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Selectivity estimation for hybrid queries over text-rich data graphs

Andreas Wagner, Veli Bicer, Thanh D. Tran
2013 Proceedings of the 16th International Conference on Extending Database Technology - EDBT '13  
With this general probabilistic solution, BN + , selectivity estimations can be obtained for queries over text-rich graph-structured data, which may contain structured and string predicates (hybrid queries  ...  In this work, we propose a template-based probabilistic model, which enables selectivity estimation for general graph-structured data.  ...  Towards a holistic solution for selectivity estimation of queries over text-rich data graphs, we provide the following contributions: (1) for our work we rely on an instantiation of a general template-based  ... 
doi:10.1145/2452376.2452421 dblp:conf/edbt/WagnerBT13 fatcat:e2g7j4e2wvfa7nqagc7wdem6wy

Holistic and Compact Selectivity Estimation for Hybrid Queries over RDF Graphs [chapter]

Andreas Wagner, Veli Bicer, Thanh Tran, Rudi Studer
2014 Lecture Notes in Computer Science  
Text-rich RDF data is frequently queried via predicates matching structured data, combined with string predicates for textual constraints (hybrid queries).  ...  Evaluating hybrid queries efficiently requires means for selectivity estimation.  ...  Such text-rich RDF descriptions are often queried with queries, which comprise predicates that match structured data as well as words in text data (hybrid queries).  ... 
doi:10.1007/978-3-319-11915-1_7 fatcat:ufz44u3z4zdedooeusolv2qthi

2020 Index IEEE Transactions on Knowledge and Data Engineering Vol. 32

2021 IEEE Transactions on Knowledge and Data Engineering  
for Non-Simple Graph in Big Data Pre-Processing.  ...  ., +, TKDE July 2020 1249-1262 An Attribute-Specific Ranking Method Based on Language Models for Key- word Search over Graphs.  ... 
doi:10.1109/tkde.2020.3038549 fatcat:75f5fmdrpjcwrasjylewyivtmu

Extractive Text Summarization for Social News using Hybrid Techniques in Opinion Mining

2020 International Journal of Engineering and Advanced Technology  
By adopting these summarizing approaches, the accuracy in data retrieval of summarized content via search queries can be enhanced compared to performing search over the broad range of original textual  ...  data/documents for decision making because of the time constraint.  ...  By adopting these summarizing approaches, the accuracy in data retrieval of summarized content via search queries can be enhanced compared to performing search over the broad range of original textual  ... 
doi:10.35940/ijeat.b3356.029320 fatcat:7vwnlgsef5arpllozo24oraotu

A Semantic Graph based Topic Model for Question Retrieval in Community Question Answering

Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan, Dell Zhang
2016 Proceedings of the Ninth ACM International Conference on Web Search and Data Mining - WSDM '16  
To alleviate this problem, we present a hybrid approach that blends several language modelling techniques for question retrieval, namely, the classic (query-likelihood) language model, the state-ofthe-art  ...  However, as the text of each question is short, there is usually a lexical gap between the queried question and the past questions.  ...  Definition 3 (Semantic Graph): A semantic graph G consists of V the set of entities in the text data and E the set of edges representing the relations between entities.  ... 
doi:10.1145/2835776.2835809 dblp:conf/wsdm/ChenJYYZ16 fatcat:t7xjguxvenbazmefcb57rse7gi

Using Hybrid Search and Query for E-discovery Identification [chapter]

Dave Grosvenor, Andy Seaborne
2009 Lecture Notes in Computer Science  
We use hybrid search and query to conduct a rich high-level search, which identifies the key people and products to coarsely locate relevant data-sources.  ...  We investigated the use of a hybrid search and query for locating enterprise data relevant to a requesting party's legal case (e-discovery identification).  ...  This gives a rich retrieval model allowing text search and query of structured and semi-structured data to be used together.  ... 
doi:10.1007/978-3-642-04930-9_51 fatcat:qermjpzp6nexjeos2nti6n372e

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing

Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
2020 IEEE Access  
In the third group, the article by Yang and Ma, ''Parallel heuristics for balanced graph partitioning based on richness of implicit knowledge,'' proposes a parallel balanced graph partitioning framework  ...  The article by Ding, ''SVM-based feature selection for differential space fusion and its application to diabetic fundus image classification,'' presents a feature selection algorithm for differential space  ... 
doi:10.1109/access.2020.3043060 fatcat:qbqk5f4ojvadlazhk2mc343sra

System RX

Kevin Beyer, Normen Seemann, Tuong Truong, Bert Van der Linden, Brian Vickery, Chun Zhang, Roberta J. Cochrane, Vanja Josifovski, Jim Kleewein, George Lapis, Guy Lohman, Bob Lyle (+2 others)
2005 Proceedings of the 2005 ACM SIGMOD international conference on Management of data - SIGMOD '05  
The new support for XML includes native support for storage and indexing as well as query compilation and evaluation support for the latest industry-standard query languages, SQL/XML and XQuery.  ...  System RX is the first truly hybrid system that comingles XML and relational data, giving them equal footing.  ...  The optimizer utilizes data statistics to build a cardinality model, which is then used to estimate costs for the execution plans.  ... 
doi:10.1145/1066157.1066197 dblp:conf/sigmod/OzcanCPKBJZ05 fatcat:zdaqtbw4dbaxpifxh36weluawa

