Schindler et al., 2021 - Google Patents
Somesci-a 5 star open data gold standard knowledge graph of software mentions in scientific articlesSchindler et al., 2021
View PDF- Document ID
- 5506664158558637387
- Author
- Schindler D
- Bensmann F
- Dietze S
- Krüger F
- Publication year
- Publication venue
- Proceedings of the 30th ACM International Conference on Information & Knowledge Management
External Links
Snippet
Knowledge about software used in scientific investigations is important for several reasons, for instance, to enable an understanding of provenance and methods involved in data handling. However, software is usually not formally cited, but rather mentioned informally …
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold data:image/svg+xml;base64,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 data:image/svg+xml;base64,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 [Au] 0 title abstract description 10
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2765—Recognition
- G06F17/2775—Phrasal analysis, e.g. finite state techniques, chunking
- G06F17/278—Named entity recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/21—Text processing
- G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
- G06F17/2247—Tree structured documents; Markup, e.g. Standard Generalized Markup Language [SGML], Document Type Definition [DTD]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2785—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30613—Indexing
- G06F17/30619—Indexing indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30731—Creation of semantic tools
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/21—Text processing
- G06F17/24—Editing, e.g. insert/delete
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
- G06F17/30023—Querying
- G06F17/30038—Querying based on information manually generated or based on information not derived from the media content, e.g. tags, keywords, comments, usage information, user ratings
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30908—Information retrieval; Database structures therefor; File system structures therefor of semistructured data, the undelying structure being taken into account, e.g. mark-up language structure data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Schindler et al. | Somesci-a 5 star open data gold standard knowledge graph of software mentions in scientific articles | |
Beheshti et al. | A systematic review and comparative analysis of cross-document coreference resolution methods and tools | |
Van Hooland et al. | Exploring entity recognition and disambiguation for cultural heritage collections | |
Konstantinova | Review of relation extraction methods: What is new out there? | |
Schindler et al. | The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central | |
Gaur et al. | Semi-supervised deep learning based named entity recognition model to parse education section of resumes | |
Ronzano et al. | Knowledge extraction and modeling from scientific publications | |
Boella et al. | Learning from syntax generalizations for automatic semantic annotation | |
Maharjan et al. | Developing language-tagged corpora for code-switching tweets | |
Niekler et al. | Leipzig corpus miner-a text mining infrastructure for qualitative data analysis | |
Schindler et al. | Investigating software usage in the social sciences: A knowledge graph approach | |
Kelley et al. | A framework for creating knowledge graphs of scientific software metadata | |
Jiomekong et al. | Extracting ontological knowledge from Java source code using Hidden Markov Models | |
Beheshti et al. | Big data and cross-document coreference resolution: Current state and future opportunities | |
Krüger et al. | A literature review on methods for the extraction of usage statements of software and data | |
Hussein | Analyzing scientific papers based on sentiment analysis | |
Baris et al. | ECOL: E arly Det ec tion of CO VID L ies Using Content, Prior Knowledge and Source Information | |
Heuss et al. | A comparison of NER tools wrt a domain-specific vocabulary | |
Pauzi et al. | Text similarity between concepts extracted from source code and documentation | |
Osborne et al. | TechMiner: extracting technologies from academic publications | |
Patel et al. | Application of machine learning techniques in clinical information extraction | |
Li et al. | Feature-specific named entity recognition in software development social content | |
Mirrezaei et al. | The triplex approach for recognizing semantic relations from noun phrases, appositions, and adjectives | |
Room | Named entity recognition | |
Bruches et al. | A system for information extraction from scientific texts in Russian |