Information Retrieval: Algorithms and Heuristics

1998 ◽  
Author(s):  
David A. Grossman ◽  
Ophir Frieder
Keyword(s):  
Information Retrieval ◽  
Retrieval Algorithms

Combining Families of Information Retrieval Algorithms Using Metalearning

2004 ◽  
pp. 159-169 ◽  
Author(s):  
Michael Cornelson ◽  
Ed Greengrass ◽  
Robert L. Grossman ◽  
Ron Karidi ◽  
Daniel Shnidman
Keyword(s):  
Information Retrieval ◽  
Retrieval Algorithms

Multidimensional Ontology-Based Information Retrieval for Academic Counseling

2014 ◽  
Vol 4 (3) ◽  
pp. 66-82
Author(s):  
S. S. Lam ◽  
Samuel P. M. Choi
Keyword(s):  
Information Retrieval ◽  
Document Retrieval ◽  
Domain Ontology ◽  
Academic Counseling ◽  
Counselling Services ◽  
Multidimensional Search ◽  
User Query ◽  
Retrieval Algorithms ◽  
Interactive User ◽  
Interactive User Interface

Conventional information retrieval can only locate documents containing user specified keywords. Integrating domain ontology with information retrieval extends the keyword-based search to semantic search and thus potentially improves the precision and recall of the document retrieval. In this paper, a set of new multidimensional ontology-based information retrieval algorithms is proposed for searching both specific and related terms. In particular, the relevant data properties of an instance, the relevant concepts, the relevant related concepts, and the related instances of a given user query can be identified from the domain ontology via the multidimensional search. Using the proposed algorithms, an intelligent counselling system which provides 24x7 online academic counselling services is developed. Through an interactive user-interface and domain ontology, the system facilitates students to find desired information by reviewing and refining their query. The article also outlines how to enable ontology-based searching for a conventional website.

Multidimensional Ontology-Based Information Retrieval for Academic Counseling

2018 ◽  
pp. 1726-1744
Author(s):  
S. S. Lam ◽  
Samuel P. M. Choi
Keyword(s):  
Information Retrieval ◽  
Document Retrieval ◽  
Domain Ontology ◽  
Academic Counseling ◽  
Counselling Services ◽  
Multidimensional Search ◽  
User Query ◽  
Retrieval Algorithms ◽  
Interactive User ◽  
Interactive User Interface

Conventional information retrieval can only locate documents containing user specified keywords. Integrating domain ontology with information retrieval extends the keyword-based search to semantic search and thus potentially improves the precision and recall of the document retrieval. In this paper, a set of new multidimensional ontology-based information retrieval algorithms is proposed for searching both specific and related terms. In particular, the relevant data properties of an instance, the relevant concepts, the relevant related concepts, and the related instances of a given user query can be identified from the domain ontology via the multidimensional search. Using the proposed algorithms, an intelligent counselling system which provides 24x7 online academic counselling services is developed. Through an interactive user-interface and domain ontology, the system facilitates students to find desired information by reviewing and refining their query. The article also outlines how to enable ontology-based searching for a conventional website.

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