Proceedings ArticleDOI
A loosely-coupled integration of a text retrieval system and an object-oriented database system
W. Bruce Croft,Lisa A. Smith,Howard R. Turtle +2 more
- pp 223-232
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TLDR
This paper describes an approach to complex object retrieval using a probabilistic inference net model and an implementation of this approach using a loose coupling of an object-oriented database system (IRIS) and a text retrieval system based on inference nets (INQUERY).Abstract:
Document management systems are needed for many business applications. This type of system would combine the functionality of a database system, (for describing, storing and maintaining documents with complex structure and relationships) with a text retrieval system (for effective retrieval based on full text). The retrieval model for a document management system is complicated by the variety and complexity of the objects that are represented. In this paper, we describe an approach to complex object retrieval using a probabilistic inference net model, and an implementation of this approach using a loose coupling of an object-oriented database system (IRIS) and a text retrieval system based on inference nets (INQUERY). The resulting system is used to store long, structured documents and can retrieve document components (sections, figures, etc.) based on their contents or the contents of related components. The lessons learnt from the implementation are discussed.read more
Citations
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Book
Search Engines: Information Retrieval in Practice
TL;DR: This text provides the background and tools needed to evaluate, compare and modify search engines and numerous programming exercises make extensive use of Galago, a Java-based open source search engine.
PatentDOI
System of document representation retrieval by successive iterated probability sampling
TL;DR: An information retrieval system based on probabilities that documents meet information needs that is iteratively adjusted through the samples as the probabilities are scored for documents in samples.
Journal ArticleDOI
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
TL;DR: The basic concepts of probabilistic approaches to information retrieval are outlined and the principles and assumptions upon which the approaches are based are presented as mentioned in this paper, and various models proposed in the development of IR are described, classified, and compared using a common formalism.
Patent
System, method, and computer program product for managing and analyzing intellectual property (ip) related transactions
Kevin G. Rivette,Irving S. Rappaport,Luke Hohmann,David Puglia,David Goretsky,Adam Jackson,Charles Rabb,David W. Smith,Brian Park,Warren Thornthwaite,Jorge A. Navarrete,Robert J. Muller,Harvey Alcabes,Donald Brannon,Matthew Schnitz +14 more
TL;DR: In this paper, a system, method, and computer program product for processing data is described, where the system maintains first databases of patents and second databases of non-patent information of interest to a corporate entity.
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System, method, and computer program product for creating subnotes linked to portions of data objects after entering an annotation mode
TL;DR: In this paper, the authors present a method for placing an application in an annotation mode, where an annotation is created and then linked to a portion of an immutable data object, and location information is displayed proximate to the annotation mode location information indicates a location of the linked portion in the data object.
References
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Book
Introduction to Modern Information Retrieval
Gerard Salton,Michael J. McGill +1 more
TL;DR: Reading is a need and a hobby at once and this condition is the on that will make you feel that you must read.
Journal ArticleDOI
Evaluation of an inference network-based retrieval model
Howard R. Turtle,W. Bruce Croft +1 more
TL;DR: Network representations show promise as mechanisms for inferring probable relationships between documents and queries and have been used in information retrieval since at least the early 1960s.
Book ChapterDOI
The INQUERY Retrieval System
TL;DR: A retrieval system (INQUERY) that is based on a probabilistic retrieval model and provides support for sophisticated indexing and complex query formulation is described.
Journal ArticleDOI
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Journal ArticleDOI
Inference Networks for Document Retrieval
Howard R. Turtle,W. Bruce Croft +1 more
TL;DR: The use of inference networks to support document retrieval and a network-basead retrieval model is described and compared to conventional probabilistic and Boolean models.