By Hamish Cunningham, Allan Hanbury, Stefan Rüger
This ebook constitutes the court cases of the 1st info Retrieval Facility convention, IRFC 2010, held in Vienna, Austria, im may perhaps 2010. The eleven papers offered have been conscientiously reviewed and chosen from 20 fine quality submissions. IRF meetings desire to resonate particularly with younger researchers. this primary convention aimed to take on 4 complementary examine parts: info retrieval, semantic net applied sciences for IT, average language processing for IR, and large-scale or allotted computing for the above components.
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Additional info for Advances in Multidisciplinary Retrieval: First Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010, Proceedings (Lecture ... Applications, incl. Internet/Web, and HCI)
In: Proceedings of the 10th Australasian Document Computing Symposium (2005) 5. : MG4J at TREC 2005. In: The Fourteenth Text REtrieval Conference (TREC 2005) Proceedings, number SP, Citeseer, vol. 500, p. 266 (2005) 6. : Elements of Knowledge-free and Unsupervised lexical acquisition. PhD thesis (2007) 7. : Information retrieval by constrained spreading activation in semantic networks. Information Processing & Management 23(4), 255–268 (1987) 8. : Knowledge, expectations, and inductive reasoning within conceptual hierarchies.
A task related to the prior art search task is presented by the invalidity search run at NTCIR 5 , and 6 ). Invalidity searches are exercised in order to render speciﬁc claims of a patent, or the complete patent itself, invalid by identifying relevant prior art published before the ﬁling date of the patent in question. As such, this kind of search, that can be utilized as a means of defense upon being charged with infringement, is related to prior art search. Likewise to the prior art search task of CLEF IP 09, the starting point of the task is given by a patent document, and a viable corpus consists of a collection of patent documents.
As part of this we will also describe in detail the process of generating representative term sets for speciﬁc IPC elements. The IPC is a hierarchical classiﬁcation system comprised of roughly seventy thousand elements. These elements are spread over ﬁve main layers that are exemplary depicted in Figure 2 together with a sample IPC classiﬁcation code. Each patent document is assigned to one or more elements within this hierarchy with respect to its described technical invention. To extract this knowledge, and allow for its representation in form of a hierarchical structure, a methodology comprised of 4 distinct steps is applied.
Advances in Multidisciplinary Retrieval: First Information Retrieval Facility Conference, IRFC 2010, Vienna, Austria, May 31, 2010, Proceedings (Lecture ... Applications, incl. Internet/Web, and HCI) by Hamish Cunningham, Allan Hanbury, Stefan Rüger