... 
arXiv:1711.05410v1 fatcat:qoot5pnzt5d67n6sz54ccekz54

Open Drug Knowledge Graph

Mark Mann, Filip Ilievski, Mohammad Rostami, Aastha, Basel Shbita
2021 Extended Semantic Web Conference  
Our analyses show that the resulting graph and its embeddings can capture drug similarity through their associated symptoms and address common, knowledge-intensive medical search scenarios.  ...  Automatic knowledge-based systems can assist medical professionals in making more informed recommendations and decisions.  ...  However, these embeddings show early signs of progress for achieving goals around drug recommendation via nearest neighbor search within a graph embedding space.  ... 
dblp:conf/esws/MannIRAS21 fatcat:6lux26pbnvao3lkgshsn353r5a

Enabling Automatic Discovery and Querying of Web APIs at Web Scale using Linked Data Standards

Franck Michel, Catherine Faron-Zucker, Olivier Corby, Fabien Gandon
2019 Companion Proceedings of The 2019 World Wide Web Conference on - WWW '19  
To pursue this goal, we suggest to (1) provision rich descriptions of data sources and query services thereof, (2) leverage the power of Web search engines to discover data sources, and (3) rely on simple  ...  This description can be dynamically transformed into a Web page embedding rich markup data.  ...  Thirdly, metadata-based search results have a limited relevance.  ... 
doi:10.1145/3308560.3317073 dblp:conf/www/MichelFCG19 fatcat:efmlsfnh5jcjncsdg3mx4p2zx4
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