Similarity Analysis of Patent Claims Using Natural Language Processing Techniques

Anusudha, K.; Sangeetha, A.; Ayeswarya, S.

doi:10.1109/iccima.2007.40

Cited by 18 publications

(12 citation statements)

References 3 publications

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“…A natural source for analogical stimuli is the U.S. patent database, which is the source of analogies for the work presented here, as well as a great deal of other research, including TRIZ [33] using heuristic rules to help engineers overcome impasses in functional reasoning by searching through patents; an axiomatic conceptual design tool [34] combining TRIZ and functional basis; patent mining [35][36][37] characterizing them by citations, claims, average number of words per claim, number of classes that the patent spans, etc. ; design repository work incorporating function-based search using Chi Matrix and Morphological Matrix techniques [38]; PatViz [39], allowing for visual exploration of iterative and complex patent searches and queries using all types of patent data, including full text, which relies on structures that are either predefined or userdefined classification schemes; patent database search using a mapped functional basis [40]; a BioMedical Patent Semantic Web [41] finding semantic associations between biological terms within biomedical patent abstracts and returning a ranked list of patent resources and a fully connected Semantic Web that displays the relationships between the important terms and between resources; and a topic model based taxonomy or hierarchical structure only used to categorize the remaining documents into "topics" [42].…”

Section: Computational Design Toolsmentioning

confidence: 99%

The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output

Chan

Cagan

et al. 2013

Journal of Mechanical Design

210

134

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This work lends insight into the meaning and impact of "near" and "far" analogies. A cognitive engineering design study is presented that examines the effect of the distance of analogical design stimuli on design solution generation, and places those findings in context of results from the literature. The work ultimately sheds new light on the impact of analogies in the design process and the significance of their distance from a design problem. In this work, the design repository from which analogical stimuli are chosen is the U.S. patent database, a natural choice, as it is one of the largest and easily accessed catalogued databases of inventions. The "near" and "far" analogical stimuli for this study were chosen based on a structure of patents, created using a combination of Latent Semantic Analysis and a Bayesian based algorithm for discovering structural form, resulting in clusters of patents connected by their relative similarity. The findings of this engineering design study are contextualized with the findings of recent work in design by analogy, by mapping the analogical stimuli used in the earlier work into similar structures along with the patents used in the current study. Doing so allows the discovery of a relationship between all of the stimuli and their relative distance from the design problem. The results confirm that "near" and "far" are relative terms, and depend on the characteristics of the potential stimuli. Further, although the literature has shown that "far" analogical stimuli are more likely to lead to the generation innovative solutions with novel characteristics, there is such a thing as too far. That is, if the stimuli are too distant, they then can become harmful to the design process. Importantly, as well, the data mapping approach to identify analogies works, and is able to impact the effectiveness of the design process. This work has implications not only in the area of finding inspirational designs to use for design by analogy processes in practice, but also for synthesis, or perhaps even unification, of future studies in the field of design by analogy.

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Section: Computational Design Toolsmentioning

confidence: 99%

The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output

Chan

Cagan

et al. 2013

Journal of Mechanical Design

210

134

View full text Add to dashboard Cite

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“…Also, the method proposed in this paper can be useful in scenarios where the meta-data (topics or labels) associated with a paper or patent is either not available or is available at a different level of granularity. This algorithm can even be used as a powerful feature with other document classification algorithms as features, like the Semantic similarity based features [13], Textual Features [14], Image-based Features [15] Table 3. Partial list of Five most similar documents with authority documents ping classes.…”

Section: Resultsmentioning

confidence: 99%

An Algorithm for Classifying Articles and Patent Documents Using Link Structure

Indukuri

Mirajkar

Sureka

2008

2008 the Ninth International Conference on Web-Age Information Management

Self Cite

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Studying link structure of the World Wide Web (WWW) is an area which has attracted a lot of interest in recent times.Several papers have been published on structural analysis of hyperlinked environments such as the WWW. The WWW can be modeled as a graph and valuable information can be derived by analyzing links between the web-pages primarily for the purpose of building better search engines. Many novel methods have been presented to discover communities from the WWW and discover authoritative web-pages. Citation analysis is a branch of information science on which plenty of research has been done. Citation analysis pertains to analysis of articles and research paper citations in a scholarly field and deriving useful information from it. It has primarily been used as a useful tool to quantify and judge the impact of a paper or a journal. The work presented in this paper lies at the intersection of the two fields: structural analysis of WWW and citation analysis. In this paper, we present a method for classifying documents (such as articles and patents containing references) to a class or topic based on their link structure, references and citations. The method consists of analyzing the link structure of a corpus to first identify authoritative papers and assigning a class label to them. The class labels are assigned manually by a domain expert by going through the respective documents. The next step consists of identifying related papers to the authoritative papers using citation analysis. The authoritative papers, their class labels and their related papers constitute a model. Papers for which class label needs to be determined are classified based on the created model.

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“…The authors of [3] propose a technique for claim similarity analysis which could be used for building patent processing tools to support patent analysts. They compute a similarity score between two claims based on simple lexical matching and knowledge based semantic matching.…”

Section: Related Workmentioning

confidence: 99%

Patent Claim Decomposition for Improved Information Extraction

Parapatics

Dittenbach²

2011

Current Challenges in Patent Information Retrieval

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In several application domains research in natural language processing and information extraction has spawned valuable tools that support humans in structuring, aggregating and managing large amounts of information available as text. Patent claims, although subject to a number of rigid constraints and therefore forced into foreseeable structures, are written in a language even good parsing algorithms tend to fail miserably at. This is primarily caused by long and complex sentences that are a concatenation of a multitude of descriptive elements. We present an approach to split patent claims into several parts in order to improve parsing performance for further automatic processing.

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Similarity Analysis of Patent Claims Using Natural Language Processing Techniques

Cited by 18 publications

References 3 publications

The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output

The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output

An Algorithm for Classifying Articles and Patent Documents Using Link Structure

Patent Claim Decomposition for Improved Information Extraction

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