Semantic Similarity Measures for Medical Information Retrieval

Karim Gasmi
2020 International Journal of Advanced Trends in Computer Science and Engineering  
The conceptual representation is one of the most commonly used approaches as a solution for semantic information retrieval.  ...  Most approaches apply NLP tools to map terms from queries and documents to concepts and then compute the relevance scores based on the concept representation.  ...  To improve our graph-based method for concept selection, we propose to enhance the constructed graph by centrality algorithm and dyadic threshold method.  ... 
doi:10.30534/ijatcse/2020/213922020 fatcat:ebwvv4s3evcj3l6hspcybjy7ta

ECO: Event Detection from Click-through Data via Query Clustering [chapter]

Prabhu K. Angajala, Sanjay K. Madria, Mark Linderman
2012 Lecture Notes in Computer Science  
The evolutionary pattern for the co-occurrences of query-page pairs in a hybrid cover graph is imposed for the quality purpose over a moving window period.  ...  The problem of event detection is transformed into query clustering by generating clustershybrid cover graphs; each hybrid cover graph corresponds to a real-world event.  ...  The evolutionary pattern for the co-occurrence of query-page pairs in a hybrid cover graph is imposed for the quality purpose over a moving window period.  ... 
doi:10.1007/978-3-642-33606-5_20 fatcat:dqh5sqipqbdafab7ygeuuqw3v4

Literature Review on Extractive Text Summarization Approaches

Saiyed Saziyabegum, Priti S.
2016 International Journal of Computer Applications  
Extractive approach uses linguistic and statistical approach for selection of sentences for summary.  ...  Therefore research community is developing new approaches to for automatic text summarization. Automatic text summarization system creates summary.  ...  For query-specific summaries, it is easy to select sentences only from the pertinent sub graph, while for generic summaries; sentences may be taken from each of the sub-graphs.  ... 
doi:10.5120/ijca2016912574 fatcat:zwxchjs5wve57jrmgd2nkl4jhm

Review and Comparative Analysis of Topic Identification Techniques

Deepti Sehrawat, Maharshi Dayanand University, Rohtak, Haryana (India)
2019 International Journal of Advanced Trends in Computer Science and Engineering  
Soft computing techniques including fuzzy logic, neural networks, support vector machine, ant colony optimization, swarm optimization, and their hybrid approaches provide a good solution for text clustering  ...  A future dimension is also proposed to develop a hybrid approach for topic identification using different techniques.  ...  Good quality classified texts can be selected from unlabeled online corpus [32] . H. Wen Jing et al. (2017) proposed a topic computation model for documents to satisfy range queries.  ... 
doi:10.30534/ijatcse/2019/71832019 fatcat:g46lyzxg7jcehlci4r62nxbtpe

Multi-document Summarization via Deep Learning Techniques: A Survey

Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, QUAN Z. Sheng
2022 ACM Computing Surveys  
Multi-document summarization (MDS) is an effective tool for information aggregation that generates an informative and concise summary from a cluster of topic-related documents.  ...  We also propose potential solutions for some discussed research directions. Paper Selection. We used Google Scholar as the main search engine to select representative works from 2015 to 2021.  ...  High-quality papers were selected from top NLP and AI journals and conferences, include ACL 1 , EMNLP 2 ,  ... 
doi:10.1145/3529754 fatcat:r4lngnzrgjbfziazokpd2c5s44

Contextualization using hyperlinks and internal hierarchical structure of Wikipedia documents

Muhammad Ali Norozi, Paavo Arvola, Arjen P. de Vries
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
These rich sources of information should be exploited as contextual evidence.  ...  The in-links and out-links of a node in the citation graph are used as external context, while the internal document structure provides internal, within-document context.  ...  Contextualization is a mechanism to estimate the relevance of a given structural text or document unit with information obtainable from -besides the unit itself -the surrounding structural text or document  ... 
doi:10.1145/2396761.2396855 dblp:conf/cikm/NoroziAV12 fatcat:gmpjpuxrm5b5hljmsgdp6sf7di

Exploration and mining of web repositories

Nan Zhang, Gautam Das
2014 Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14  
#nodes over time, effective diameter of the graph over time, largest connected component size over time, Sampling Over Graph Browsing Interfaces Unbiased Sampling  Survey and Tutorials for random  ...  o Structured data: rich literature of using sampling for approximate query processing (see tutorials [Das03, GG01]) • An interesting question: What is the average price of all 2008 Toyota Prius @ Yahoo  ...  • Level 1: a query is needed to determine whether user A befriends B. • Level 2: a query reveals the list of user A's friends. • Level 3: a query reveals the list of user A's friends, as well as the degree  ... 
doi:10.1145/2556195.2556197 dblp:conf/wsdm/0004D14 fatcat:qd3n4ceurrhbxpyw5ix3vcoe3q
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